#AI-driven AI-assisted dynamic sales copywriting

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AI-Powered Client Acquisition: Finding, Engaging, and Converting Your Ideal Customers

AI-Powered Client Acquisition Finding, Engaging, and Converting Your Ideal Customers So, you’ve optimized your pricing strategy with AI (if you haven’t, what are you doing?!). Now, let’s talk about what’s arguably even more important—getting the right people to pay those prices. Because here’s the thing: Not all customers are created equal. If you’re spending time chasing the wrong leads,…

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Top 10 AI SDR Platforms in California to Supercharge Your Sales Pipeline

In today’s rapidly evolving sales landscape, integrating artificial intelligence into your sales development process is no longer optional—it’s essential. Sales Development Representatives (SDRs) are the backbone of B2B pipeline generation, and AI-driven SDR platforms are revolutionizing how companies in California generate leads, qualify prospects, and close deals.

Here’s a deep dive into the top 10 AI SDR platforms in California that are helping businesses streamline sales outreach, boost efficiency, and significantly increase conversion rates.

Landbase – AI-Powered Lead Discovery and Outreach

Headquartered in California, Landbase is leading the AI SDR revolution with its data-enriched platform tailored for outbound prospecting. It intelligently combines real-time data with machine learning to identify high-value leads, craft personalized messages, and engage prospects at the right moment.

Key Features:

Dynamic lead scoring

AI-personalized email sequences

CRM integrations

Smart outreach timing

Perfect for B2B sales teams looking to optimize every touchpoint, Landbase turns raw data into real opportunities.

Apollo.io – Intelligent Prospecting and Sales Automation

Based in San Francisco, Apollo.io is one of the most trusted platforms for AI sales engagement. It offers a comprehensive B2B database, AI-assisted messaging, and real-time sales analytics. Its automation features help SDRs reduce manual work and spend more time closing.

Top Tools:

Smart email templates

Data enrichment

Predictive lead scoring

Workflow automation

Apollo.io is a go-to choice for tech startups and enterprises alike.

Outreach – AI Sales Engagement That Converts

Outreach.io, a Seattle-headquartered company with a strong presence in California, provides one of the most powerful AI SDR platforms. It transforms how sales teams operate by offering AI-driven recommendations, sentiment analysis, and performance insights.

What Sets It Apart:

AI-guided selling

Multichannel engagement (email, calls, LinkedIn)

Machine learning-powered insights

Cadence optimization

Outreach is ideal for scaling sales organizations needing data-driven performance tracking.

Cognism – AI Lead Generation with Global Reach

Though originally based in the UK, Cognism has made a strong mark in the California tech ecosystem. Its AI SDR tool helps teams identify ICP (ideal customer profile) leads, comply with global data regulations, and execute personalized outreach.

Highlighted Features:

AI-enhanced contact data

Intent-based targeting

GDPR and CCPA compliance

Integrated sales intelligence

Cognism is perfect for international sales development teams based in California.

Clay – No-Code Platform for AI Sales Automation

Clay enables SDRs to build custom workflows using a no-code approach. The platform empowers sales teams to automate prospecting, research, and outreach with AI scraping and enrichment tools.

Noteworthy Tools:

LinkedIn automation

Web scraping + lead enrichment

AI content generation

Zapier and API integrations

California-based startups that value flexibility and custom workflows gravitate toward Clay.

Lavender – AI-Powered Sales Email Assistant

Lavender isn’t a full-stack SDR platform but is one of the most innovative tools on the market. It acts as an AI email coach, helping SDRs write better-performing sales emails in real time.

Key Features:

Real-time writing feedback

Personalization suggestions

Email scoring and A/B testing

AI grammar and tone check

Sales reps using Lavender have reported higher open and reply rates—a game-changer for outreach campaigns.

Regie.ai – AI Content Generation for Sales Campaigns

California-based Regie.ai blends copywriting and sales strategy into one AI platform. It allows SDRs to create personalized multichannel sequences, from cold emails to LinkedIn messages, aligned with the buyer’s journey.

Top Capabilities:

AI sales sequence builder

Persona-based content creation

A/B testing

CRM and outreach tool integrations

Regie.ai helps your SDR team speak directly to prospects’ pain points with crafted messaging.

Exceed.ai – AI Chatbot and Email Assistant for SDRs

Exceed.ai uses conversational AI to engage leads via email and chat, qualify them, and book meetings—all without human intervention. It’s a great tool for teams with high inbound traffic or looking to scale outbound efficiency.

Standout Features:

Conversational AI chatbot

Lead nurturing via email

Calendar integration

Salesforce/HubSpot compatibility

California companies use Exceed.ai to support their SDRs with 24/7 lead engagement.

Drift – AI Conversational Marketing and Sales Platform

Drift combines sales enablement and marketing automation through conversational AI. Ideal for SDRs focused on inbound sales, Drift captures site visitors and guides them through intelligent chat funnels to qualify and schedule calls.

Core Tools:

AI chatbots with lead routing

Website visitor tracking

Personalized playbooks

Real-time conversation data

Drift’s AI makes the customer journey frictionless, especially for SaaS companies in Silicon Valley.

Seamless.AI – Real-Time Lead Intelligence Platform

Seamless.AI uses real-time data scraping and AI enrichment to build verified B2B contact lists. With its Chrome extension and integration capabilities, SDRs can access lead insights while browsing LinkedIn or corporate sites.

Essential Features:

Verified contact emails and numbers

Real-time search filters

AI-powered enrichment

CRM syncing

Its ease of use and data accuracy make it a must-have for SDRs targeting California’s competitive tech market.

How to Choose the Right AI SDR Platform for Your Business

With numerous AI SDR tools available, selecting the right one depends on your business size, target market, tech stack, and sales strategy. Here are some quick tips:

Define your goals: Are you looking to scale outbound outreach, improve response rates, or automate email campaigns?

Assess integrations: Ensure the platform integrates seamlessly with your existing CRM and sales tools.

Consider customization: Choose a platform that allows flexibility for custom workflows and sequences.

Look at analytics: Prioritize platforms that offer robust data and insights to refine your strategy.

Final Thoughts

Adopting an AI SDR platform isn’t just a competitive advantage—it’s a necessity in California’s high-stakes, fast-moving sales environment. Whether you’re a startup in Palo Alto or an enterprise in Los Angeles, leveraging these AI tools can dramatically enhance your pipeline growth and sales performance.

Take the next step in modernizing your sales process by choosing the AI SDR platform that best aligns with your business needs. Let technology do the heavy lifting so your team can focus on what they do best—closing deals.

[claritysolutions]

How AI & Automation Are Changing the Future of Lead Generation

“The future is already here — it’s just not evenly distributed.” – William Gibson

In the high-stakes world of sales, timing, personalization, and speed are everything. Traditional outbound lead generation methods—cold calls, batch-and-blast emails, static prospect lists—are rapidly becoming relics. Today, AI and automation are not just buzzwords; they’re redefining the future of lead generation services. The companies that understand and leverage these technologies will own the pipeline, dominate the market, and outpace competitors still stuck in the past.

This blog explores how AI and automation are transforming outbound lead generation, and how businesses and agencies can harness these innovations to generate better leads, faster—and at scale.

Why Traditional Lead Generation Models Are Breaking Down

Outbound lead generation has always been about finding the right prospects, reaching out with the right message, and doing it at the right time. But doing this manually is:

Time-consuming: Reps waste hours researching prospects and writing emails.

Inconsistent: Results vary wildly from one salesperson to another.

Scalable only with cost: Growth often means hiring more SDRs—not increasing efficiency.

Meanwhile, buyer behavior has changed. According to Gartner, 77% of B2B buyers say their latest purchase was very complex or difficult, and most of their journey is digital and self-directed. This means lead generation must be smarter, more targeted, and more automated.

How AI Is Powering a New Era of Lead Generation Services

1. Smarter Prospecting with Predictive Analytics

AI tools can now analyze your existing customer data to predict who is most likely to convert next. Platforms like Apollo, ZoomInfo, and 6sense use behavioral signals, firmographics, and intent data to:

Build dynamic ideal customer profiles (ICPs)

Identify high-fit, high-intent prospects

Prioritize leads based on conversion likelihood

Instead of sifting through thousands of contacts, sales teams now focus only on those most likely to buy.

2. Hyper-Personalized Outreach at Scale

Personalization is no longer a luxury—it’s an expectation. AI copywriting assistants like Lavender, SmartWriter, or ChatGPT can:

Craft custom email intros based on LinkedIn bios, job roles, and industry news

A/B test subject lines and CTAs automatically

Suggest optimal sending times and sequences

The result? Higher open, reply, and conversion rates—without adding extra hours to your SDRs’ workload.

3. AI Chatbots & Virtual Assistants for 24/7 Engagement

AI-powered chatbots like Drift and Intercom can handle initial prospect interactions around the clock. They:

Qualify leads in real-time based on preset logic

Route hot leads to the right sales reps

Book meetings directly into calendars

This means your lead generation services don’t stop when the workday ends—and your funnel keeps filling even while you sleep.

4. Intent-Based Advertising and Retargeting

AI is revolutionizing outbound lead generation by aligning outreach with buyer intent signals.

Platforms like Bombora and LeadSift monitor what your target audience is researching online

This data triggers automated ads, emails, or outreach sequences

You engage leads the moment they’re actively researching a solution like yours

It’s no longer about being first—it’s about being right on time.

5. Automated Lead Scoring and CRM Integration

AI takes the guesswork out of lead qualification. Modern CRMs (HubSpot, Salesforce Einstein, Zoho) now include:

Predictive lead scoring models

Auto-tagging based on engagement and demographics

Workflow automation to assign leads to reps instantly

Sales reps no longer waste time chasing dead-end leads—they’re focused on the ones that actually close.

The Real Impact: Data-Driven Results from AI-Powered Campaigns

Companies that have embraced AI-led lead generation are seeing measurable gains:

60% increase in qualified leads (Harvard Business Review)

40% reduction in customer acquisition cost (Salesforce Research)

35% increase in appointment booking rates via AI-enhanced cadences (Outreach.io)

Whether you're running in-house campaigns or outsourcing to a lead generation service, automation adds speed, accuracy, and consistency that human-only teams can’t match.

Challenges to Watch (and How to Overcome Them)

While AI and automation offer clear benefits, they also come with challenges:

Over-automation can lead to robotic messaging → Solution: Use human oversight to review and refine

Bad data in = bad results → Solution: Regularly clean and enrich your data sources

Compliance and privacy risks → Solution: Ensure your tools are GDPR and Spam Act compliant, and be transparent with outreach

The key is to balance human creativity with machine efficiency.

The Future Is Hybrid: AI + Human Expertise

The best lead generation results don’t come from choosing between humans and machines—they come from combining the strengths of both. AI handles the research, writing, timing, and scoring. Humans bring nuance, relationship-building, and judgment.

Outbound lead generation is no longer about just working harder. It’s about working smarter—with AI and automation as your co-pilot.

[adacarrybags]

The Future of eBook Sales: Why Bytedi is the Best Platform for Authors

Introduction

The eBook industry is undergoing a rapid transformation, driven by technological advancements and changing reader preferences. Authors today must navigate a landscape shaped by AI-driven publishing, data analytics, and direct-to-reader sales models. Bytedi is emerging as the premier platform for authors, offering cutting-edge tools and innovative solutions to help them stay ahead in this evolving market.

This blog will explore the key trends shaping the future of eBook sales, including the role of AI, reader engagement strategies, and predictions for the next five years. We will also examine how Bytedi provides authors with a competitive advantage in the digital publishing world.

Emerging Trends in eBook Publishing

1. Growth of Direct-to-Consumer (DTC) Sales

Traditional eBook marketplaces like Amazon take a significant portion of an author’s earnings, often up to 60% in royalties. In contrast, direct-to-consumer sales models allow authors to retain higher profits and build direct relationships with their readers. Bytedi provides authors with a dedicated storefront, enabling them to sell their books without middlemen.

2. Increased Demand for Digital-First Content

With over 60% of book buyers preferring digital formats, the demand for eBooks continues to rise. Readers are shifting towards interactive eBooks, serialized content, and multimedia-enhanced storytelling. Bytedi supports authors in creating and distributing digital-first content with ease.

3. AI-Powered Content Curation and Marketing

AI is revolutionizing the way books are marketed and recommended to readers. From personalized reading suggestions to automated email marketing, AI helps authors increase discoverability and maximize sales. Bytedi incorporates AI-driven analytics to help authors target the right audience.

4. Subscription vs. One-Time Purchases

Subscription-based reading platforms are gaining traction, but a significant portion of readers still prefer one-time purchases for premium content. Bytedi allows authors to offer both models, ensuring flexibility in monetization strategies.

AI and Automation in Self-Publishing

1. AI-Generated Book Covers and Descriptions

First impressions matter. AI tools can generate high-converting book covers and descriptions based on market trends and reader preferences. Bytedi provides AI-powered design and copywriting tools to help authors craft compelling book presentations.

2. Smart Pricing and Revenue Optimization

AI-driven pricing algorithms analyze reader demand, competitor pricing, and seasonal trends to suggest optimal price points. Authors using Bytedi can maximize revenue through dynamic pricing models.

3. Automated Marketing Campaigns

AI can automate social media ads, email sequences, and personalized promotions, ensuring that authors spend less time on marketing and more on writing. Bytedi integrates AI-driven marketing tools to streamline author campaigns.

How Bytedi Adapts to the Evolving Digital Book Market

1. Providing a Reader-Centric Experience

Bytedi’s platform is built with readers in mind, offering features such as AI-driven recommendations, customizable reading experiences, and community engagement tools.

2. Enhancing Author Autonomy

Unlike traditional publishing platforms, Bytedi allows authors to retain full control over their pricing, branding, and marketing strategies.

3. Robust Analytics and Performance Tracking

Bytedi provides authors with real-time data on book sales, reader engagement, and marketing performance, helping them make informed decisions about their publishing strategies.

4. Blockchain-Based Copyright Protection

Piracy is a growing concern in the digital book industry. Bytedi leverages blockchain technology to protect intellectual property and ensure secure transactions.

Predictions for the Next Five Years in the eBook Industry

AI-Generated Books Will Become Mainstream – AI tools will assist in content creation, helping authors write faster and more efficiently.

Rise of Interactive eBooks – Multimedia-enhanced storytelling will become more prevalent, with authors incorporating videos, animations, and gamification elements.

Greater Adoption of Decentralized Publishing – More authors will move away from centralized platforms like Amazon and adopt blockchain-based publishing models.

Personalized Reading Experiences Will Drive Engagement – AI-driven customization will enable readers to adjust font styles, color themes, and content structures based on their preferences.

Growth of Author Subscription Models – Authors will create exclusive memberships and fan communities, offering serialized content and early-access releases.

The Role of Reader Engagement and Personalization

1. AI-Powered Personalized Recommendations

AI enhances reader experiences by analyzing reading patterns and suggesting books that match their interests. Bytedi’s recommendation engine ensures that authors' books reach the right audience.

2. Interactive Content and Community Building

Authors can engage readers through Q&A sessions, behind-the-scenes content, and interactive storytelling. Bytedi supports author-reader interactions, fostering long-term loyalty.

3. Data-Driven Content Customization

Bytedi enables authors to leverage data-driven insights to tailor their content for specific audiences, improving reader retention and satisfaction.

Conclusion

The future of eBook sales is driven by AI, direct-to-consumer models, and personalized reader engagement. Bytedi stands out as the best platform for authors, offering higher revenue potential, smart marketing tools, and complete control over book sales.

As the digital publishing industry evolves, authors who embrace these trends will gain a competitive edge. If you’re ready to maximize your eBook sales and build a sustainable writing career, start selling with Bytedi today.

Join Bytedi Now and take control of your publishing success!

[digitalwebmitra]

Use Of AI In Digital Marketing 2025

Use Of AI In Digital Marketing 2025

In 2025, AI (Artificial Intelligence) will continue to be at the forefront of digital marketing, transforming how businesses reach, engage, and convert customers. AI can streamline operations, enhance personalization, optimize customer experiences, and boost ROI. Here’s how AI will be used in digital marketing in 2025:

1. Advanced Personalization and Predictive Analytics

AI-Powered Personalization: AI will take personalization to a new level by analyzing vast amounts of data, including browsing behavior, purchase history, and demographic information, to create highly individualized experiences. This means personalized email content, product recommendations, and even personalized landing pages will become the norm.

Predictive Analytics: AI will predict consumer behavior, identify trends, and recommend future actions based on data insights. This helps marketers understand which products or content a user might be interested in and when to present it, increasing conversion rates and customer loyalty.

2. Automated Content Creation

AI for Copywriting: AI tools like ChatGPT and others will generate high-quality, relevant, and engaging content in seconds. Marketers will be able to create blog posts, social media captions, ad copy, and even video scripts with AI assistance.

Content Curation: AI will help curate and suggest content to users based on their interests, saving time for marketers and ensuring the right content reaches the right audience.

3. Chatbots and Conversational Marketing

AI Chatbots: Advanced chatbots powered by AI will handle real-time customer interactions, offering immediate responses to queries and guiding customers through the sales funnel. By 2025, these bots will be even more intuitive, able to understand complex queries, and provide human-like conversations.

Conversational Marketing: Marketers will leverage AI-driven tools to carry out personalized one-on-one conversations at scale via messaging apps, chat interfaces, or voice assistants. AI will analyze customer behavior during chats and adapt the conversation flow to meet the user’s needs.

4. Voice Search Optimization

Voice Search and AI Integration: As voice assistants become more common, AI will help optimize content for voice searches. Marketers will adapt their SEO strategies to cater to voice search queries that tend to be longer, more natural, and question-based. AI will help brands optimize their websites and content for this shift.

5. Ad Campaign Automation and Optimization

AI-Driven Ad Campaigns: AI will take over the optimization of digital ads in real time, automatically adjusting bids, targeting, and creative elements for the best-performing combinations. This will lead to more efficient ad spending and better ROI.

Dynamic Creative Optimization (DCO): AI will enable dynamic creative optimization, where the ad copy, images, and CTAs are automatically customized for different audience segments based on real-time data. Ads will be tailored for each individual viewer’s interests and behavior.

6. AI-Powered Social Media Marketing

Sentiment Analysis: AI tools will analyze social media conversations and sentiment, helping marketers gauge public perception of their brand and industry trends. This allows brands to react more proactively to consumer needs, complaints, or praises.

Social Media Automation: AI will streamline content posting schedules, ensuring content is published at the right time and across the right platforms to maximize engagement. It will also assist in identifying influencers and managing influencer marketing campaigns.

Predictive Social Engagement: AI will predict the most likely outcomes for social media campaigns and recommend ways to improve engagement based on data analysis.

7. Customer Segmentation and Targeting

Hyper-targeted Advertising: AI will enable marketers to segment their audiences with extreme precision. By analyzing user data, AI will identify new audience segments and allow businesses to target them with highly relevant messaging.

Dynamic Segmentation: Rather than relying on static audience segments, AI will continuously refine audience profiles based on real-time behavior and predictive models, allowing brands to target users more effectively.

8. Video and Image Recognition

AI in Visual Content: AI will analyze images and videos to identify trends, optimize visual content, and provide recommendations for improvements. For example, AI tools will automatically tag products or people in images, which helps improve user engagement and social media discoverability.

Enhanced Video Personalization: AI-powered video editing tools will help create dynamic, personalized video ads that cater to individual user preferences, improving viewer engagement and conversion rates.

9. Dynamic Pricing Models

AI-Powered Pricing: AI will drive dynamic pricing models where prices are automatically adjusted based on factors such as demand, competitor pricing, customer behavior, and market conditions. This ensures competitive pricing and optimal profit margins.

Price Sensitivity Analysis: AI will help businesses understand how sensitive their customers are to price changes, allowing them to adjust pricing strategies accordingly to maximize sales.

10. Enhanced Customer Journey Mapping

AI-Powered Journey Mapping: AI will track and analyze every step of a customer’s journey, from initial awareness to post-purchase. This allows businesses to identify friction points and optimize the customer experience for better engagement, higher conversion rates, and increased customer retention.

Real-Time Adaptation: AI will offer insights into how customers move through the funnel in real time, enabling brands to personalize the experience and adjust the sales approach based on individual needs.

11. Fraud Detection and Security

AI in Cybersecurity: AI will be crucial in detecting fraudulent activities and enhancing security measures within digital marketing platforms. It will use predictive models to identify suspicious behavior and prevent fraudulent transactions, especially in e-commerce and online advertising.

12. AI-Driven Influencer Marketing

Influencer Selection: AI tools will help identify the best influencers by analyzing engagement rates, audience demographics, and content relevance. This will allow brands to collaborate with influencers who are most likely to bring authentic engagement and conversions.

Performance Tracking: AI will also provide insights into influencer campaigns’ effectiveness, tracking metrics like engagement, sales, and brand sentiment.

13. Augmented Reality (AR) and Virtual Reality (VR) Experiences

AI-Enhanced AR/VR: By 2025, AI will play a major role in AR/VR experiences, enhancing the interactivity and personalization of these environments. For example, virtual try-on experiences for fashion and beauty products or interactive brand experiences in the metaverse.

Real-Time Personalization: AR and VR ads will adapt in real time based on the user's actions and preferences, creating highly immersive and relevant marketing experiences.

Key Takeaways:

Efficiency: AI will automate many aspects of digital marketing, improving efficiency, reducing human error, and allowing marketers to focus on creative strategy.

Personalization at Scale: AI will enable businesses to deliver hyper-targeted, personalized experiences for consumers, driving higher engagement and conversion.

Data-Driven Decision Making: By leveraging predictive analytics and real-time data, AI will help marketers make smarter decisions and optimize campaigns for better results.

In 2025, AI will become a central part of digital marketing, helping brands deliver smarter, more efficient, and highly personalized campaigns that drive better customer experiences and ROI.

For more information visit: www.digitalwebmitra.com

[zarazyana]

How Are Sales Teams Using Generative AI to Boost Conversion Rates?

In today’s highly competitive digital landscape, sales teams are constantly searching for innovative strategies to enhance conversion rates and streamline the sales process. Generative AI, a transformative technology that leverages AI models to produce human-like text, images, and even product suggestions, has emerged as a game-changer for sales. By helping teams automate repetitive tasks, personalize customer interactions, generate compelling content, and refine targeting efforts, generative AI is fundamentally reshaping how sales teams operate. This blog explores the multifaceted ways in which sales teams leverage generative AI to boost conversion rates, delving into the technology’s applications, benefits, and practical examples.

The Core Advantages of Generative AI for Sales

Generative AI enhances sales by introducing efficiencies and insights that traditional methods simply cannot match. Here are some of the core advantages it brings to sales teams:

Hyper-Personalization at Scale Personalization has always been crucial in sales, yet tailoring approaches for each potential customer can be resource-intensive. Generative AI enables hyper-personalized customer journeys by analyzing vast customer data and generating unique messages, product recommendations, and email content suited to individual preferences. This level of personalized engagement leads to a higher likelihood of conversion.

Efficiency Through Automation By automating repetitive tasks, generative AI frees up time for sales representatives to focus on more strategic activities, such as relationship building. For instance, AI-driven tools can draft emails, suggest responses, and even assist in qualifying leads, significantly accelerating the sales cycle.

Enhanced Decision-Making with Predictive Insights Generative AI models, like those trained on customer and sales data, provide predictive insights that help sales teams prioritize leads with a higher likelihood of conversion. This data-driven approach boosts productivity by focusing efforts on high-probability opportunities.

Content Generation for Various Touchpoints Sales teams rely heavily on content across the buyer’s journey—from email newsletters to product descriptions. Generative AI can produce high-quality, persuasive content tailored to different audience segments, thereby engaging potential customers at each stage and increasing conversion rates.

Key Applications of Generative AI in Sales

Generative AI is being applied across the sales funnel, enhancing outreach efforts, qualification processes, and post-sales engagement. Here’s how:

1. Automated Lead Nurturing

One of the significant challenges sales teams face is nurturing leads consistently without overloading their schedule. Generative AI models can create automated, personalized content that aligns with each lead’s stage in the buyer journey. By sending highly relevant messages, sales teams can keep prospects engaged and build a foundation for future conversions.

Example: AI-driven tools like HubSpot’s AI capabilities allow teams to segment leads based on behavior and automatically send tailored messages. This approach keeps potential clients warm and nurtures them with valuable information until they’re ready to convert.

2. Smart Lead Qualification and Scoring

AI models can sift through lead data and score them based on historical success indicators, saving teams time and helping them prioritize high-value prospects. This level of precision not only improves efficiency but also directly impacts conversion rates.

Example: Platforms like Salesforce Einstein employ predictive lead scoring, enabling sales reps to allocate resources more strategically and pursue leads with the highest likelihood of conversion.

3. Content Personalization and Dynamic Sales Copywriting

Generative AI can produce personalized messages, ad copy, and dynamic landing pages that adapt based on the user’s behavior and preferences. By appealing to specific customer needs, AI-generated content helps sales teams connect with prospects on a deeper level, which can make a substantial difference in conversion rates.

Example: Jasper, an AI writing tool, generates personalized copy for different audiences, helping sales teams reach out with messages that resonate on an individual level. This personalized touch can lead to higher open rates and click-through rates, ultimately driving conversions.

4. Automating Follow-Up Emails and Response Suggestions

Sales reps spend a substantial amount of time drafting and sending follow-up emails. Generative AI automates this task, drafting customized follow-ups based on recent interactions, customer profile data, and previous buying signals. This ensures timely communication without overwhelming the team.

Example: ChatGPT and similar AI-powered tools can generate conversational follow-ups, answering inquiries, and providing product suggestions. This timely follow-up not only maintains interest but also helps move leads closer to conversion.

5. Sales Pitch Optimization and Real-Time Assistance

Generative AI can analyze past sales pitches to determine the elements that lead to success, helping sales teams refine their messaging. Some AI tools also provide real-time assistance during sales calls or meetings, suggesting relevant information, product details, and answers to customer questions.

Example: Gong.io’s AI platform provides real-time feedback and pitch analysis, helping sales teams align their messaging with customer needs and increase their chances of conversion.

Enhancing Customer Engagement and Retention Through AI

In addition to boosting initial conversions, generative AI plays a significant role in customer engagement and retention:

1. Proactive Customer Support

Generative AI can drive chatbot interactions, providing personalized responses to customer queries, which enhances customer satisfaction and builds loyalty. When customers feel their needs are understood and addressed, they are more likely to engage with a brand.

Example: AI-driven platforms like Drift use chatbots that analyze customer intent, delivering real-time responses and proactively addressing potential pain points before they arise.

2. Up-Selling and Cross-Selling Recommendations

Generative AI can provide personalized product or service recommendations based on customers' previous purchases and browsing history. This proactive approach enhances the chances of customers purchasing additional products or services.

Example: Amazon’s recommendation engine is a prime example of AI in action. Sales teams can utilize similar technology to suggest complementary products, driving incremental sales and increasing average order values.

3. Creating Compelling Visuals and Content for Social Media Campaigns

Generative AI also enables sales teams to create engaging visuals and posts tailored for social media, keeping followers engaged and helping convert them into paying customers. Visual content can attract attention, foster brand awareness, and lead to direct conversions through social platforms.

Example: AI-driven tools like Canva’s text-to-image capabilities can generate visually appealing social posts that attract clicks and increase engagement rates.

Measuring the Impact of Generative AI on Sales

The success of generative AI in sales is often measured by tracking the following KPIs:

Conversion Rate: The percentage increase in conversions directly attributable to AI-driven content or processes.

Customer Engagement Rate: Improved engagement metrics, such as email open and click-through rates, highlight AI’s role in driving interest.

Sales Cycle Duration: With automated lead nurturing and follow-ups, AI can reduce the time needed to move leads through the funnel.

Revenue Growth: Ultimately, AI-driven efficiencies translate into increased revenue for sales teams as they convert more leads into customers.

Tracking these KPIs provides valuable feedback, allowing sales teams to adjust and optimize their AI strategies continuously.

Challenges in Implementing Generative AI for Sales

While generative AI offers remarkable benefits, implementing it in a sales context isn’t without challenges:

Data Privacy and Compliance Customer data privacy remains a top concern. Sales teams must ensure that AI-driven personalization adheres to regulations like GDPR to maintain customer trust.

Integration with Existing Systems Integrating generative AI tools into legacy sales systems can be complex and costly. Ensuring that AI applications are compatible with existing software is essential for seamless functionality.

Training and Adaptation Sales teams must adapt to working with AI tools, which may require training and change management to maximize effectiveness.

Future of Generative AI in Sales

Looking ahead, the role of generative AI in sales will likely grow, with AI becoming more autonomous in decision-making, offering deeper insights into customer behavior, and creating more immersive personalized experiences. Voice-activated AI assistants, real-time sentiment analysis, and AI-driven storytelling are just a few of the innovations that will further transform the sales landscape. As AI models become more sophisticated, their ability to understand nuanced customer needs and provide relevant, timely support will open new avenues for conversion rate optimization.

Conclusion

Generative AI is not only transforming the way sales teams engage with customers but is also proving to be a powerful tool for improving conversion rates. By automating processes, personalizing interactions, and enhancing decision-making, generative AI helps sales teams reach new levels of efficiency and effectiveness. However, the adoption of generative AI in sales requires thoughtful implementation and ongoing optimization to ensure it meets both business and customer expectations. As AI continues to evolve, its applications in sales will only expand, providing teams with more sophisticated tools to win over customers in an increasingly complex market.

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Leveraging AI in Digital Marketing: Trends and Techniques for 2024

As we advance into 2024, the integration of Artificial Intelligence (AI) in digital marketing techniques is proving to be a game-changer. AI is no longer just a buzzword; it’s a powerful tool reshaping how brands connect with their audiences and optimize their marketing strategies. For Indian marketers, understanding and utilizing AI can offer a significant competitive edge. Here’s an in-depth look at the key trends and techniques driving AI in digital marketing this year.

The Growing Influence of AI in Digital Marketing

AI’s influence on digital marketing is expanding rapidly. According to a report by Statista, the global AI in marketing market size is expected to reach $107.5 billion by 2028, growing at a compound annual growth rate (CAGR) of 29.79%. In India, the adoption of AI in marketing is gaining momentum, with businesses leveraging AI to enhance customer experiences and drive growth.

Key AI-Driven Digital Marketing Techniques for 2024

Personalized Customer Experiences

AI excels in analyzing vast amounts of data to deliver highly personalized customer experiences. AI algorithms can track user behavior, preferences, and past interactions to tailor content and product recommendations. For instance, Netflix’s recommendation system, powered by AI, increases user engagement by suggesting content based on individual viewing history. In India, brands can use AI to create customized marketing campaigns that resonate with diverse consumer segments, driving higher engagement and conversions.

Chatbots and Conversational AI

Chatbots, powered by AI, are revolutionizing customer service by providing instant responses and support. According to Juniper Research, chatbots are expected to handle 85% of customer interactions by 2024. In India, where customer service expectations are high, AI-driven chatbots can offer 24/7 support, resolve queries, and even guide users through the sales funnel, improving overall customer satisfaction and operational efficiency.

Predictive Analytics

Predictive analytics uses AI to forecast future trends based on historical data. By analyzing patterns and trends, AI can help marketers predict customer behavior, identify potential leads, and optimize marketing strategies. A study by Forbes Insights found that 64% of organizations that use predictive analytics see a significant increase in revenue. Indian businesses can leverage predictive analytics to fine-tune their marketing strategies and make data-driven decisions.

Dynamic Pricing

AI can adjust pricing in real-time based on various factors such as demand, competition, and customer behavior. Dynamic pricing helps brands stay competitive and maximize revenue. For example, e-commerce platforms in India can use AI to offer personalized discounts and promotions, improving customer retention and increasing sales.

Content Creation and Optimization

AI tools are increasingly capable of generating and optimizing content. From automated copywriting to content curation, AI can assist in creating engaging and relevant material. Tools like GPT-4 can generate blog posts, social media content, and more with minimal human intervention. In India’s competitive digital landscape, leveraging AI for content creation can streamline processes and enhance content quality.

Emerging AI Trends in Digital Marketing for 2024

AI-Enhanced Video Marketing

AI is transforming video marketing by automating video editing, generating video summaries, and personalizing video content. AI tools can analyze viewer data to create customized video experiences that boost engagement. Indian marketers can utilize AI to create compelling video content that resonates with their target audience.

Voice Search Optimization

With the rise of voice assistants like Alexa and Google Assistant, optimizing for voice search is becoming crucial. AI-driven voice search optimization ensures that your content is easily discoverable through voice queries. Brands in India can benefit from this trend by incorporating natural language processing (NLP) into their SEO strategies.

AI-Driven Influencer Marketing

AI can identify and connect with the most suitable influencers for your brand by analyzing their reach, engagement, and audience demographics. This helps in forming strategic partnerships that drive better results. Indian brands can use AI to streamline influencer marketing efforts and maximize ROI.

Enhanced Customer Insights

AI provides deeper insights into customer behavior and preferences through advanced analytics. By understanding customer needs and trends, brands can refine their marketing strategies and improve their targeting. In India’s diverse market, these insights are invaluable for crafting effective campaigns.

Conclusion

AI is revolutionizing digital marketing techniques in 2024, offering new ways to personalize customer experiences, optimize content, and enhance marketing strategies. From AI-driven chatbots and predictive analytics to dynamic pricing and content creation, the applications of AI are vast and impactful. Indian marketers who embrace these AI trends and techniques will be well-positioned to stay ahead of the curve, drive engagement, and achieve their marketing goals. Integrate AI into your digital strategy and unlock new opportunities for growth and success in the digital landscape.

[growwithus12]

Unraveling the Enigma: What Lies Beneath Creative Automation for Social Media?

1. What is Creative Automation for Social Media? Creative automation for social media represents a paradigm shift, leveraging automated tools powered by highly trained Artificial Intelligence to pre-emptively generate creative banners. This extends beyond mere visual appeal, encompassing text and headline generation, coupled with insights into the creative dynamics of social media posts. The orchestration of social media creation, engagement, and management witnesses a reduction in the temporal investments required for account upkeep and growth.

This innovative approach hinges on delegating social media-related tasks, necessitating minimal human intervention. While not all facets succumb to automation, sales-centric ad texts can be seamlessly harmonized with user-designed creatives, yielding results augmented by analytics and reports.

2. Benefits of Creative Automation for Social Media Posts 2.1 Liberation from Manual Design Shackles Creative automation emerges as the haven for creative minds, bridging the chasm between time efficiency and innovation. AI-assisted tools stand as the bastions of temporal salvation, championing not only time and effort conservation but also the production of quality content reaching expansive audiences.

The intrinsic significance of creative automation extends to not only rescuing one from the drudgery of continuous content generation but also executing marketing endeavors within budget constraints. The synergy of technology and creativity emerges as a potent cost-effective force.

2.2 AI-Powered Solutions: Crafting Engagement-Focused Excellence The realm of options in crafting high-quality posts is abundant, with AdCreative.ai standing tall among the choices. This AI-driven solution harnesses data to meticulously design posts tailored to user preferences, ensuring stellar outcomes.

When embarking on the creation of a social media post, users can effortlessly upload images or choose from an array of templates. The versatility extends to cropping images to desired shapes, determining post titles, defining target audiences, and selecting post types — all in under thirty minutes. The efficiency lies not only in the quality but also in the time-effectiveness of generating detailed posts in diverse formats.

2.3 Trimming Workloads: Empowering Brands to Prioritize Significance The reduction in designer and copywriter workloads becomes a cornerstone for brands seeking efficiency and cost-effectiveness. Platforms like AdCreative.ai provide a spectrum of options, from template selection and image customization to auto-cropping and project organization. This streamlined process becomes an efficient conduit for creators looking to save both time and resources.

The diminished reliance on designers and copywriters allows teams to redirect focus towards marketing initiatives, idea pitching, and prudent cost utilization. Creative automation, with its arsenal of pre-formed features, emerges as an indispensable ally for expedited post creation.

3. Navigating the Multiverse: Creative Automation’s Role in Multi-Channel Branding 3.1 Scaling Heights: From Square to Story Size in Seconds Post creation, especially with diverse templates, undergoes a seamless transformation. Altering images to align with themes and incorporating essential post details culminate in the swift generation of projects. The provision of downloadable posts in various sizes and shapes — square (10801080), landscape (1280720), or pin size (1000*1500) — underscores accessibility and effort reduction.

AdCreative.ai, as an avant-garde tool, stands as a creator’s cherished companion, catering to various channels with tailored posts in a heartbeat.

4. Harmonizing Collaborative Endeavors: Social Media Marketing Agencies Unleashing Collective Potential 4.1 Real-Time Synchrony: Empowering Teams Through Collaboration The embrace of real-time collaboration unfolds as a game-changer for Social Media Marketing Agencies. Employees, teams, or entire agencies converge on digital platforms like AdCreative, transcending geographical constraints. Simultaneous project generation under a unified account heralds a new era in collaborative efficiency, bypassing the limitations of face-to-face interactions.

Collaboration becomes the crucible for refining teamwork and problem-solving. The collective effort not only amplifies productivity but also instills a sense of purpose, fostering innovation, streamlined processes, heightened success rates, and enhanced communication.

5. The Rescuer in AI’s Guise: Amplifying Return-On-Ad-Spend Through AI-Powered Marketing 5.1 Deciphering the Mechanism: Crafting High-Converting Ad Creatives The trained model within the AI framework unravels the intricacies of designing ad creatives that wield the power of conversion. Strategic placement of product images, company logos, and ad copy text becomes the hallmark of AI-generated ad creatives, optimizing conversion rates.

5.2 AdCreative.ai’s Symphony: A Symphony of Ad Variations in Seconds The advertising platform orchestrated by AdCreative.ai unfurls its prowess by swiftly birthing hundreds of ad variations. This expedites the creation of impactful ad campaigns, shaving precious time off the process and amplifying business ROI.

The allure of automation and AI-assisted tools lies in their multifaceted impact — time-saving, cost efficiency, and operational efficacy. These tools furnish all the essential elements, ensuring the brand stays in the spotlight.

Embark on a journey of crafting high-converting ads on AdCreative.ai within minutes. Upload graphics and text, and let AdCreative.ai be your guiding hand. Unlock $500 in FREE Google Ad Credits.

[bloggershojib]

ApexEngine Review: Unveiling the Truth – Scam or Legit?

Introduction

In today’s digital age, staying ahead of the curve means harnessing the power of cutting-edge technology. The product we’re about to explore in this comprehensive article offers an exciting opportunity to do just that. With features that cover a wide array of needs, it’s a game-changer that can revolutionize the way you do business. In this article, we will delve into every aspect of this innovative product, covering aspects such as its functionality, advantages, and how it can benefit various individuals and businesses. So let’s get started and explore the world of “ApexEngine.”

About the ApexEngine

ApexEngine is a 2-in-1 platform that caters to a multitude of needs, making it an ideal solution for a wide range of professionals and businesses. It excels in content creation, graphic design, code generation, language translation, and much more. This powerful tool is driven by Microsoft Azure and Google Bard, ensuring it operates at the highest levels of efficiency and productivity.

How does it work?

Step #1:

 Login: 

The process begins by logging into the ApexEngine dashboard. Here, you can provide specifications for your desired requirements, whether it’s content, graphics, marketing materials, code, and more.

Step #2: 

Create:

 The magic happens here. ApexEngine utilizes the potent Google Bard AI to generate the required materials according to your specifications.

Step #3: 

Profit: 

The final step is where you reap the rewards. Use the top-quality content and materials generated by ApexEngine to enhance your business, leading to increased conversions and sales. Alternatively, you can offer multitasking services to clients as a freelancer and keep 100% of the profits.

What are the features?

Effortless Content Creation: No more manual work. Let AI handle the heavy lifting.

Visually Appealing Content: Generate stunning graphics, images, and more using just keywords.

Marketing Material: Create sales copy, video scripts, email swipes, and more.

Diverse Content: Write articles, blogs, social media posts, and much more.

Dynamic Code: Craft functional, dynamic codes.

Multilingual Support: Translate content into over 100 languages.

Voice Command Technology: Enjoy Siri-like voice command capabilities.

Automation: Automate repetitive business tasks to save time and effort.

All-in-One Solution: Replace third-party tools and subscriptions with this all-in-one solution.

Who is this ApexEngine perfect for?

The ApexEngine caters to a wide audience:

Content creators and writers

Digital Marketers

Graphic Designers

Business owners and entrepreneurs

Freelancers and agencies

Programmers and developers

Educators and students

Small businesses and startups

Anyone seeking efficiency and creativity

Pros and cons

Pros

Powered by Microsoft Azure and Google Bard

Human-like assistant for clear answers

Effortless content creation

High-quality marketing material

SEO-friendly, plagiarism-free content

AI-driven graphics and design

Dynamic code generation

Language translation

Automation for routine tasks

Free commercial license

User-friendly interface

Iron-clad money-back guarantee

Cons

None have been identified so far.

How to Earn Money with This Product

One of the most exciting aspects of ApexEngine is its income-generating potential. Here’s how you can make money with this product:

Start your own content creation agency and charge clients, keeping 100% of the profits.

Design and sell AI graphics and images to clients.

Create digital products like eBooks and courses for additional profit.

Offer copywriting services to clients.

Provide coding, website, and funnel creation and maintenance services.

Language translation services.

Personal Experience

Many individuals and businesses have already experienced the transformative power of ApexEngine. This product has streamlined operations, increased productivity, and opened new doors to creativity. What one happy customer had to say was as follows:

“The extent to which ApexEngine has transformed my company is beyond words. From content creation to dynamic code generation, it’s a true all-in-one solution. The time and cost savings are incredible, and the quality is top-notch. I find it impossible to contemplate reverting to the previous method.” A Content Client

What bonus will you get?

Money-Back Guarantee

The developers of ApexEngine are so confident in the product’s capabilities that they offer a 30-day money-back guarantee. This means you can try the product with no risk. If it doesn’t meet your expectations, you can simply request a refund.

Frequently Asked Questions

Q: What is ApexEngine?

ApexEngine is a powerful 2-in-1 virtual machine that offers a comprehensive solution for various tasks, including content creation, graphic design, code generation, language translation, and more.

Q: How can I use ApexEngine?

ApexEngine can be utilized for a range of purposes, including creating high-quality content, generating marketing materials, crafting code, designing graphics, translating languages, and more, by simply providing keywords or using voice commands.

Q: Can ApexEngine help me with content creation?

A: Absolutely! ApexEngine can assist in creating diverse content, including blog posts, articles, eBooks, stories, essays, and marketing materials, ensuring they are plagiarism-free and of high quality.

Q: Is ApexEngine suitable for graphic design purposes?

A: Yes! ApexEngine provides AI-driven graphic design capabilities, enabling the generation of creative and visually appealing graphics and designs using just a few keywords.

Q: How does ApexEngine assist with code generation?

ApexEngine helps craft dynamic code, making it an ideal tool for both professional programmers and those seeking assistance in code creation and algorithm development.

Q: Can I use ApexEngine for language translation?

A: Absolutely! ApexEngine serves as a language translator, allowing you to translate content into your desired language quickly and accurately.

View More

[wikimakemoney]

How to set your first AI project up for success

30-second summary:

Choosing your first AI project is essential as digital organizations evolve.

The correct use of AI is helping brands with insights with precision, accuracy and scale.

The benefits are measurable and real if you know what you want to achieve.

AI is here to help and complement marketers’ skills, help them with laborious tasks and unleash more creativity and elevate personal and professional performance.

A look at five simple steps organizations can take to start their AI journey.

Today, organizations of all types and sizes are implementing AI; according to Gartner, 70% of organizations will integrate AI in the workplace to assist and increase the productivity of their employees by 2021.

Artificial intelligence offers far more utility than simply automating processes, though. In digital marketing, AI is helping brands achieve the personalization and engagement it takes to drive revenue and loyalty in the current consumer environment.

From personalized content and product recommendations to dynamic pricing, intelligent chatbots, intent-driven search optimization and even data-informed content creation, AI is changing the game for marketers.

The benefits are measurable and real, with recent research showing that AI enables marketers to:

increase sales (52%)

increase in customer retention (51%)

and succeed at new product launches (49%)

In another study by McKinsey, 44% of companies reduced operational costs and increased business revenue by using AI in marketing.

How can you put AI to work within your own marketing organization? There is no singular path to AI success. Work through these questions to determine your level of AI-readiness, then check out five steps below to help you get started on your first AI project.

What is the current state of our data assets?

Algorithms are hungry for data, but like the food we feed our bodies the data you feed your AI tools is key. The problem is, most organizations are falling down on data governance.

A recent study showed that just 3% of organizations analyzed had Data Quality Scores considered acceptable by researchers.

What is our organization’s comfort level with the concept of AI?

If your marketing team and C-suite aren’t even talking about it yet, you may have some serious work to do in laying the groundwork for budget allocation and adoption. Your first step is advocating that decision-makers gain a basic understanding of AI and machine learning.

They don’t need an academic understanding of the internal workings of artificial intelligence, but should have a grasp of different AI techniques, models, approaches to data collections, and applications.

Artificial intelligence and machine learning: What are the opportunities for search marketers? offers a good primer on the opportunities and from there, there are plenty of free courses to work into your organization’s ongoing training.

How all-in do we want to go?

Maybe you want to streamline entire business or marketing processes. Or maybe you just want to dip your toe in the water.

Getting started in AI a lot easier than it was even a few years ago. The tools you already use may even be incorporating AI capabilities already—we’ll talk about that shortly.

What do we want our AI solutions to achieve?

Be specific. AI might be used to personalize content to customers’ needs and expectation, or to optimize aspects of the customer journey. You might use it in ad targeting or content promotion to get in front of more motivated audiences, or to create hyper-targeted campaigns that span networks and publishing platforms.

L’Oréal for example used BrightEdge (my company) AI based insights to drive 30% growth for Kiehl’s with quick answers. eBay uses AI to generate thousands of personalized email newsletter subject lines in minutes, for example.

It’s a very specific task with a clear benefit and measurable outcome that enables the marketing team to connect at a scale it would take an exceptional (and ultimately too costly) amount of human copywriting talent to achieve.

Don’t choose your AI solution first and then try to make it do what you need. Determine your desired outcomes so you can approach different tool providers with a solid idea of what you need your solution to do.

Do we have the skills and resources in-house to implement?

If you are looking for a solution to digitally transform the business, start by making sure you have the right talent in-house to help guide the solution to successful implementation.

You might need programmers with specific language skills to make it happen—Python, R, Proof, Lisp or Java are commonly used in AI applications. You’ll need managers with equal parts creative and analytical skills to encourage adoption, troubleshoot, and analyze performance, as well.

Are we adding to or replacing elements of our stack?

Will your AI solution integrate with all other elements of your stack, or might you inadvertently be creating new (time consuming) workarounds?

CMOs need to manage the performance of the stack as a whole and ensure that any new introduction to it serves a necessary purpose without taking away from any other function. If there are challenges in integration, can your choice of vendor help you find a solution?

In some cases, integration is less a concern, particularly when the output is immediately actionable and augments the human team’s performance.

In my role I have seen customers with massive gains from the use of real-time research and automation such as 2X increase in conversions and 28% improvement in ad quality score.

AI led research can help enable brand’s content teams to quickly identify the most lucrative content gaps and create content optimized to meet those exact needs.

Getting started with AI: Five tips for selecting your first project

In a recent HBR column, Coursera founder Andrew Ng recommends that brands start small and use your first AI projects to build organizational confidence in the technology. “The purpose of your one or two pilot projects is only partly to create value,” he said. “More importantly, the success of these first projects will help convince stakeholders to invest in building up your company’s AI capabilities.”

Keep that in mind as you establish your success metrics, and use these 5 tips to get you started:

See if your current vendors have AI. Maybe they don’t today, but is it on the roadmap? You may have AI features and functionalities coming to your stack via the solutions your teams are already using.

Pick a project based on low-hanging fruit. Personalization is perhaps one of the most pressing needs in marketing. How can you better connect with consumers and meet their needs for tailored content? The American Marketing Association used AI with NLP (Natural Language Processing) to personalize its email newsletter content and boosted engagement by 42% in the process.

Document use case. What steps or actions are needed to ensure your AI solution is able to achieve the goals you’ve set out for it? Make sure each member of the team understands their role and any ways they are expected to support the project.

Empower staff to work alongside and maximize the value of your AI. Ideally, your team and technology complement and augment one another’s performance; your employees should never be made to feel as though they’re being replaced or competing against tools for budget. Support your team with a robust AI training program and nurture a culture of failing fast and moving on.

Measure performance and analyze outcomes. Again, for your first project you aren’t necessarily looking for outcomes as massive as gains in continental market share, as Coca-Cola was with its Trax Retail Execution AI. Your KPIs for your first project will depend on your solution but should include multiple metrics that give you a clear view of actual performance. This might include email opens, content engagement, time saved, sales driven, etc.

Want to learn more? Read Finding intelligence to act on from big data: a five step approach and read more about some key influencers to follow here.

The post How to set your first AI project up for success appeared first on ClickZ.

source http://wikimakemoney.com/2020/08/14/how-to-set-your-first-ai-project-up-for-success/

[azveille]

The Impact Of Artificial Intelligence Over The Next Five Years

Artificial intelligence (AI) has been a huge growth enabler for many industries, due to its ability to streamline business processes, reduce operation costs and automate tedious tasks. The evolution of technologies such as cloud computing, big data, and internet of things (IoT) could enable further market growth in the AI sector, which my company predicts will be worth $190.61 billion by 2025. In its latest update, Tractica forecasted (paywall) that annual worldwide AI software revenue alone could reach $105.8 billion by 2025.

As AI continues to grow and expand its reach -- something I've written aboutpreviously -- I believe that the marketing, security, health care, and automotive industries are poised to be the top four end-user industries to experience the most significant impact during the next five years.

AI In Marketing

Today, companies are leveraging AI to enhance major marketing applications — such as copywriting, dynamic pricing, virtual assistants, consumer behavior prediction and others. It’s enabling marketers to spot programmatic trends and opportunities as they occur and focus on building more profound client relationships through personalized online content and product recommendations (like Amazon's recommendation system), as well as other targeted advertising strategies.

To remain competitive, I predict that marketers will continue to adopt AI technologies to execute more effective campaigns over the next five years. In doing so, marketers will be able to create even more personalized and compelling content that meets rising consumer demand.

Additionally, marketers will likely focus on unlocking the potential of data, which would help them with real-time decision making, understanding target customers and developing advertising campaigns. Statista projects(paywall) that eCommerce sales will continue to grow, and I predict that the eCommerce sector will continue to attract customers in the coming years, which would create demand to deliver an enhanced experience using AI.

AI In Security

The world is increasingly becoming an insecure and vulnerable place. As the average total cost of a data breach continues to climb -- IBM found that, in the United States, it reached $7.91 million in 2018 -- organizations are leveraging AI to protect their most sensitive information.

Today, AI is playing a key role in helping organizations power various applications. One Security Week writer suggested that it could be applied to identity and access management (IAM). Companies like HSBC are also using it to improve risk and compliance management for processes like anti-money-laundering investigations. Cisco announced it would use analytics to detect malware in encrypted traffic, and companies are setting their sights on AI-driven threat investigation, antivirus/antimalware applications (paywall), intrusion detection and prevention systems (IDS/IPS) to stop hackers, and others. The increasing number of mobile users (paywall), as well as the continued adoption of cloud-based services, will contribute to the growth of the AI market for security due to the increased ease of attack.

To safeguard data and strengthen their network security, I expect organizations to adopt security solutions integrated with AI technology to spot network attacks. By deploying the same, security analysts can constantly monitor, analyze and fetch critical security insights from the data and thus concentrate on reducing cyber threats and attacks in their organizations. Hence, AI also offers an attractive opportunity to leaders at security solution providers wherein they can offer next-generation AI-powered solutions to help organizations protect public as well as private infrastructure and save themselves from continuously increasing cyberattacks. For instance, various solution providers in the market are actively working toward strengthening their product portfolio by integrating AI technology into their product offerings, and I expect this trend to continue.

AI In Health Care

AI has enhanced a number of applications in health care. Take, for example, the AI system that conducts patient data and risk analysis and a system that can help detect cancers from imaging. Companies like Intel are also exploring AI applications for remote patient monitoring in clinical trials through wearable devices. A few newer applications of AI in health care can be seen in mental health treatments: One study published in Nature explored new AI capabilities that could accurately predict schizophrenia, and in 2015, Google and Johnson & Johnson reportedly teamed up to create surgical robots that use artificial intelligence. The growing demand to reduce rising costs coupled with the growing number of cross-industry partnerships I've noticed are likely driving this trend toward improvised health care services. Over the next five years, health care organizations could continue to adopt AI to improve patient outcomes.

AI-powered solutions are capable of analyzing real-time data and thereby helping support accurate decision making for doctors. Hence, to achieve the benefits offered by AI technology and deliver enhanced experiences to patients, hospitals should start using AI technology in their daily processes. Also, to tap into this opportunity, tech giants should form partnerships with hospitals to help them unlock the potential of data and effectively use electronic health care records.

AI In Automotive

AI in the automotive industry has become more prevalent over the past few years. We've seen the industry implement disruptive technologies in various products, such as voice recognition systems, as well as recently announced plans for gesture recognition systems, Volkswagen's intelligent copilot system and in-car assistants. This is a growing market where innovative companies could use AI technology in many upcoming models in premium segments. I believe AI is set to become an essential element in self-driving cars of the future. Vehicles could soon use technologies like deep learning to process a huge quantity of the data, which I believe will help to determine different types of situations on the road and react accordingly.

The growing demand for enhanced user experience, convenience and safety features across industries presents an opportunity for OEMs to develop new and innovative artificial intelligence systems, which could help attract customers. I predict that AI-based systems in the automotive sector will grow to become an essential component in vehicles in the next five years.

AI offers lucrative opportunities in the automotive sector. Solution providers in the market can work with various automotive designers and suppliers to build intelligent solutions and focus primarily on enhancing road safety and vehicle security.

[wikimakemoney]

AI applications for digital out of home advertising

30-second summary:

The use of data to contextualize campaigns to the “here and now” means messages can be aligned with consumer mindset in the moment and become useful and relevant.

Dynamic Creative joins the dots between data-driven media planning and the mindset of a consumer at a given time, in a given place, making the medium truly reactive, and much more intelligent, as well as driving efficiencies.

Advances in technology will allow us to hold a true interaction with the consumer, using deep fake technology in real time. Currently it’s a resource intensive task that requires content to be rendered ahead of time but with faster machines this can happen in real time.

AI can be used with facial recognition technology to detect how much a person likes an advert by their facial expression and creative can be tweaked and updated depending on gender and age demographics in real time.

The added benefits of 5G connectivity will only help to accelerate our ability to utilize AI across the OOH technical landscape. However, it could be a case of ‘all the gear, no idea’, so we really need the creative community to come along on this journey, with ideas, concepts and ‘moonshot’ thinking.

The growing sophistication of digital out of home (DOOH) infrastructure, the explosion of data, and the continued expansion of 5G networks means the industry is in an excellent position to continue to innovate and evolve with a focus on artificial intelligence (AI), and machine learning (ML).

Whilst I truly believe that it’s the creative idea behind an execution that brings its success, advancements in AI applications for DOOH will enable more intelligent, targeted, data-led campaigns with a multitude of possibilities for intuitive and seamless interaction.

The major applications and benefits of AI for DOOH are outlined below, with some cutting-edge examples to demonstrate their impact and memorability.  

Dynamic, data-driven, automated creative

Agile, data-driven campaigns can be triggered across the year promoting different brands or products when the conditions suit.

The use of data to contextualize campaigns to the “here and now” means messages can be aligned with consumer mindset in the moment and become useful and relevant.

McDonald’s used weather data and time of day data to run tactical messages reminding consumers ‘how long until breakfast finishes’ in the mornings, or to promote ice-cream sundaes when the sun was shining.

Coca-cola, on the other hand, pushed Smart Water on hot days when temperatures exceeded 21 degrees on the London Underground. Virgin Trains used real-time traffic data to let motorists know how much quicker their journey would have been by train.

By maximizing contextual relevance, such as time of day, weather, or traffic, the brand owner can manage the brand architecture to maximize media value. This means that AI and Automation can optimize adverts during campaigns, referring to data and updating creative accordingly.

The process referred to as Dynamic Creative Optimization, joins the dots between data driven media planning and the mindset of a consumer at a given time, in a given place.

  Predictive analytics & audience targeting

One of the primary benefits of AI in DOOH is the unlocking of predictive analytics to allow us to make better decisions on-the-fly.

Advancements in real-time audience targeting allow huge amounts of data to be crunched and processed to inform the creative process and help optimize both the media and the message whilst the campaign is running.

Displays can be informed by and interact with other mobile devices, applications, cameras, and wearables to gather and process data and deliver more useful and targeted experiences.

Dynamic Creative joins the dots between data-driven media planning and the mindset of a consumer at a given time, in a given place, making the medium truly reactive, and much more intelligent, as well as driving efficiencies.

With a high proportion of McDonald’s sales driven by spontaneous visits and a short path to purchase, maintaining top of mind awareness and nudging people into purchase is key.

By using Ada, Talon’s data management platform, McDonald’s were able to identify audience segments based on people’s real and recent behaviors, predicting buying patterns and in turn optimize the OOH plan.

Instead of broad demographic buying McDonald’s used data intelligence to target those people who weren’t considering McDonald’s for a specific occasion, for example a morning coffee, to push a more contextual creative message to demonstrate how McDonald’s could satisfy that particular need-state.

Real-time interactive & AR experiences

Interactive experiences will be much more unique and tailored to each user by sparking conversations. Imagine an augmented reality campaign that could reflect the current weather conditions.

Or perhaps a virtual brand ambassador, such as Gary Linekar for Walkers, powered by AI to engage and answer questions about their products.

Advances in technology will allow us to hold a true interaction with the consumer, using deep fake technology in real time. Currently it’s a resource intensive task that requires content to be rendered ahead of time but with faster machines this can happen in real time.

High impact, standalone executions that create a real buzz amongst users are a great way to create longer lasting memories and drive brand affinity.

No wonder then, that the genuinely immersive experiences offered by AR technologies are gaining momentum across the DOOH landscape.

AR is at the heart of some of our best interactive campaigns. Whether it’s a dance-off with Mickey Mouse in Times Square, or a live portal between London and LA, we can’t wait to see these interactions continue and evolve.

Facial recognition

AI has been assisting dynamic digital OOH campaigns in a variety of ways for a few years now.

It can be used with facial recognition technology to detect how much a person likes an advert by their facial expression and creative can be tweaked and updated depending on gender and age demographics in real time.

There are many examples where this has been employed with various levels of success and acceptance.

There have been some stellar examples of this technology in action including a vending machine for Coca-Cola that dispensed drinks when the consumer smiled or a Sony Pictures AR promotion for The Emoji Movie which tracked the faces of passers-by and superimposed different emoji characters onto their heads, according to the participant’s gender and mood.



Vehicle recognition

Other applications include the use of AI in roadside DOOH campaigns to facilitate vehicle recognition.

Since the DVLA do not allow their number plate database information to be used for advertising purposes, it’s been necessary to use machine learning to recognize the model and color of cars passing by billboards, in order to target that specific driver.

Creative can then be tailored to each driver, whether that is serving adverts for a new model of the same car or promoting new products that are relevant to that particular driver demographic, the possibilities are endless.

Post-match sports analysis

Another very popular AI usage trend particularly in America, is AI generated post-match analysis pieces for various sports. It’s only a matter of time before you’ll be seeing automatically generated copy lines appearing on the adverts that you see, without you even realizing it!

The future

The future uses for AI and ML are proliferating across all industries and markets. We are just at the tip of the iceberg in terms of AI’s potential applications in OOH, and we expect to see some incredible leaps in the coming 6-12 months.

Our ability to accumulate, calculate, interrogate, dissect, analyse and disseminate, large amounts of data on the fly is increasing, whether that be for a data driven dynamic campaign or for an interactive campaign where applications learn behaviors to improve the user journey.

The added benefits of 5G connectivity will only help to accelerate our ability to utilize AI across the OOH technical landscape. However, it could be a case of ‘all the gear, no idea’, so we really need the creative community to come along on this journey, with ideas, concepts and ‘moonshot’ thinking.

As an industry we have a responsibility to educate peers in the ideation world, showcasing the potential for this technology to creative directors, copywriters, art directors, strategists as well as clients in marketing departments.

Dan Dawson is the Chief Creative Officer at Grand Visual. As one of the founders of Grand Visual in 2005, Dan has designed, developed and directed thousands of Out of Home projects that have been seen by hundreds of millions of people around the world. Dan has delivered award winning interactive and data-driven digital Out of Home concepts for brands such as Google, Disney, Pepsi and McDonald’s.

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source http://wikimakemoney.com/2020/08/11/ai-applications-for-digital-out-of-home-advertising/