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Custom CRM: Boosting productivity & simplifies small business.

As a small business owner, your constant quest is to enhance productivity and streamline business operations. One powerful solution that can drive these goals is a personalized CRM (Customer Relationship Management) system. By adopting a custom CRM, you can optimize your business processes, elevate customer service, and save both time and money.

The advantages of a custom CRM for your small business are numerous:

Centralized Data Management: A custom CRM consolidates all customer data into a user-friendly platform. This enables you to easily track customer purchase history, contact information, and interactions with your business. Armed with this knowledge, you can tailor your communications and offer targeted promotions to your customers.

Automated Task Management: With a custom CRM, tasks like sending follow-up emails, scheduling appointments, and generating reports can be automated. This liberates your time and allows you to focus on crucial tasks that require human attention.

Improved Collaboration: Real-time updates and remote access to customer data through a custom CRM promote seamless collaboration among team members. This fosters efficient teamwork, ultimately boosting productivity.

Enhanced Customer Service: Personalized and responsive customer service becomes possible with a custom CRM. By accessing customer histories and preferences, you can anticipate their needs and provide faster solutions to their queries.

At Pixel, we comprehend the unique requirements of small businesses. We specialize in developing custom CRM solutions tailored precisely to your business goals and processes. Our solutions are user-friendly, cost-effective, and scalable, making them the perfect fit for small businesses. If you seek to streamline your operations and increase productivity, consider a custom CRM solution. Contact us today to discover how we can elevate your business to new heights.

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Is block chain disrupting e-commerce

Blockchain is a revolutionary distributed ledger technology with the potential to transform various industries, including e-commerce. By offering a secure and transparent method to monitor transactions, blockchain can combat fraud, enhance efficiency, and foster trust in e-commerce transactions.

The introduction of blockchain in e-commerce has the potential to bring about significant changes in the following ways:

Fraud Reduction:

Blockchain provides a secure and transparent system for tracking transactions, effectively reducing fraud in e-commerce. For instance, it can be employed to trace ownership of digital assets like NFTs, preventing fraud and counterfeit activities.

Improved Efficiency:

Streamlining the checkout process and reducing the need for intermediaries, blockchain enhances the efficiency of e-commerce. A decentralized marketplace can be created using blockchain, enabling direct transactions between buyers and sellers, eliminating the reliance on third-party marketplaces.

Increased Trust:

Blockchain instills trust in e-commerce by maintaining a tamper-proof and transparent record of transactions. This gives buyers and sellers the confidence to engage in secure transactions, knowing that the transaction details cannot be altered.

While blockchain is still in its early stages, its potential to disrupt the e-commerce industry is significant. By providing a secure, transparent, and efficient means of tracking transactions, blockchain stands to reduce fraud, enhance efficiency, and foster trust in e-commerce.

Potential Applications of Blockchain in E-commerce:

Several potential applications of blockchain technology in e-commerce exist, including:

Supply Chain Management:

Blockchain can track products throughout the supply chain, ensuring authenticity and preventing tampering.

Payment Processing:

Using blockchain for payment processing can improve security and transparency, reducing fraud and speeding up transactions.

Customer Loyalty Programs:

Blockchain can create more secure and transparent customer loyalty programs, promoting increased customer engagement and loyalty.

Examples of Blockchain Adoption in E-commerce:

Several platforms are already utilizing blockchain in e-commerce:

VeChain:

VeChain is a blockchain-based supply chain management platform used by major brands like Walmart and BMW. It ensures product authenticity and quality through blockchain tracking.

Provenance:

Provenance allows consumers to trace the history of products they buy by recording production, transportation, and sale details using blockchain.

Everledger:

Everledger uses blockchain to track diamond ownership, preventing fraud and counterfeiting by recording provenance, grading, and insurance information.

E-commerce Transformation with Blockchain:

Blockchain has the potential to revolutionize the e-commerce industry by providing a secure, transparent, and efficient transaction tracking system. As technology advances, we can expect even more innovative applications of blockchain in e-commerce, further improving the overall shopping experience.

Benefits of Blockchain for E-commerce:

The advantages of blockchain technology for e-commerce include:

Security:

With its tamper-proof nature, blockchain ensures high-level security for e-commerce transactions.

Transparency:

Blockchain's transparent record of transactions builds trust between buyers and sellers.

Efficiency:

Blockchain streamlines e-commerce transactions, leading to faster and more cost-effective processes.

Decentralization:

The decentralized nature of blockchain reduces the risk of fraud and censorship, benefiting businesses with lower transaction fees and enhanced security.

Decentralization in E-commerce:

Decentralization is a significant advantage of blockchain technology for e-commerce, as it eliminates the need for a central authority to control transactions. This enhances security, reduces fraud risks, and enables businesses to save on transaction fees by bypassing third-party intermediaries.

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BIG DATA-The Big Question?

Examining huge data sets with a variety of data kinds, or "big data," is the process of looking for hidden patterns, unidentified relationships, market trends, client preferences, and other valuable business information. The results of the analysis may result in greater customer service, more operational effectiveness, more effective marketing, new revenue prospects, and other business advantages.

By enabling data scientists, predictive modellers, and other analytics experts to analyse large volumes of transaction data as well as other types of data that may be underutilised by traditional business intelligence (BI) programmes, big data analytics' main objective is to assist businesses in making more informed business decisions. This could include web server logs and clickstream data, social media posts and activity reports, text from customer emails and survey responses, call detail records from mobile phones, and machine data gathered by Internet of Things-connected sensors.

However, consulting companies like Gartner Inc. and Forrester Research Inc. also view transactions and other structured data as viable components of big data analytics applications. Some people only connect big data with that type of semi-structured and unstructured data. The software tools that are frequently used in advanced analytics disciplines including predictive analytics, data mining, text analytics, and statistical analysis can be utilised to examine big data.

Tools for data visualisation and mainstream BI software can both contribute to the analytical process. However, traditional data warehouses built on relational databases might not be able to accommodate semi-structured and unstructured data efficiently. Furthermore, data warehouses might not be able to meet the processing requirements posed by collections of large data that must be updated regularly, if not continuously, such as real-time data on the performance of oil and gas pipelines or mobile applications.

In order to gather, process, and analyse large data, many businesses have resorted to a more recent class of technologies, including Hadoop and associated tools like YARN, MapReduce, Spark, Hive, and Pig as well as NoSQL databases. A framework of open-source software built around these technologies enables the analysis of sizable and varied data volumes across clustered platforms.

The Challenges of Big Data Analytics:

The majority of businesses find big data analysis difficult. Consider the enormous amount of data that is gathered throughout the entire organisation in a variety of formats (both structured and unstructured data), as well as the numerous ways that different types of data can be combined, contrasted, and analysed to discover trends and other useful business information.

To access all of the data that an organisation holds in various locations, often in several systems, the first task is to break down data silos. Making platforms that can import unstructured data as easily as structured data is a second big data challenge. The size of this enormous amount of data makes it challenging to process it using conventional database and software techniques. The majority of businesses find big data analysis difficult. Consider the enormous amount of data that is gathered across the entire organisation in a variety of formats (both structured and unstructured data), as well as the numerous ways that different types of data can be combined, contrasted, and analysed to discover trends and other useful business information.

To access all of the data that an organisation holds in various locations, often in several systems, the first task is to break down data silos. Making platforms that can import unstructured data as easily as structured data is a second big data challenge. The size of this enormous amount of data makes it challenging to process it using conventional database and software techniques. Before data is imported into a data warehouse for analysis, Hadoop clusters and NoSQL systems are sometimes used as landing pads and staging places for data. Often, the data is summarised in a way that is more suited to relational structures.

However, big data suppliers are increasingly promoting the idea of a Hadoop data lake that acts as the main storage facility for incoming streams of raw data into an enterprise. Subsets of the data in these structures can then be filtered for analysis in data warehouses and analytical databases, or they can be studied directly in Hadoop utilising batch query tools, stream processing programmes, and SQL on Hadoop technologies that execute interactive, ad hoc SQL queries. Lack of internal analytics expertise and the high cost of acquiring seasoned analytics personnel are two potential stumbling blocks that might trip up firms working on big data analytics initiatives.

The normal volume and variety of information involved can also lead to problems with data management, such as problems with data consistency and quality. Although many manufacturers now offer software connectors between Hadoop and relational databases as well as other data integration tools with big data capabilities, combining Hadoop systems and data warehouses can still be difficult.

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Connect with a leading digital marketing company to implement robust digital marketing strategies to help your brand to to grow.

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The necessity to enhance strategy and approach toward success has arisen as a result of the regular changes in the corporate environment and growing technological research.

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Top 7 reasons why your Affiliate Marketing is failing?

What is Affiliate Marketing?

Affiliate marketing, which involves recommending an online product to someone and getting paid when they buy it as a result of your suggestion, is one of the earliest forms of digital marketing.

When PC Flowers & Gifts founder William J. Topin started his own affiliate marketing campaign in 1996, Amazon started to widely promote the concept of affiliate marketing. Since then, affiliate marketing has expanded and evolved on its own. Later, the terms cost per action (CPA), cost per impression (CPI), cost per click (CPC), and pay per sale emerged.

Much later, there were programmes like Amazon Associates, Clickbank, and Google AdSense. Performance-based marketing strategy entered the marketing arena as affiliate marketers started using big data analytics to maximise their marketing efforts.

How does Affiliate Marketing work?

There are only 4 easy stages in affiliate marketing:

Sign up for an affiliate programme Select a product for promotion. Share the website's link on social media, blogs, YouTube, Facebook, or in any other way. When a customer purchases something, you get paid as an affiliate.

Why do enterprises need Affiliate Marketing?

Affiliate marketing makes it simple for internet marketers and advertisers to communicate and transact business. Affiliate networks are internet marketplaces that make a variety of publications easily accessible to advertisers and potential affiliates.

According to a Forrester Group survey, affiliate marketing is used by about 83% of advertisers today to bargain with publishers. The study also demonstrates how highly sought-after affiliate connections are by publishers through networks with a global perspective.

To stand out from the competition and sweeten the bargain for publishers, affiliate networks are responding by attempting to broker exclusive deals with major brands.

Why do people fail at Affiliate Marketing?

Affiliate marketing is swamped with items and businesses, and has poor product understanding. When promoting products, one needs to be careful. A poor product is the primary cause of affiliate marketing failure most of the time. Marketers frequently have doubts about the products they are promoting.

The entire point of affiliate marketing is defeated if it does not provide something worthwhile. Because of the commission, people frequently buy into a particular product. The product, however, turns out to be completely worthless. After purchasing it, many discovered what it was. Online reputation eventually fades.

Marketers should advocate for their products in a trustworthy manner. They can succeed much more than those who advertise goods with which they are not affiliated by doing this.

Affiliate programmes or fake training Scammers abound in the internet referral industry, promising to make newcomers rich quickly and ensure their success. The majority of these frauds masquerade as fake affiliate programs, training materials for online marketing, or both.

Marketing professionals choose the wrong training program, which causes them to become entangled in the never-ending upsell devices linked to scams.

The aggressive professional use of manipulative neuromarketing routinely subjugates marketers. We are influenced in the scammer's preferred manner by phrases like "buy this product and your one-million-dollar business is guaranteed."

There are also affiliate programmes that pass for MLM (Multi-Level Marketing) or pyramid schemes and want to charge you to promote their products.

Incapacity to select the appropriate platform

People's inability to select the appropriate platform is among the most prevalent causes of affiliate marketing failure. Most of the time, marketers are overflowing with ideas and construct four to five websites in a matter of weeks. Then, while allotting minimal time for each website, they begin working on them all at once.

Eventually, none of the websites end up providing them with the anticipated ROI. They don't have a lot of visitors, and their websites lack original content. A better plan would be to concentrate your efforts on one or two websites, with 2-3 new articles posted each week to attract readers. You'll undoubtedly achieve success with after six months.

Unable to establish a rapport with referrals

Strong relationships in affiliate marketing are based on your interactions with your audience and the relevant content you produce. Unfortunately, most marketers fail to take this into account and instead assign customer care support to those who request it.

They frequently fail to connect with their audience, which forces them to constantly worry about luring hit-and-run customers.

Marketers need to be more approachable and respond to comments and inquiries posted on social media. If you and your website visitors have a solid working relationship, they will not only click on your link to make a purchase but also trust you and return frequently to learn more from you before making their next purchase.

This is the idea behind converting one-time customers into happy repeat customers, and it's where many marketers fall short of making a profit.

Excessive competition

For the majority of marketers, choosing the area of expertise in which to establish their affiliate business is a significant difficulty. The idea of focusing their affiliate company on a sizable market primarily tempts them.

However, in practise, broad, enormous markets have two drawbacks: they are fiercely competitive, and they make it difficult to identify specific target groups. Instead, affiliate marketing should concentrate on a well-targeted audience made up of website visitors who have a keen interest in the articles and product recommendations you make on your blog.

Instead, marketers ought to be very specific about your niche product. Make sure your content is a perfect match for any extremely specific search terms you create.

Unfounded expectations

The majority of marketers are ignorant of the fact that creating a strong foundation for an affiliate business takes time. Lack of patience is the main factor contributing to the failure of affiliate marketing. They must be aware that building the confidence of your audience and the search engines takes time. You must give it enough time to develop into a full-time income through affiliate marketing.

Participating in spam One of the main causes of affiliate marketing failure is spam. When you spam your link, it hurts your reputation and increases the likelihood that affiliate programmes will ban you. Spam can enter your inbox or come from the careless use of keywords in your articles.

Final observations

As seen by our observations, the majority of people struggle to implement affiliate marketing successfully. In this article, we've covered some of the most frequent causes of affiliate marketing failure. The world of affiliate marketing is as simple as anything else. All you have to do is comprehend the procedure, be prepared to act, identify a person to turn to for assistance when necessary, be patient, and be willing to put in the necessary effort.

Avoid enticing scams, learn the skills from a reliable tutor, and steadily apply your talents for success. Have you yet to engage in affiliate marketing? Please share your knowledge of this industry and your experiences below. Additionally, if you have any questions, kindly leave a message in the comment section.

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Viral Marketing: Pros and Cons

Tim Draper, a graduate of the Harvard Business School, created the phrase "viral marketing" to refer to emails that helped with product advertising. Viral marketing is now recognised as a well-liked marketing strategy that makes use of social media and word-of-mouth advertising to raise brand recognition of its goods and services. Through carefully planned viral processes, the goal is to boost product sales. The plan may also include video clips, interactive forums, advertising games, newsletters, e-books, and graphics with clearly organised written messaging, depending on the volume of sales. The majority of the time, viral marketing is utilised to publicise events or new product releases.

Widespread social networking contributes to a product or service's credibility standing in the community for a longer time. Viral marketing may also be described as a type of covert campaign that use under-the-radar promotion to create the illusion that the buzz surrounding a product or service genuinely results from actual use of it. Viral marketing has a variety of benefits and drawbacks. Before investing your time and money in it, keep in mind the important points we have covered here. Pros Businesses may stay afloat in the cutthroat business world with the help of a strategy called viral marketing that is not only simple to implement inside a clearly defined customer society, but also empowers the detached onlooker with training, advice, and ideas.

One of the main benefits of viral marketing is this. Viral marketing makes effective use of the Internet to spread business ideas to a larger user base. We are all aware of how effectively Internet affiliate marketing, ezines, and discussion boards help business owners advertise their brands internationally. Peer-to-peer recommendations of the good or service spread the word-of-mouth idea. Through viral marketing, a company can also capitalise on local support for the venture to make money.

Marketing efforts and affiliations with obscure organisations and people may give rise to opportunities for competitors to view the promotion. The effectiveness of marketing depends on the spread of enthusiasm about the advantages of the product being offered. The targeted strain could be diminished by the existence of a rival within the formed link. Exposure to the Internet is not without spam threats, unwanted marketing mix, and brand dilution in order to promote entrepreneurship and produce additional money from a global clientele.

The danger of aggressive selling to gain more commissions includes the loss of a few potential customers. An invitation is created by natural viral marketing. Artificially created viral marketing is frequently mistaken for spam. This kind of product recommendation may not be to everyone's taste. Others might choose to decline. Viral marketing can produce high levels of product credibility for a reasonable price. By using targeted Internet marketing to make a certain good or service available beyond geographic borders, it establishes a marketing ploy and demonstrates great effectiveness in creating the possibility for ongoing promotions and commissions. I think the foregoing discussion of the advantages and disadvantages of viral marketing has made it clear to you that, when done properly, it can provide you with a beneficial, affordable answer.