windsor-ai-blog

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Data driven attribution for affiliate ROI, connexity, awin, shopbots et.al.

How do you measure ROI or ROAS for affiliate programs like connexity, shopbots and AWIN? Many of our clients use the data driven attribution in windsor.ai to measure the performance of affiliate and price-comparison marketing channels. The multitouch attribution modelling gives you the conversions or revenue the affiliate programs helped bring.

This is not yet actionable in itself though. The attributed performance figures have to be connected to cost data to be comparable. Only when you know how much was paid for those conversions or revenue it can be compared to the other channels and assessed whether its a good investment or not.

We generally see very good performance of most of the affiliate programs. Especially its working well for many e-commerce clients when compared with the rising CPC prices on google.

Here are some of the affiliate programs many clients use:

https://www.awin.com/

https://connexity.com/

https://global.rakuten.com/corp/

https://affiliate-program.amazon.com/

Increasing the volume on the very profitable affiliate channels is sometimes not so straightforward though. Sometimes the only way to do it is via increasing the product catalog instead of increasing the bids and budgets.

Then there is the other challenge of getting the cost data. With connexity we have automatic cost import so for any advertiser using connexity they can automatically get the ROAS for connexity with data driven attribution.

We are working with many of the other affiliate programs and price comparison sites to set up automatic data transfer.

If there are some price comparison or affiliate channels you would like to see automatic data import from just let us know. AWIN is probably the one being asked the most currently. Also the price comparison sites in Germany like billiger.de and also comparis.ch in Switzerland are being requested quite a lot.

Amazon ads especially in e-commerce is growing fast but e-commerce companies are a bit wary about amazon growing so big and powerful.

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Every business owner understands that to be productive, the company has to operate efficiently and effectively. This indicates that your team should monitor performance, evaluation and troubleshoot any familiar problems on a regular basis. This is where the Data Integration shows up. Here are some suggestions that will help you to understand the importance of data integration in your business operation: https://bit.ly/2OWOyHF

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If you’re looking for efficient data integration service for your business, Windsor.ai data integration services are the ones for you.

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Windsor.ai is an online platform offering data integration and attribution modeling services to digital marketers. Visit: https://www.windsor.ai/

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Do you think some traffic sources are not getting the rewards they ought to have? Do you want to know how much credit each of your marketing channels actually gets? If yes, get help from various online attribution marketing models to know the ROI of your investment. You’re just a click away!

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Every business owner knows that in order to be successful, each operation should be done efficiently and effectively. It means there is need to keep a constant and close eye on performance, analysis, and issues occurring on a regular basis. At this point, data integration comes into play. In data integration, you combine information from various sources into something valuable. When you integrate data from different sources, it will allow you to see the entire picture of operations without any compromise.

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With Windsor.ai attribution solutions that is supported by a team of experienced experts. If you wish to enhance the ROI on your marketing investments, switch to Windsor’s digital attribution modelling solutions.

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Get data integration solutions on various online platforms

Data integration combines data collected from different systems and makes it more important for your business. It aids people to work better together and make more efforts for clients. There is no common approach available for data integration. But, whatever solutions are there they normally entail a few common things, such as a source data, a server, and clients to access data from the server. There are numerous of online platforms offering users to data integration tools to integrate data for its optimal use.

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Windsor is one of the leading companies in advertising and data integration. With its highly advanced data integration techniques and data attribution models, Windsor has made a unique place in the marketing world. Visit: https://www.windsor.ai/

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With Windsor, now put your marketing efforts in the right direction and optimize your marketing efforts based on valuing each and every touch point. You can find more info here: https://bit.ly/2IjQrba

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Windsor is based in Zurich and now in Singapore. It understands the power of data integration. With Calculative data analysis and data integration, it helps businesses to take useful decisions and increase its size and scale. Windsor ensures that with a synchronized merge of offline and online marketing strategies integration, it can help the businesses reach a larger pool of target audience and earn more revenue.  For more info visit here: https://www.windsor.ai/

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Windsor, a cloud age data integration and advertising company, lets users integrate big data into a comprehensible warehouse where it can be used by professionals spread across the organization.

Find more info here: https://bit.ly/2DrVY0m

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Attribution Modeling Vs Marketing Mix Modeling - Which One Is Right For You?

Today, the world has turned more analytics-driven, and assigning credits to marketing channels is what every digital marketing firm is doing. So much that around 30% of the whole marketing budget is kept solely for analytics. Everyone wants to know whether their marketing efforts are generating any value or not, and this is where digital attribution models act as a helping hand.

In fact, with the booming digital marketing industry, developing technology, and increasing competition, whether what you are doing is working is not the only answer you need. But, when is it working, where is it working, how well is it working, and with whom is it working are important things to know as well.

attribution modeling

But this can only be done if you choose the right measurement approach, and where most companies get stuck is making a choice between Attribution modeling and Marketing Mix Modeling. To make the right decision marketers need to understand the difference between the two, and fit them in their needs frame.

Let’s start by understanding the difference between the two on the basis of various parameters. The following parameters will help you in making your mind up for which one to opt for your organization:

Media Type: Marketing mix model works primarily offline and is more suitable for traditional media, such as radio, print, and television. Attribution modeling, on the other hand, is primarily online based and focuses on social media and digital marketing tools such as AdSense, AdWords, etc. With world interest changing to digital platforms, Marketing mix model fails here due to its restrictions to media types.

Approach:  Marketing mix model is based on econometric models and has a macro-level or top-down approach. Whereas attribution modeling is based on data-science models and has a micro-level or bottom-up approach.  Marketing mix model measures the overall value of the marketing tasks by analyzing the historical data. Attribution model, on the other hand, constructs and measure the path to conversion from various channels to individual creative.

Time Period: Marketing mix model is performed just once or twice a year as it is based on aggregated historical data. Attribution model needs more real-time and accounts specific data and hence the results are updated daily. For a better and critical understanding of marketing function’s performance, attribute modeling is much recommended.

Data: Integration of sales and marketing data based on external factors such as marketing cost and the benchmark is done in Marketing mix modeling. Seasonality, recent news events, market movements could act as variables in this case. In Attribution modeling, sales and granular marketing data is considered base to understand how each media asset is performing. It integrates with demand-side platforms and data management platforms using advanced algorithms.

Strengths: The biggest strength of the marketing mix model is that it has the ability to evaluate offline variables and is also a competent tool for “push” marketing strategies. It also acts as a good tool in the quantification of brand ads. Attribution modeling‘s key strength lies in “pull” marketing and is a much more quick tool with which you can update your campaigns in a go. The granular view and daily based analysis allow the marketer to allocate budget in proportion to the revenue being generated by each channel.

Now you know how marketing mix modeling can and attribution modeling can add value to your organization. Both the approaches could be of great advantage for proficient micro and macro optimization. They can improve an organization’s holistic marketing strategy by providing insights into customer behavior and aiding in the allocation of the marketing budget.

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Get technical insights for better business decisions with Windsor_ai

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These days’ marketers are doing more and more across the different channels. The digital marketing experts and data analysts, attribute credit to the specific parts of the journey they believe exactly got the conversion to a business. Even if you are not a data analyst you can make use of Google Analytics as it collects massive amounts of data and filters it into handy reports. This way being a business owner you can gain insight into the behavior of the visitors to your website. To get the most from your marketing mix, it is vital that you have a deep understanding of your attribution modeling tools. There are various online platforms where you can find online attribution models suitable for your business.

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Marketing Mix Modelling and Attribution Modelling are used to determine the effects of media and marketing on the business. These tools also recommend solutions and ways for the improvement of marketing strategies of business.

Here are some differences between marketing mix modelling and attribution modelling:

https://bit.ly/2xi4oSl

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Windsor helps you get the best attribution insights. It also helps you to put your marketing efforts in a direction where the outcomes are the most profitable. It helps in optimizing marketing decision for your business in order to get most valuable touch points. Visit: https://www.windsor.ai/