The digital world is transforming by the minute and seconds, with consumers using an open digital forum to discuss your company, people, brands, products and services that may have a cumulative impact on your company's reputation. Using Digital Media Analytics, you can observe and address customer concerns. Moreover, you can utilize the customer generated content as an input into your product improvement and the product development initiatives.
At Brainswig, we are well experienced with Digital Media and offer cutting edge analytics to mine and use data from your digital media source to optimize your digital media spend, customize messaging, manage brand reputation, upgrade customer experience and drive your product improvement and development.



Digital Media Analytics

  • Clickstream Analysis
  • Cookie Analytics
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  • Digital Media Mix Modelling
  • Forecasting
  • Social Media Analytics


  • Clickstream Analysis
    • Are you really investing the right amount in the right media? By using our proprietary clickstream and attribution model, you can not only see assist data, but also can quantify the value of these assists based on the assist position in the stream and the timing of such assists.

    • Gain an in-depth understanding of the role of each media in conversion funnel.

    • Combine conversion and assist data with the spend information to optimize your media spend

    • Identify the specific media sources and URLs that drive significant volume - use the learning to duplicate tactics to increase the conversions

    • Get insights into the "time to convert" and "conversion triggers" to lead consumers through the conversion funnel

    • Evaluate your website’s efficiency and user interface by examining the individual clickstreams and refining your website content accordingly.




  • Cookie Analytics


    • Cookie data provides you with the significant information on user behavior that can be utilized to design and implement marketing and media programs leading to an increase in leads and decrease in Cost Per Lead. For example, you can identify the zip codes from where bulk of your in-market shoppers can come from. You can utilize this data to generate and implement special offers to specific zip codes.


    • Cookie analytics are an excellent source for serving up personalized content that is geared towards that specific user’s preferences.


    • Gain a deeper understanding of the website’s traffic source, details on timeouts, session times and more.


    • Drive clickstream analysis using cookie data




  • Digital Media Mix Modelling


    • We forecast the spend and returns by media using media specific parameters and limitations. Then, we combine these outputs with market data and cookie data to recommend an optimal media mix spend model for digital media. The model incorporates machine language algorithms to continuously improve the model and recommendations.


    • Use analytics to develop a holistic, commercially focused approach to digital media mix modeling to improve your marketing effectiveness and ROI.


    • Assess past campaigns, optimize campaigns in-flight, and plan better campaigns for the future.


    • Your cross-channel digital marketing strategy may span over a wide range of online platforms, you can use digital attribution to gain the insights on the most effective online touch points.




  • Forecasting


    • We use multivariate regressions techniques to forecast the future spend and leads/sales based on historical data. We identify the points of inflection to recommend optimal spend based on the client goals.



    • Integrate the data intelligence with your leads and sales history to display multiple forecasts in intuitive formats and visuals.


    • Compare and contrast reports with an accurate data to reach a consensus with confidence in the data.


    • Use analytics to identify issues like missing or outdated data and fill the space to improve accuracy across the board.
  • Social Media Analytics


    • We use multivariate regressions techniques to forecast the future spend and leads/sales based on the historical data. Our team identify the points of inflection to recommend the optimal spend based on client goals.


    • Integrate the data intelligence with your leads and sales history to display multiple forecasts in intuitive formats and visuals.


    • Compare and contrast reports with the accurate data to reach a consensus with trust in the data.


    • Use analytics to spot the issues like missing or outdated data and fill the gaps to improve the accuracy across the board.