SQUID’s approach to the Lead Attribution Process:
- Combining datastreams from GA4, Meta analytics, LinkedIn analytics, and SEMRush
- Markov Attribution algorithm for probability assignment
- Self-learning model provides more accuracy as it receives more data
With our unique approach to adding value to lead tracking, SQUID is able to provide valuable and accurate data than systems like Google Analytics that simply report on data without analysis of the true value of each datapoint.
ICN software developers have created a new self-learning algorithm based on principles of the Markov Attribution Method that runs big data through its systems to pinpoint which data points are related to the end point of lead generation with greater probability than others. This allows for more detailed and useful data reporting that displays the success probability of each marketing effort, post, and email, helping you budget and plan future marketing activity.
