Marketing Mix Modeling for
Consumer Electronics
The consumer Electronics industry has long been known for its highly competitive scene. We support you in navigating the challenges encountered in this market using our Granular modeling expertise specifically for CPG and Experience with consumer electronics industry & understanding of business dynamics.
The result is a clear understanding of the impact of competition and time-sensitive measurements that allow you to adjust your launches, promotions and campaigns on the go.
%
Increase in ROI*
%
Increase in Sales*
*Key Results for our Consumer Electronics Companies
Chat with our Team of Consumer Electronics Experts
Frequently Asked Questions
I have very complex data from different sources, what can I do to make data preparation easy for MMM?
We have a dedicated software named MassFeeds for that purpose, we can also help you with the fragmentation challenge by integrating with your channels and importing data directly through snowflake.
Multi-touch Attribution is the main method I use for measurement, what happens now that cookies are disappearing?
Nothing would be wasted, now that cookies are dying, we can help you build on your attribution results to have a unified measurement. Using the triangulation method combining MMM, MTA and Incremental experiments, you would get a result that’s closest to the ground truth.
I want to build my own Marketing Mix Modeling but don’t want to do it using a code-based solution!
MassTer is exactly that! No code-software where MMM is at its optimal efficiency thanks to the multiple automations within.
How accurate are the optimized budget allocation plans provided by MASS Analytics?
This element is highly dependent on execution Quality: while the execution of the optimization plan falls out of our scope, we collaborate closely to provide guidance and support to design the execution’s plan. Diligent execution leads to significant alignment between predicted and actual outcomes, further boosting the accuracy rate. Based on our experience, when the optimization plan is executed diligently and robust data is used for modeling, we confidently anticipate an accuracy rate range of 80-90%.
