Visualise Your Supply & Demand

tamme’s analytics platform is built specifically for double-sided marketplaces. Not only is tamme great at being able to visualise supply and demand down to a postcode level, but it also understands the relationships and actions between entities. For example, ‘Ben’ took a ‘Ride’ with ‘Ian’, or ‘Jennifer’ ‘Bought’ pot plants from ‘Pottery Barn’. Making it far easier to understand and interpret user actions on the marketplace.

It then uses this live data stream, along with your advertising spends to calculate your marketplace's unit economics. All of tamme's decisions are based on your marketplace's unit economics. All decisions that tamme makes and all results that tamme measures, are trained and benchmarked on their impact on these metrics.

Unit Economics At The Core

tamme rotates and A/B tests the different ad templates that you’ve uploaded in order to try and determine the most effective version. It also uses the results from previous conversions to start to predict which templates are most likely to convert a user based on the predictive model that’s been built up over time.


Understanding Your Super Users

tamme rotates and A/B tests the different ad templates that you’ve uploaded in order to try and determine the most effective version. It also uses the results from previous conversions to start to predict which templates are most likely to convert a user based on the predictive model that’s been built up over time.

This allows it to pick adverts at a user by user level instead of a one-size-fits-all approach.
 
After you upload or create an ad template tamme begins to analyse the different features, display options, and dynamic content fields. It then starts to predict and test different variations to build out a predictive model that can determine which features, wording, and images are likely to get a user to move to the next stage in the funnel.