Incrementality Measurement Platform for Education

Measure the impact of your online and offline advertising spend on the acquisition of new Students leveraging MMM & Incrementality testing

Measure the impact of offline and online Media investments

Universities and Education companies face huge complexities in their marketing mix and assessing the true incremental CAC that offline, online and partners investments is crucial to plan your advertising money effectively.

Cassandra allows your Education company to measure the incremental CAC of all advertising channels regardless if they are upper funnel, bottom funnel or even offline.

Cassandra allows you to simulate different investment scenarios predicting how many new students will be acquired before you implement your investment strategy.

Plan your Investments predicting their impact

Invite all your agencies and advertising partners to align on the investment strategy and continue growing, reducing your CAC.

HOW IT WORKS

1 software.
4 simple steps.
A lot of magic.

Upload Marketing Data

Begin your journey by uploading your marketing data with a CSV or by connecting your sources with connectors.

Cassandra analyzes Digital Advertising Campaigns, Offline Marketing Campaigns, Organic Activities (like email and social media), and Other Events (like Discounts, Price or Website changes, and store openings).

PS: If you don't have data right now, you can use our demo dataset to test Cassandra!

Analyze your marketing mix effectiveness

Build your MMM and analyze the:

  • Real incremental ROI of each channel
  • revenue attributed to each variable
  • impact of seasonality diminishing returns of each channel
  • Impact over time of advertising campaigns

The MMM it's then refreshed at a monthly basis improving its accuracy as it sees new data.

Measure the Incremental Impact of new Marketing Campaigns with Incrementality Testing

Validate your Measurement insights by running Real life Geo-Incrementality tests that will enable you to inference causality.

Then use the results of your experiments to calibrate your MMM at each refresh.