Onboarding

1.0 2.0 3.0

Sharing

Providing acces to campaigns, historical user and revenue data

Total days:

1.1

Share Ad network access with Churney

Your marketing team should give Churney required permissions for your ad networks and optionally MMP.

Total days:

Your team:

Marketing

1.2

Connect your data to Churney

After going through our article about 'What to be aware of before onboarding Churney', your data engineer will prepare the data and connect it to Churney.

Total days:

Your team:

Data

1.3

Tag your data for Churney’s model

Together, using our data tagger tool, your data engineer will help us map and tag critical events in your data so we can build your prediction model.

Total days:

Your team:

Modeling

Providing acces to campaigns, historical user and revenue data

Total days:

2.1

Sit tight while we build your model

Our data science team will train your prediction model on the entirety of your data and start producing revenue and engagement events statistics.

Total days:

Your team:

Churney

2.2

Assess the size of your business opportunity

We present our initial predictions for you, agree on the key metrics and parameters for the initial experiment campaign.

Total days:

Your team:

Churney

Activating

Sending predictions to ad networks for optimization

Total days:

3.1

Optimize the signal volume

We monitor post conversion signals sent by Churney to the ad network directly or through your MMP and account for losses of signal.

Total days:

Your team:

Churney

3.2

Launch our experiment

Your marketing team replicates your business as usual campaign and configures Churney’s signal as a custom event within the ad network’s experiment framework. The experiment is then launched.

Total days:

Your team:

Churney

3.3

Learning Phase - Frequent Checks & Updates

During the learning phase our team conducts frequent checkups, including volume & audience lift and if required model updates.

Total days:

Your team:

Churney

3.4

Optimize the experiment

Monitoring signal volume & performance anomalies.

Total days:

Your team:

Churney

3.5

Summarize the experiment

Upon stoping the experiment we allow cohorts of acquired users to mature for an additional period of 14 days, after which we conduct an official experiment summary meeting.

Total days:

Your team:

Churney

From onboarding to running an experiment. Get going in 3 simple steps.

Modeling

Analyzing data and building predictive lifetime value models

Sharing

Providing acces to campaigns, historical user and revenue data

Activating

Sending predictions to ad networks for optimization

Modeling

Activating

Optimize your customer Acquisition and Retention for maximum Lifetime Value.