Hey SME marketing agency!
Find out which clients are about to churn and how you can prevent it
Causalytics is a churn prediction and prevention solution for SME digital marketing agencies.
EXAMPLE: THE "ACCOUNTS AT RISK" VIEW
Causalytics identifies the accounts most likely to churn, pinponts the probable cause and gives account-specific recommendations on how to fix it.
CHURN PREDICTION BASED ON ANALYTICS DATA
What differentiates Causalytics from other churn prediction platforms is that Causalytics connects to you clients website and advertising analytics data like Google Analytics, Google Ads and Facebook Ads.
This data is the used to identify patterns in churn behaviour. Is there, for example, a link between churn and campaign conversion rate?
CLIENT-SPECIFIC RECOMMENDATIONS ON HOW TO PREVENT CHURN
When the reasons leading to churn have been detected, Causalytics identifies the clients that have the highest churn risk and gives you recommendations on how to prevent churn from happening.
The solution is rarely the same for all clients, so Causalytics provides client-specific recommendations based on the client's data.
OPTIMISED FOR SMEs
Causalytics works best when the number of accounts is large (hundreds) and the ad campaigns are fairly simple.
Currently, we're focusing on Google Ads and adding more channels in the future.
GET STARTED IN A FEW MINUTES
All you need to do is to give Causalytics read-access to your Google Ads master account with at least 100 accounts that have churned and at least 100 accounts that haven't.
More data gives better results
You can get started just by connecting your Google Ads account, but addtionally providing CRM data produces much better results.
To get started quickly, you can just provide us with a CSV export and no integrations are needed
Below are some examples of data points that Causalytics can use to find churn.
Cost/click, Cost/conversion, Monthly budget, Number of clicks, Number of conversions, Number of campaigns, Number of ad groups, Number of keywords, Number of changes made
Number of visits, Bounce rate, Conversion are tracked, Number of conversions, Advertises on multiple channels, Google Ads metrics compared to other channels.
Firmographics (Industry, company size etc.), Subscriptions/products bought, Lead source, Sales method, Sales person, Package size, Payment history
Customer support system
Number of times customer contacted support, Contact reasons, Customer sentiment, Customer feedback on support
Number of logins, Reports viewed