Customer Churn Prediction How to Use Churn Prediction and Analysis to Increa | Page 7

BEST PRACTICES OF
CUSTOMER RETENTION
ANALYTICS
1.
Gather multiple data points to make
relevant recommendations
Be pragmatic and avoid making assumptions from
solely one set of data. Even though someone who lives
in California bought winter boots, it doesn’t necessarily
mean that they want to be bombarded with similar
product suggestions. Maybe they got them for their
sister who lives in Chicago!
2.
Leverage social proofs wherever you can
If your customers don’t respond to certain products,
maybe all they need is a little reminder that others,
similar to them are using them and are satisfied with it.
Use positive testimonials from surveys and social
media comments to your marketing communications
and website.
3.
Turn insightful data into effective action
It’s a fact: better data means better results. Just by
improving your internal data collection, you can often
achieve better data results. In other cases, you might
have to purchase better data. Valuable data is not
static, it’s a continual process of observing, acting and
learning.
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