Results from the first retention campaign using Ocurate:
WildEarth was experiencing high month-over-month churn, and their existing toolset was unable to identify individual customers who would respond positively to offers and be a better target for retention.
A profitable subscription business relies on long-term customers; when too many customers churn monthly, a brand faces higher acquisition costs and profit forecasts that vary month to month. The best way to retain customers is to motivate customers with a high potential lifetime value (LTV) to stay because they’re the ones that will be the most profitable.
WildEarth faced four main challenges:
- High month-over-month churn
- Limited understanding of the profiles of their high-value customers
- Inability to individually identify high-value customers
- Sending the same promo to every customer
WildEarth did a lot of proactive subscriber outreach to try to reduce churn and build rapport with their new customers.
- WildEarth maintained the flow of communication in the eight to 12 weeks after a customer’s first purchase
- New customers received an order confirmation, a product shipping notification, an educational email about using the product
- Customers received a promotion to trigger a second purchase
- A customer service representative sent a personalized check-in email 21 days after purchase.
But because WildEarth did not know who their high-value customers were, they were unable to target those customers individually. This resulted in the marketing team sending out identical promotions to both high-value and low-value customers, which is a strategy that can sometimes push high-value customers away.
In a bid to increase retention, WildEarth invested in a churn tool, but it predicted churn at the purchase level, not the individual level. WildEarth knew they needed to refine their targeting to customers with the highest LTV, so they segmented their customers based on the purchase value and purchase frequency, but that simply wasn’t enough data to accurately predict who was at a greater risk of churning.
WildEarth wanted to send out handwritten letters to customers in an attempt to reduce churn, but those efforts are not easily scaled. To make it more effective and scalable, they wished they could identify customers with the right personality for such a personal touch. They simply did not have the data to know who to target, when to target, and why to target.
WildEarth set a goal to understand which customer segments were most profitable, identify VIP customers independent of purchase history, and accurately identify profitable customers at risk for churn that can be retained with intervention.
Results with Ocurate
It is a truth, universally acknowledged, that some customers will churn no matter the offers a brand sends to them, and many of these reasons may be out of WildEarth’s control. For instance, some customers will churn because their pet doesn’t like the taste of WildEarth’s food and no matter what promo you give them, they will not come back. Ocurate identified key points in WildEarth’s funnel on when and how to intervene based on predicted LTV and behaviors. This would maximize profitability without wasting resources on customers who would churn no matter what, or on customers who would stay with WildEarth in the absence of intervention.
In their first retention campaign, WildEarth ran an A/B test to understand what form of outreach would encourage customers to purchase a second time or maintain their current subscription. They split an audience of purchasers Ocurate identified as high LTV and at risk of churn and targeted Group A with special promo/intervention while Group B was treated normally and went through the cadence already in existence. When compared, the customers in Group A who received the promotion saw their churn reduced by 16%, and the individual LTV of one segment in the group was increased by $32. The losses in revenue incurred by the treatment group decreased by 28% due to prevented churn. This amount does not account for the additional savings in promotions not sent to customers who exhibited no churn risk. Projected for the full year, WildEarth could see savings of at least $221,705.60 from this campaign.
Ocurate leveraged its deep learning framework and unique data on 260 million adult Americans and applied it to WildEarth’s customer base to create a profile of WildEarth’s highest value customers. The profile included insights tied to foundational personality traits (such as neurotic or compassionate), behaviors (such as geographic distribution), and attitudes (such as political preferences).
This is a unique differentiator Ocurate provides to brands. By combining WildEarth’s customer data with a robust dataset of in-depth behavioral and attitudinal profiles for 260 million American adults, Ocurate can create nuanced, well-rounded profiles of a brand’s ideal, profitable customers.
Taking action on the correct segment of high LTV customers is incredibly important because individuals react differently to the same promo depending on insights that most brands simply don’t have from their customer data alone.
Ocurate generates such detailed insights and identifies more than who’s at risk of churn; they work with brands to identify specific actions to take with each customer segment. Leading brands know LTV is a powerful organizing principle, but its real impact comes from taking action. And that’s Ocurate’s advantage: actionable LTV to accelerate profitable growth.