Loyalty and retention

Improve customer retention with a clearer view of who needs attention

Q: What are the most effective customer retention strategies?

The right strategy depends on the customer and the reason for follow-up. Common approaches include welcoming first-time buyers, identifying customers who may be drifting, matching offers to purchase history, and re-engaging lapsed customers. Test relevant messages and incentives against a comparison group, then use the results to decide what to expand.

Q: How does customer data improve churn prevention?

Resolved profiles help teams connect purchase history and available engagement or loyalty activity across systems. Configured churn predictions and changes in purchase recency, frequency, or value can help identify audiences for follow-up. Their usefulness depends on the data available and how often it is refreshed.

Q: What is the best way to convert first-time buyers into repeat customers?

Start by identifying customers with one recorded purchase across your connected channels. Use the first purchase, available engagement history, and customer preferences to plan relevant follow-up. Build a post-purchase journey, review its audiences and destinations, and test whether the program improves second-purchase conversion.

Q: How can brands grow loyalty program enrollment without overspending on incentives?

Use available purchase history, loyalty status, and customer attributes to define eligible audiences. Test different invitations or incentives, exclude existing members where appropriate, and compare enrollment and program cost across groups. This helps teams evaluate an incentive before expanding it.

Q: How does Amperity measure the impact of retention and loyalty programs?

For batch journeys, configure goal segments and test-and-control paths before launch to compare goal achievement and calculate incremental lift. Real-time journeys use exported travel logs and control paths for analysis. Other loyalty analysis, such as member value, offer ROI, or margin impact, depends on the data, definitions, and reporting your team has configured.

Bring customer, transaction, loyalty, and behavioral data together into trusted customer context. Use that understanding to prioritize customers who may be drifting, plan relevant follow-up, and evaluate which retention programs earn another purchase.

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The retention and loyalty outcomes of knowing your customers

Convert first-time buyers into repeat customers

Identify first-time buyers from resolved purchase history and use what they bought to plan relevant follow-up. Test messages, offers, and timing that encourage a second purchase.

Detect drift early in your highest-value customers

Changes in purchase frequency, engagement, and average order value are early warning signs many brands miss until it's too late. Amperity surfaces those signals early so retention efforts reach high-value customers before they drift into lapse.

Test relevant offers before expanding discounts

Use purchase history, customer value, and available preferences to choose audiences for different offers. Compare results and offer costs before deciding where a discount is worth the investment.

Measure the impact of retention campaigns and journeys

Retention impact is notoriously hard to prove. When control groups or holdouts are configured, Amperity helps teams measure incremental lift across repeat purchase, loyalty conversion, reactivation, and revenue, so every investment can be defended with evidence.

The retention and loyalty plays that trusted customer context makes possible

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Catch high-value customers before they go quiet.

The signals that precede lapse are visible if you know where to look. Amperity tracks changes in individual purchase patterns, engagement trends, and customer value as new data becomes available.

Connect unattributed transactions to the members behind them.

Every unattributed transaction is a missed chance to understand and reward a customer. Amperity connects duplicate accounts and unattributed transactions when usable identity signals are available, so your loyalty program sees a more complete view of each member.

Retain customers with the right offer, not a blanket discount.

Not every drifting customer needs a discount. Some need replenishment, early access, recognition, or service recovery. Amperity surfaces signals that may explain why customers are drifting so your team can choose the right intervention.

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Reactivate lapsed customers with the right message.

Use purchase history, available product affinity, and lifecycle status to group lapsed customers for relevant follow-up. Your team chooses the message and incentive, then tests the program through configured channels.

Churn Prevention and Win-Back

What your retention and loyalty teams get with Amperity

Build a shared view of customer relationships

Bring available transaction, loyalty, CRM, digital behavior, service, consent, and campaign data from connected sources into resolved customer profiles. Use that shared foundation to choose audiences and plan retention programs.

Prioritize customers who may be drifting

Configured predictive models for customer lifetime value, churn propensity, and product affinity help teams assess customer value and likely behavior. Use those estimates to prioritize retention audiences and choose which programs to test.

Turn a retention opportunity into a reviewed next step

Recommended Actions presents marketing opportunities with a target customer segment, supporting insights, and estimated business impact. Use the AI Assistant to prepare a journey from a recommendation, then review and refine it before launch.

Build audiences and prepare cross-channel journeys

Build audiences with visual tools or SQL. Where available, the AI Assistant helps authorized users draft segments and create journeys in plain language. Review the results before activating them to configured destinations. Batch audiences update on your configured schedule.

Measure whether a retention test improved results

Define the outcome and comparison group before a program begins. For batch journeys, configure goals and test-and-control splits to compare goal achievement and incremental lift. For real-time journeys, compare outcomes using exported travel logs and control paths. Use the results to decide which retention programs to refine or scale.

Explore retention risks with Pér

Where enabled, Pér, Amperity’s AI agent for customer data, helps authorized users explore signs of customer drift and recommend a next step using available customer data. Review the evidence and proposed plan in the Pér web app. Changes in Amperity require your approval.

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Customer stories

How leading brands are keeping more of their best customers

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Alaska Airlines increased loyalty conversion rates by 198%

Alaska Airlines reported a 198% increase in loyalty conversion rates from its initial Amperity use cases in 2017. Unified customer data supported more relevant outreach across its marketing programs.

Read the Alaska Airlines story

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Brooks Running put the runner at the center of its strategy

Brooks Running used unified customer data to create audience segments, test marketing communications, and support more personalized experiences.

Read the Brooks Running story

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New Look identified 24% more high-value customers

New Look reported 24% more high-value customers identified and £1 million in media savings. The retailer also found that 71% of its top customers shopped across multiple channels.

Read the New Look story

More ways to put customer context to work

Customer Journey Orchestration

Coordinate lifecycle journeys with audience rules, configured steps, and supported destinations.

Customer Segmentation

Build audiences from resolved profiles and available behavioral, transaction, and predictive attributes.

Real-Time Personalization

Give connected experiences customer context from real-time profiles and supported event signals.

Paid Media Optimization

Send first-party audiences and supported conversion signals to your connected advertising platforms.

Ready to keep more of your best customers?

See how Amperity connects trusted customer context to the retention and loyalty programs that turn first-time buyers into repeat customers and high-value customers into loyal ones.

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Frequently asked questions

What is the difference between customer retention and customer loyalty?

Customer retention measures whether customers continue buying. Customer loyalty measures the depth of the relationship: how frequently they buy, how much they spend, and how resistant they are to switching. Retention is the floor; loyalty is the ceiling. The most effective retention programs build both, using customer context to keep customers engaged between purchases and reward behavior that compounds lifetime value over time.