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Case Study · Strategy · 2025

Incentivized Reviews Strategy

Driving review participation through loyalty without compromising authenticity. A cross-functional initiative that grew daily review volume by 300% across the AE + Aerie catalog.

Role

Product Strategist

Company

American Eagle Outfitters

Scope

15M+ Loyalty Members

Tools

Miro · Figma

Overview

The opportunity

Product pages across the AE and Aerie catalog were under-reviewed. Sparse coverage meant customers had limited peer input when making purchase decisions, and merchandising teams were flying blind on qualitative product feedback.

Both problems pointed to the same root cause: customers had no clear reason to come back and write a review after purchase. I partnered with a fellow Product Strategist on a cross-functional initiative to introduce loyalty-based review incentives, using the AE + Aerie Real Rewards program's 15M+ members as the addressable audience, growing participation at scale without sacrificing the authenticity that makes review content worth reading.

The Problem

Not enough reviews to actually help anyone

PDPs with sparse review coverage create friction at one of the most critical decision points in the purchase journey. Without peer input, customers have less confidence buying, particularly for new or lower-awareness products.

Low participation rate

The gap between customers who purchase and those who leave reviews was significant and growing.

Conversion impact

Reviews influence conversion, return rates, and the quality of feedback available to merchandising.

Structural problem

Closing the gap required a structural change to the value exchange, not a messaging fix.

Problem Statement

“How might we increase review participation across the AE + Aerie catalog at scale, in a way that grows content volume without introducing authenticity risk or compromising shopper trust?”

Research

The motivation was already there. It just needed a door.

Industry data backed the strategic direction. The question wasn't whether incentives would drive participation — research suggested they would. The question was how to structure the incentive so it motivated behavior without distorting it.

0%

of consumers say they'd be motivated to write a review if offered an incentive

PowerReviews

0%

of consumers want to be rewarded for engagement beyond purchase

Industry Research

Academic backing

A 2021 Journal of Marketing Research study by Woolley and Sharif found that “incentives increase review volume primarily through a selection effect, motivating people who would not typically post to participate.” Importantly, the same study found incentives also increase the relative positivity of review content, which informed our decision to build transparent disclosure in from day one rather than treat it as a legal checkbox.

Competitive Research

How others had solved it

We looked at how other retailers tackled incentivized review programs, focusing on three questions: how was the incentive framed, what eligibility and verification logic was in place, and what guardrails were protecting review quality?

Abercrombie

Loyalty-linked review program with visible reward labeling, email-matched verification, and post-moderation award logic.

Adidas

Loyalty-linked program with transparent incentive disclosure on published reviews and moderation-gated reward release.

Old Navy

Points-for-reviews program with email-matched verification and visible incentive labels on reviewer cards.

Consistent finding across competitors

Incentives increase participation. Guardrails and framing determine whether the resulting content is useful. The most durable insight: the primary motivation for leaving a review is wanting to help other shoppers. Incentives give people a nudge to act on it.

Strategy

Giving customers a reason to show up

We approached this as a value exchange design problem. Three principles shaped the strategy, drawn from competitive research, behavioral science, and an honest look at platform constraints.

Framing matters

Points positioned as appreciation for sharing feedback drove meaningfully different behavior than points positioned as payment. Recognition felt genuine; transactional framing introduced authenticity risk.

Transparency builds trust

Incentivized reviews labeled visibly as such did not suppress readership. Shoppers expected disclosure and responded better to it than to unlabeled programs.

Launch lean and learn

Competitors consistently launched with minimal controls, used real behavioral data to understand what drove quality, and refined guardrails in subsequent phases. Overbuilding Phase 1 would delay the learning.

Execution

Getting everyone in the room before anyone made decisions

My co-strategist and I facilitated a cross-functional workshop using MoSCoW prioritization, bringing product, engineering, marketing, legal, and UX into the same room before any design decisions were locked. The goal was to surface constraints early, align on scope, and bake legal requirements around incentivized review disclosure into the design from the start.

MoSCoW prioritization board sorting review incentive requirements into Must Have, Should Have, Could Have, and Won't Have

The MoSCoW board

Requirements sorted live in the workshop · Product, Engineering, Marketing, Legal, UX

ProductEngineeringMarketingLegalUXMoSCoW FrameworkPhase 1 Scoping

Three designed behaviors anchored the build:

Loyalty prompt at point of submission

Customers were asked to confirm or join the loyalty program while submitting a review, reducing friction at the highest-intent moment.

Submission FlowLoyaltyZero Friction

Email-matched points release

Loyalty accounts were matched by submitted email, triggering automated reward delivery after moderation approval. No forced sign-in. Reward was tied to approval, not sentiment.

CrowdTwistBazaarVoiceAutomation

Visible incentive labeling

Published reviews that earned points carried a visible tag. Transparent by design, not buried in footnotes. Baked in from day one rather than treated as a legal checkbox.

DisclosureTrustCompliance

Existing infrastructure, maximum leverage

The existing BazaarVoice platform already supported incentivized review logic with no new platform or significant re-architecture required. CrowdTwist handled loyalty verification on the backend. Phase 1 was scoped to maximize impact within what already existed.

Final Screens

What shipped

Two surfaces where the incentive program became visible to customers: the submission form and the published review list.

Write a Review screen showing Real Rewards loyalty prompt — earn 50 points per review

Loyalty prompt at submission

The Real Rewards points offer surfaced inline during review submission, at the highest-intent moment, with no extra steps.

All Reviews list screen showing Reward Points Awarded label on incentivized reviews

Visible incentive labeling

Published reviews that earned points carry a visible “Reward Points Awarded” label, transparent by design and not buried in footnotes.

Outcomes

The numbers moved. So did our thinking.

0%

increase in daily review volume

Reaching approximately 1,500 reviews per day

Running a workshop that ended in decisions, not notes

Getting real cross-functional alignment on an ambiguous initiative is genuinely hard. This session produced a scoped MVP with buy-in across every function at the table.

Naming the tradeoffs out loud before launch

The team went in with clear awareness of the tradeoffs, which meant quality issues were tracked from day one rather than discovered and explained post-launch.

Keeping the build inside existing infrastructure

Using BazaarVoice and CrowdTwist rather than standing up new systems made Phase 1 achievable without a lengthy engineering cycle.

Secondary benefit

The review flow prompted loyalty sign-ups from customers who had not previously enrolled, giving the program an organic growth engine at a natural moment of brand engagement.

Accepted tradeoffs, tracked from day one

The program produced a measurable but expected quality tradeoff: both high-quality and lower-effort submissions increased. That was an accepted Phase 1 outcome, not a surprise. It gave us the real behavioral data needed to sharpen guardrails in a future phase.

Quality tradeoff anticipated and documented pre-launch

Behavioral data collected to inform Phase 2 guardrails

Moderation-gated reward release tied to approval, not sentiment

Transparent labeling protected long-term review credibility

Longer-Term Impact

Beyond the feature

The workshop became a template

The cross-functional workshop model used here ended up becoming something of a reference point for how to run alignment sessions on ambiguous initiatives. The structure, the research-grounded framing, and the early legal involvement carried into subsequent loyalty and engagement work across the team.

The strategic direction aged well

According to Antavo's Global Customer Loyalty Report, rewarding non-transactional activities like reviews is one of the most effective levers for reducing member churn, something 65% of loyalty program owners now actively track. The direction we chose in Phase 1 has only become more relevant.

Tradeoffs named upfront, tracked throughout

Naming the tradeoffs out loud before launch meant the quality tradeoffs were tracked from day one rather than discovered and explained post-launch. That felt like the right way to run a program built on trust.

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