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How this guide was prepared. Last updated October 2026. It draws on Brandmovers' experience designing seasonal promotions and loyalty campaigns. It also draws on published consumer research and Brandmovers client case studies, each checked at its source. |
Peak season loyalty is the design of loyalty mechanics around a high-volume selling window, such as holiday gifting or back-to-school, so that people who join during the spike keep participating after it. It is judged by what the peak cohort does after the window closes, not by enrollment volume.
Peak windows bring a burst of enrollment, activity and transactions that makes season-end program reports look strong. Some of those new members join for a welcome offer at a time when they were already buying, and once the offer is used, a program without a next step gives them little reason to come back. This guide treats peak enrollment as the start of onboarding: four design decisions, how to segment the peak cohort after the season and how to measure whether the season created year-round members. For the campaign mechanics themselves, see the guide to seasonal marketing campaigns that build loyalty.
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Peak season enrollees often join for a welcome offer while already buying. Once the offer is used and promotions stop, many programs give them no specific reason to return.
Research on acquisition discounts supports the concern. Analyzing customer data from a newspaper and an online grocer, Michael Lewis found that "acquisition discount depth is negatively related to repeat-buying rates and customer asset value," and that a 35% acquisition discount produced customers with about half the long-term value of customers acquired without a promotion (Journal of Marketing Research, 2006). Those were subscribers and grocery shoppers, not loyalty members, but the same risk plausibly applies to loyalty welcome offers: a rich offer can draw people who value the offer more than the brand. Over a longer horizon, Carl Mela, Sunil Gupta and Donald Lehmann's eight and a quarter years of panel data for a packaged good produced results "consistent with the hypotheses that consumers become more price and promotion sensitive over time because of reduced advertising and increased promotions" (Journal of Marketing Research, 1997). The lesson is not to drop peak offers but to size them against everyday program value and to plan what happens after enrollment. Program-wide reports hide the problem, because a peak enrollment push lifts enrollment and activity totals whether or not anyone stays.
Design the post-enrollment sequence before the peak campaign launches, because members who join on the busiest days need it immediately and January churn data arrives too late.
A confirmation email and a points balance record a transaction; they do not give a new member a next step. A designed sequence does. As an illustration, not a benchmark: a suggested first action that does not require a purchase, such as completing a profile, within days of joining; a note showing how close the member is to a first reward; recognition when they reach it; and an offer timed for after the season, once the peak promotional rush has passed. Pace the steps to the category's purchase cycle rather than a fixed calendar. Consent matters too: under FCC rules, marketing texts sent to mobile numbers with an autodialer generally require the recipient's prior express written consent (47 CFR 64.1200(a)(2)), so capture it at enrollment if the sequence uses texts. The guide to loyalty onboarding emails covers the email side.
Build the promotion around tasks spread across the window, such as a gameboard or weekly instant win, so participants have reasons to come back rather than a single entry moment.
A single-entry sweepstakes or bonus event produces one spike. Tasks spread across the window give participants several reasons to return and show who engages beyond the minimum, which is the signal the post-season segments need. Include tasks that do not require a purchase, such as surveys or referrals; a promotion where every task is a purchase risks rewarding purchases that would have happened in peak season anyway. The guide to gamification in loyalty programs covers gameboards, challenges and instant wins.
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Case study (disclosed by Brandmovers). For National Pizza Month, the 31 Days of DiGiorno sweepstakes and instant win asked participants to create an account on a promotional microsite. They earned one sweepstakes entry per gameboard space, 10 in total, for activities such as uploading receipts for DiGiorno purchases, taking a survey and referring a friend, could spin a Spin to Win wheel once a week for a chance at prizes, and could receive a bonus prize for completing the gameboard by a set date. It was a promotion rather than a loyalty program, and the case page reports no figures and no retention after the promotion. |
Limited availability that opens at a set time or closes on a fixed date creates urgency through supply, not price, with less risk of training members to wait for discounts.
The promotion-sensitivity research tracked years of promotion and advertising policy, not one season, but it points the same way: peak seasons built on ever-deeper discounts, repeated year after year, risk teaching the cohort to buy only on deal. Scarcity is an alternative, but only when it is real: if almost everyone who tries can claim the reward, there is no scarcity, and a false limit damages trust. Daily limits also leave many people empty-handed, so give them a consolation path, such as points for joining the program, that turns a missed prize into an enrollment. Scarcity is not the opposite of generosity: the Babybel reward below was free. The point is to limit who gets a rich reward and when, rather than discounting every purchase across the window.
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Case study (disclosed by Brandmovers). For back-to-school, Babybel ran a fire drill giveaway: a microsite went live at a set time each day, and the first 162 visitors could claim a free personalized lunchbox, shipped with Mini Babybel coupons. From July through August it gave away 10,000+ lunchboxes, and the microsite drew 1.2 million pageviews and 170K unique users (disclosed by Brandmovers). It was a free giveaway with no loyalty program attached, so it shows the pull of daily scarcity, not retention. |
Participants who do more than the minimum, such as submitting photos or completing optional tasks, may be showing above-average interest. Flag them during the season and test whether they stay.
Optional effort is a useful signal, but test it before relying on it: someone who uploads a photo for an extra sweepstakes entry may care about the prize rather than the brand. Record which optional actions each participant took, then check in your own data which of them predicts activity after the season. Holiday purchases need one more check: some are gifts, so a peak purchase may reflect the recipient's tastes more than the member's own interest in the brand.
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Case study (disclosed by Brandmovers). For Cat World Domination Day, Friskies ran the Cats Rule sweepstakes. Entrants could earn up to two extra entries by sharing a favorite cat rule and uploading a photo to a UGC gallery, were prompted to share their photos on social media with #FriskiesCatsRule, and could earn cash back on Friskies purchases through Ibotta. The promotion increased customer engagement by 300% (disclosed by Brandmovers). The case page does not define engagement or attribute the result to one mechanic, and it covers the promotion only, not follow-up. |
Segment peak enrollees by what they did during the season, and give each group a different follow-up, from a full onboarding path to a single low-cost reminder.
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Peak cohort |
What it signals |
Suggested follow-up |
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Completed several tasks or missions |
Engagement beyond one purchase |
A next challenge soon after the season; a tier progress prompt |
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Made one purchase, no other activity |
Transactional enrollment |
A specific reason to return within one purchase cycle, such as a reward they are close to, not a generic points reminder |
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Enrolled but never completed a qualifying action |
Low intent or passive enrollment |
One low-effort prompt, such as points for completing a profile; little further spend |
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Added optional content, such as photos or reviews |
Possible above-average interest (test it) |
Early access to the next seasonal activation; recognition; requests for feedback |
Where a member fits more than one row, use the most engaged row. Not every peak enrollee is a year-round prospect: gift buyers and once-a-year shoppers may be worth a lighter goal, such as returning next peak season, and should be judged against that goal rather than monthly activity. The segments need to be ready when the window closes, so check how quickly promotion and purchase data reach the tools that send messages. BLOYL™, Brandmovers' loyalty platform, runs a promotions builder (sweepstakes, contests, instant wins, bonus events) alongside the loyalty program, supports non-purchase earning such as surveys, referrals and profile completion, and includes predictive churn analytics and bidirectional CRM/CDP data flows, so peak promotion activity and member history can be managed on the same platform. Hold out a random share of each segment from its follow-up, large enough to show a difference, so the effect can be measured; pool small segments for the test. For members who fade later in the year, the guide to re-engaging dormant loyalty members covers win-back.
Compare the peak cohort with earlier peak cohorts or off-peak enrollees, and hold out part of it from the post-season sequence; program-wide totals will look strong regardless.
Three cohort measures show whether the season created loyalty or only enrollment:
The comparison matters as much as the measure. Peak enrollees chose to join, so comparing them with non-members mixes the program's effect with the difference between people who join and people who do not. Last year's peak cohort is a closer comparison, though offers and market conditions change; off-peak enrollees joined for different reasons. A random holdout from the post-season sequence is the cleanest test of whether the sequence itself works. As an illustration, not a benchmark: if 40% of the peak cohort is active 90 days after the season and 34% of the held-out group is, the sequence added about six points. Set against non-members instead, the same 40% would also absorb the self-selection gap described above.
Peak season enrollment is easy to buy and easy to lose. To keep more peak enrollees, plan the post-enrollment sequence before the season, size welcome offers against later value, use tasks and real scarcity rather than across-the-board deep discounts, segment the cohort by what people did and measure it against earlier cohorts and a holdout.
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Are your peak season enrollees gone by spring? Brandmovers runs promotions and loyalty programs together on BLOYL, so peak participation can feed onboarding, segmentation and testing after the season. Request a demo to talk through your program with the Brandmovers team. |