How KitKat made its database acquire: 80% new buyers, 6x the ROI | Hashting
KitKat Cereal × Hashting
How KitKat made its database acquire: 80% new buyers, 6× the ROI.
One single-click mailing. An Endless Engagement mechanic. Full budget control, watched in real time. Here is how a brand manager stopped hoping and started measuring.
Hashting5 min readAcquisition · FMCG
4 in 5
redeemers were new to the brand. The category norm is the reverse, so this reads as real acquisition.
6×
the ROI of partial cashback. A different category of mechanic, the strongest the team had run.
100%
of budget visible in real time. Reconciliation is live, so overspend cannot sneak in.
Every KitKat brand manager sits on a goldmine. A rich consumer database, built over years of campaigns. The hard part has never been the data. It is turning that data into sales you can count, across every retailer, on a budget you can actually see.
This is a seasoned FMCG marketer. Ambitious, data-driven, accountable for ROI. They need promotions that move product off shelves, with the numbers to prove it.
The enemy is the blind promotion
Classic in-store promotions are expensive and hard to track. Cashback mechanics leak budget and stop short of full value. Mass emails land with the people who already buy. So the brief becomes a gamble: launch, hope, and wait for a report that comes back thin. Partial redemptions. No view of who bought. No proof you reached anyone new.
You launch hoping for the best, and the data never tells you whether you won.
The turn: a single click becomes a sale
Picture the KitKat Cereal launch. A great product, and one goal: drive trial at scale, across every major retailer. KitKat ran it on Hashting's Endless Engagement mechanic, a 100% cashback offer delivered through precision-targeted brand mailings. One click activates the shopper. The shopper walks into a store. The database becomes a revenue engine.
KitKat Cereal, the launch product
Here is where the story gains power. You watch the redemption budget in real time, around the clock, and you control every euro of spend. The campaign reaches well past your existing fans. 80% of the people who redeemed were new to the brand, where the category norm runs the other way. That is acquisition at scale.
And the data keeps working. Every interaction becomes a signal: shopper insight, retailer performance, CTA analytics, all flowing back into the MarTech stack through API enrichment. The campaign runs, and the brand gets smarter while it runs.
The Hashting Loop, one engine from ad to aisle to data
By the close, one mailing had done what the old playbook could not. Four in five redeemers were new to the brand. The mechanic returned six times the ROI of partial cashback. Every euro of budget stayed in view the whole way, and the database came out richer than it went in. This is the moment the brand manager wins.
Before and after
Before Hashting, the KitKat team guessed. After Hashting, they measured. Same database, same product, a different ending.
What the campaign delivered
✓4 in 5 redeemers were new to the brand. The category norm is the reverse, so the spend bought growth, not a loyalty top-up.
✓6× the ROI of partial cashback. The strongest in-store mechanic the team had run.
✓100% of budget visible, 24/7. Reconciliation happens live, so overspend cannot sneak in.
✓A database that compounds. Every redemption enriches a profile, so the asset grows with each send.
✓Insight that outlasts the campaign. Who buys, where, and when, fed back into the stack.
✓Every retailer, one campaign. Omni-channel by default, scalable by design.
Where KitKat takes it next
One campaign proved the mechanic. The same engine compounds from here, each play stacking more value on the same database.
→Be more generous with the offer. The more attractive the deal, the more redemptions per euro. Generosity lifts the ROI, it does not cost it.
→Put the value in the subject line. A clear CTA like "Discover for free" tells the reader the deal before they open, and conversion follows.
→Ask buyers to rate the product. Reviews turn one purchase into proof that recruits the next shopper.
→Build volume with a follow-up. A repeat or cross-sell offer turns one redemption into two, then three.
→Turn buyers into recruiters. A share-a-friend mechanism puts earned media to work, each buyer bringing the next.
→Go beyond the mailing. Run the same mechanic on-pack and on social to recruit fresh, qualitative members into the database.
→Add a contest on the cereals range. Consumer engagement at a fixed incentive cost, so spend stays predictable while participation climbs.
→Profile progressively. Ask a little more with each interaction, so the database deepens without adding friction.
