Incentive analytics

Measure what every discount really earned

Every promo leaks a little: to people who’d buy anyway, to deal sites, to poor stacking. Voucherify shows what each incentive cost, who used it, and what it brought back, so you can find the leak before finance does.

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How big is your leak?

Promos don’t fail loudly, they bleed quietly. Run your numbers and see how much margin walks out the door every month.

Monthly leak

€24,000lost to discounts that didn’t change a thing

50%of your margin goes to the discount on every promo order

750extra full-price orders a month just to earn the leak back

Relax, I’ve seen worse. Not much worse, but worse.

Tell a winning incentive from a giveaway

Redemptions tell you who used the code. Voucherify shows what it cost, who used it, and under which rule, so you can see which incentives earned and which just handed out margin.

See what every incentive cost

Discount value, redemptions and budget burn for every campaign, so when finance asks "what did that cost us?", you answer before they finish the sentence.

Find out who’s really redeeming

Break redemptions down by segment, channel and market. If your “new customer” code is mostly loved by loyal regulars, you’ll find out here, not in next quarter’s review.

Ask Vincent what actually worked

Ask which offers earned and which just burned. Vincent reads the results, compares campaigns, segments and markets, and tells you what to try next.

Showcase of Vincent analyzing incentives and campaign data

"Most of campaigns had to go through engineering. Fixing the legacy promo system pulled devs away from core work. Voucherify helped us get that time back."

90%

faster campaign deployment

Drop

in promotional margin loss

+35%

lift in engagement and conversions

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"Voucherify unlocked a whole new wave of marketing initiatives, letting us drive activation, retention, and churn prevention with precision and measurable impact."

Reduced

churn thanks to reactivating dormant users

higher conversions for incentives powered by Voucherify

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“Voucherify allows us to save over 70% of the time on our internal processes. Not to mention a massive slash in the subscription costs compared to our previous provider.”

70%

drop in campaign management time

50%

drop in subscription costs compared to previous provider

60%

reduced promotion fraud

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Table titled finance.promo_performance showing campaign discount costs and revenues: WELCOME10 with €4.1k discount cost and €18.4k revenue, FREESHIP50 with €2.3k discount cost and €9.1k revenue, SPRING20 with €6.3k discount cost and €7.0k revenue; synced from Snowflake and Databricks.

Put promo data where finance already looks

Send redemptions, costs and campaign data to Snowflake or Databricks and join them with your orders. Run your own incrementality and attribution models on one source of truth.

Chat message asking how last month's promos performed, displayed above a summary of three promotions: WELCOME10 with €18.4k revenue labeled Earning, FREESHIP50 with €9.1k revenue labeled Earning, and SPRING20 with €6.3k in discounts labeled Burning. A suggestion below reads: Next try SPRING15, new customers only. Your regulars were buying anyway. Two buttons below say Set it up and Show me why. A blue round character with a 'V' on its face sparkles at the bottom right.

Ask your data in whatever chat you like

Talk to Vincent or connect our MCP server to the AI assistant your team already uses. Either way, "how did last month's promos do?" gets an answer in seconds.

Bar chart showing welcome offers for sneakers in Germany: Competitor A at 10%, Competitor B at 15%, Competitor C at 12%, and You at 20%, with the highest bar in dark blue. A blue character with sparkle effects beside it says, 'You’re the most generous in the room!'

Know what the competition is offering

Vincent keeps an eye on what other brands are running, so you can tell whether your 20% is generous, average or just unnecessary.

Fraud prevention rules showing per-customer limits, velocity caps, and validation logic in Voucherify.

Treat every discount like the money it is

Every rule change, budget edit and new campaign is logged with a name and a timestamp. Add approvals for anything above a set limit, so a 50% code doesn’t go live because someone was feeling generous.

Support case timeline for coupon code HAPPY746HUG owned by Anna K., showing three stages: Issued on 14 Mar at 09:12, Tried at checkout on 14 Mar at 18:40, and Declined with cart value €42 below the minimum €50, marked Declined in red.

Settle "I never got my discount" in seconds

See exactly what each customer was sent, redeemed or ignored, and why a code was declined. Support closes the ticket, and marketing learns what customers actually use.

Screenshot of a Reddit post from r/dealhunters stating 'SPRING20 still works and stacks with free shipping!' with 1.2k upvotes and 348 comments. Below is a line graph showing SPRING20 coupon redemptions over the last 12 hours, sharply increasing ninefold before hitting a capped budget of €10,000 out of €10,000.

Spot a leaked code before it trends

Sudden spikes, the same accounts redeeming again and again, codes turning up in odd channels: you see it as it happens. Cap it, block it or shut it down before it hits the deal sites.

Fast when it matters, safe when it counts

Every number is an API call away

Pull campaigns, redemptions and costs from hundreds of endpoints. Build your own reports, feed your own dashboards, answer your own questions.

Go to docs

Take our APIs for a spin

Ready-made Postman collections for every core flow, so you can see how an offer behaves before anyone writes a line of code.

See API Reference

Run SDKs

Official SDKs for JavaScript, Python, PHP, Java and more. Fewer custom wrappers, faster first experiment.

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Your warehouse is the source of truth (we agree)

Sync segments and customer traits from Snowflake or Databricks into Voucherify with reverse-ETL tools like Hightouch. Send every redemption back via API, webhooks or Kafka, so promo data sits right next to your orders, where incrementality gets measured.

Code snippet of a SQL query selecting campaign, sum of discount as cost, and sum of order_value as revenue from voucherify.redemptions table joined with orders table using order_id, grouped by campaign.

Visual of custom data model for incentives

Your data, your rules

Add custom fields to customers, products, campaigns and redemptions (margin, cost, lifetime value, store, whatever you track). Then build rules and reports around them.

Fast enough to trust in real time

Sub-50ms responses and 99.99% uptime, so live numbers are actually live. Even on Black Friday.

Track status

Security so boring it’s beautiful

Roles, approvals before anything goes live, and a log of every change. ISO 27001 and GDPR compliant.

Plugs into the tools that hold your data

Ecommerce, CRM, CDP, app, POS: if it has an API, Voucherify connects to it. Pre-built integrations for the usual suspects and the rest is quick to build.

See all integrations

Vetted by the people who vet vendors

Analysts and auditors already did the homework, so you get a head start

Featured by Gartner

Featured in Gartner’s loyalty research. Turns out analysts like margins too.

MACH Alliance member

Composable before it had a logo. MACH even gave us awards for our agentic work.

Certified by AWS

Plenty of vendors say "retail-ready". AWS actually checked whether we are.

ISO 27001 & GDPR

An auditor already went through everything with a magnifying glass, so your CISO doesn’t have to.

Our takes on incentive analytics

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FAQs

Incentive Analytics

What is incentive analytics?

It’s how you find out what your promotions, loyalty and referral programs actually did: what each incentive cost, who used it, and what it brought back. Redemptions tell you a code was used. Analytics tells you whether that was a good idea.

What’s the difference between redemptions and results?

Redemptions count who used a code. Results count what changed because of it: new orders, bigger baskets, customers who came back. Voucherify shows cost, usage and context for every incentive; put that next to your order data to see the difference.

Can Voucherify measure incrementality?

Voucherify gives you the promo side of the picture: who got which offer, who redeemed it, and what it cost. Incrementality comes from comparing that with how customers buy without the offer, usually in your warehouse or BI tool. The free incrementality calculator on marginmaxx walks you through the maths.

Can I see the ROI of each campaign?

You’ll see the cost side directly: discount value, redemptions and budget used per campaign. For full ROI, send that data to your warehouse or BI tool and join it with revenue. Or ask Vincent which campaigns earned and which just burned.

Does it work with Snowflake, Databricks or my BI tool?

Yes. Export campaign, redemption and cost data via the API, webhooks or Kafka, and bring audiences in from your warehouse with reverse-ETL tools like Hightouch. Promo data ends up next to your orders, where finance already looks.

How do I spot a leaked or abused code?

Watch redemptions in real time by code, channel and customer. Sudden spikes and repeat redeemers stand out quickly, and budget caps, per-customer limits and validation rules stop the damage before it spreads.

Are you optimizing incentives or just running them?

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Audit your incentives

Measure what every discount really earned

How big is your leak?