At a glance
Top N discount codes ranked by redemption count in the 30D window. The marketing-cost-of-promotion view: which codes are doing the work?
Calculation
Calculated automatically from your Shopify data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
A US activewear DTC brand on Shopify Plus, runs welcome + seasonal codes. 30D window 12 Apr 26 to 12 May 26.
Six things to notice:
- WELCOME10 is the workhorse. 1,820 redemptions, mostly one-per-customer, ~41% of all code-using orders. AOV 87 confirms the welcome-cohort skews to bigger baskets (per AOV with/without Discount).
- FRIENDS25 is expensive. 25% off, 640 redemptions, 19,200? If yes, profitable; if no, it cannibalised existing-customer spend.
- FREESHIP is free in name only. 7-8 per parcel; FREESHIP saved customers ~$10 each. The brand absorbed this. Worth tracking against full-price-with-shipping AOV.
- INSTASARAH is leaking. Public influencer code, 320 redemptions. If only ~150 customers came from Sarah’s posts, the other 170 found the code on RetailMeNot or from social-sharing. Influencer codes should be private (one-per-link or unique-per-post).
- TRAINING20 was strategic. Category-specific code; lifted training-product orders without cannibalising other categories. Worth repeating quarterly.
- BIRTHDAY is automation. 180 redemptions from Klaviyo birthday flow. Lower AOV ($89) than WELCOME10, expected (birthday gifts are lower-budget impulse).
Sibling cards merchants should reference together
Top Discount Codes is the per-code drill-down. Companions:Reconciling against the vendor’s own dashboard
Where to look in Shopify Admin:Shopify Admin → Discounts for the code list, then Analytics → Reports → “Discounts” for usage and valueThe Discounts admin page lists all codes with status; the Discounts report shows orders-using-code with sum of discount value. Combine for a per-code view that should match this card to within sync-lag tolerance. Other Shopify Admin views:
- Reports → Sales attributed to a marketing campaign: campaign-level rather than code-level.
- Apps like Reactivate, Klaviyo, Smile.io: their reports show flow-attributed discount usage; subset of total.
Cross-connector reconciliation:
Known limitations / merchant FAQs
Why is my welcome code dominating the list? Welcome codes get high volume because they’re attached to email signup; nearly every new customer can redeem one. They’re typically your largest single line of discount-cost. The question is whether the cohort they bring is profitable; pair with New Customers. My affiliate / influencer code is leaking. What can I do? Affiliate codes shared on coupon-aggregator sites like Honey, RetailMeNot, Capital One Shopping become public quickly. Three remediations:- One-per-customer limit: prevents repeat-redemption by code-shoppers.
- Trackable-link-only redemption: requires the click-through to attribute, not the code alone.
- Auto-rotation: change codes periodically; lifetime of a public code is short.
- Incremental customers: customers who wouldn’t have bought without the code. Estimate via lift testing or conservative assumption (e.g. 60-80% of welcome-code customers are incremental; 10-20% of existing-customer reactivation codes are).
- Discount cost per redemption: total $-discount / redemptions.
- LTV uplift from incremental: incremental_customers × LTV.
- ROI: (LTV uplift - discount cost) / discount cost.
- Monthly audit: review top-10 codes for cost-to-incremental-revenue ratio.
- Sunset under-performers: codes with high cost and no incremental revenue should expire.
- Tighten leaky codes: public influencer codes need stricter rules.
- A/B test welcome code depth: 10% vs 15% on welcome flow; the higher-discount may not bring more first-time customers, just cost more.
- Replace generic codes with personalised: “WELCOME10” gets shared; one-time-per-customer auto-generated codes don’t.
- Cap usage limits: every campaign code should have a usage cap (per customer + total) to prevent runaway redemption.