# Promo-code analytics for creators: the numbers worth having

Canonical: https://usecode.sh/guides/promo-code-analytics
Last reviewed: 2026-08-13

Useful promo-code analytics come down to three owned numbers per code per day: page views, shop taps, and code copies. Copies are the differentiator, because code buyers routinely skip the link entirely. Anything a dashboard claims beyond those three, like sales or revenue, requires the brand's checkout data and should be treated as missing unless your program reports it.

## The three numbers and what they answer

- **Views per day:** did your content move people to the page at all? Spikes should line up with posts; attach the post to the card and the correlation is visible.
- **Shop taps:** the link path. This is the number that should roughly agree with the brand's click tracking on your link.
- **Code copies:** the code path, invisible to click tools. High copies with modest taps is the normal signature of a code that works; the mechanics are in [copies vs clicks](/guides/code-copies-vs-link-clicks).

## Checklist for evaluating any code dashboard

1. Are copies counted at all? Most link tools count clicks and views; Linktree's published plan comparison lists clicks, views, and CTR, with no copy metric.
2. How far back can you look, for free? Linktree's free window is 28 days; a brand negotiation in March will ask about January.
3. Are the numbers per code, per day, or only page totals? Campaign reporting needs the per-code cut.
4. Is bot traffic filtered before it lands in your numbers?
5. Does anything on the dashboard imply sales without redemption data? If so, distrust the rest of it too.

## How usecode.sh handles each of these

Every card records views, taps, and copies daily with bot filtering ahead of logging, history is not paywalled, and the dashboard never displays a sales figure it cannot observe. When a brand's redemption report arrives, your copy curve is the leading indicator it should trail. Turning these numbers into a brand-ready report is covered in [reporting code engagement](/guides/report-code-engagement-to-brands).

## Related guides

- [Promo-code tracking for creators: what you can and cannot know](https://usecode.sh/guides/promo-code-tracking)
  What a creator can actually measure about their promo codes without the brand's sales data: views, taps, copies, and what each one means.
- [Why promo-code copies do not show up as link clicks](https://usecode.sh/guides/code-copies-vs-link-clicks)
  Buyers who use your promo code often never click your link, so click analytics record nothing. What the copy path looks like and how to measure it.
- [How to measure promo-code interest without sales data](https://usecode.sh/guides/measure-code-interest-without-sales-data)
  A working measurement stack for creators who cannot see redemptions: copies as the core signal, ratios that mean something, and the claims to never make.
- [How to report promo-code engagement to brands](https://usecode.sh/guides/report-code-engagement-to-brands)
  A reporting format that makes brands trust your numbers: views, taps, and copies clearly labeled as engagement, lined up against their redemptions.
- [usecode.sh vs Linktree for promo codes](https://usecode.sh/compare/linktree)
  Linktree has a free discount-code app; the differences are page architecture, copy analytics, and what free includes. A sourced, dated comparison.

## Sources

- [Linktree pricing and analytics comparison](https://linktr.ee/s/pricing/) (verified 2026-08-13)