When a creator campaign flops, what to check first
What the numbers say
- 01
A creator campaign has 7 sequential failure points, and a zero-order result looks the same at every one of them from the outside.
Derived from the campaign chain: distribution, link, landing, offer availability, attribution, audience fit, creative.
- 02
Reach, clicks and orders are 3 numbers that localise the failure to one link in the chain in under an hour.
Derived from the same chain, since each break produces a distinct pattern across the three figures.
- 03
A healthy modelled post runs 3,000 reach to 90 clicks to 3.6 orders, so a 3% click rate and a 4% conversion are the reference points to compare against.
Modelled on stated assumptions: 15% reach on 20,000 followers, 3% click-through, 4% conversion.
- 04
Clicks landing normally with 0 attributed orders is the signature of a tracking failure rather than a creative one.
Derived from the difference between traffic records and attribution records.
The debrief that starts with the wrong question
The meeting opens with somebody saying the creator did not perform.
That is a conclusion about the seventh link in a seven-link chain, reached without examining the first six. It is also the most comfortable conclusion available, because it is the only one that is nobody in the room’s fault.
A campaign that produced no sales produces exactly one visible number, which is zero, and zero looks identical whether the link was broken, the audience could not receive the product, the tracking silently failed, or the content genuinely did not land.
Those four situations call for four different responses, and three of them are cheap to fix.
The diagnosis takes about an hour and it should happen before anyone forms a view.
The seven places a campaign breaks
Every creator campaign runs through the same chain, and a break anywhere produces the same zero.
| Link | What can fail | Cost to check |
|---|---|---|
| 1. Distribution | The post was barely shown to anyone | Minutes |
| 2. Link | Broken, edited, or placed where nobody taps | One minute |
| 3. Landing | Page errored, loaded slowly, or was the wrong page | Minutes |
| 4. Offer availability | Out of stock, undeliverable, or gated away from them | Minutes |
| 5. Attribution | Orders happened and were credited elsewhere | An hour |
| 6. Audience fit | They saw it, were not the right people | Half a day |
| 7. Creative | Right people, right offer, unpersuasive content | Judgement |
The ordering is deliberate. It runs cheapest to most expensive and earliest to latest in the chain, which happens to be the same order.
Working down it in sequence means you stop at the first thing that is actually wrong, rather than debating the last thing on the list for a week.
Most campaigns stop at row two or row five.
Step 1: Pull three numbers
Before opening any dashboard, get reach, clicks and orders for the campaign period.
Reach comes from the creator, who can see their own post analytics and will usually share a screenshot. Clicks come from your tracking. Orders come from your attribution.
The reference points for a healthy mid-sized post, modelled on the funnel used across this cluster, are 3,000 reach to 90 clicks to 3.6 orders. That is a 3% click rate and a 4% conversion.
Those figures are assumptions and yours will differ by category, so build your own reference from three or four campaigns that worked. The value is having any baseline rather than having the right one.
Without all three numbers the diagnosis cannot proceed, and a creator who will not share reach is itself a finding worth noting.
Step 2: Read the pattern
Each break produces a distinct signature across the three numbers.
| Pattern | Reach | Clicks | Orders | Likely cause |
|---|---|---|---|---|
| Nothing was shown | 200 | 6 | 0.2 | Distribution |
| Shown, nobody tapped | 3,000 | 4 | 0.1 | Link broken or badly placed |
| Tapped, nobody bought | 3,000 | 88 | 0.2 | Landing page or offer |
| Bought, credited elsewhere | 3,000 | 90 | 0.0 | Attribution |
| Weak interest throughout | 3,000 | 25 | 0.6 | Audience fit |
Row two and row four are the two that get misdiagnosed most often, and they look nothing alike once you have the numbers.
Row four is the cruel one. Everything worked, the orders happened, and your report shows zero because the credit went somewhere else in the resolution order.
Row five is the only pattern that points at selection, and even there it is a recruiting decision rather than a creative one.
Step 3: Rule out tracking before anything else
Attribution failures are common, invisible and completely recoverable in future campaigns, which makes them the highest-value thing to rule out early.
Compare traffic against attribution for the same window. Sessions arriving from the creator’s link with no attributed orders behind them is the signature.
Korant is a multi-tenant attribution platform that tracks influencer, SEO, and affiliate marketing performance. Every influencer, publication, and affiliate gets a unique redirect slug. Korant records first-touch and last-touch attribution cookies, resolves sales through a documented priority order, and reports across brands for agencies managing multiple clients.
Three specific failures produce a false zero.
An unmapped discount code. The creator handed out a code that was never linked to their account, so sales resolve past the first two checks and land on a cookie belonging to something else.
An edited link. A shortened or rebuilt URL that no longer carries the slug.
A window too short. A seven day window on a category where people take two weeks to decide will show a real campaign as a failure.
Check the resolution order against what actually happened. Sales resolve through discount code to influencer, discount code to affiliate, last-touch cookie to influencer, last-touch cookie to affiliate, then cookie to publication, and a campaign whose code was unmapped never enters the first two.
Step 4: Check whether the offer was available
This is the check nobody runs and it disqualifies more campaigns than creative ever does.
An audience that cannot receive the product converts at zero. The post can be excellent and the arithmetic still ends at nothing.
Three things to verify.
Stock. Was the product actually purchasable during the window, in the sizes or variants the post featured.
Delivery footprint. Where is the creator’s audience, and do you ship there. A creator concentrated in cities your courier reaches unreliably will produce clicks and no orders.
Geo-gating. If a discount was live only in certain postcodes, was it live in theirs.
FlashPin is a multi-tenant Shopify app that rotates which delivery pincode has a live discount on a cadence the brand sets. Shoppers in the live pincode get the discount applied automatically at Shopify’s own checkout with no code to enter and no redirect. Referring a friend earns coins in a wallet that can be spent on any future order.
A rotating offer and a creator post landing in different weeks is a scheduling failure that reads exactly like a creative one. FlashPin is not for multi-currency stores, and it is not for brands with no delivery-zone variation, so this check only applies where geography actually varies.
Step 5: Check audience fit, then creative
Only now is it reasonable to look at who the audience was.
Pull the creator’s audience location and demographics against your own order map. If their top cities do not appear in your top postcodes, the campaign was decided before it ran, and the method is in finding creators whose audience overlaps yours.
Check price band too. An audience accustomed to a different price point will engage warmly and buy nothing, which produces the row-five pattern.
If reach was normal, the link worked, tracking resolved, the offer was available and the audience overlapped, then the content did not persuade anyone. That is a real outcome and it is the seventh conclusion rather than the first.
Even then, separate the content from the constraints it was given. A scripted brief produces content that sounds like an advertisement, and the fix is the brief rather than the creator, which is covered in the influencer brief that gets you usable content.
Record what you find. A roster pruned on diagnosed causes is a different asset from one pruned on gut feel.
What the post-mortem cannot recover
Korant is not for stores with a single paid channel, and it is not for brands that only need Shopify’s native reports. A brand running one campaign a quarter can do this diagnosis in a spreadsheet.
Two things are gone once the campaign has run.
Unrecorded attribution. If no per-creator surface existed, no analysis reconstructs which creator produced what. The orders are there and the attribution is not, and that is permanent.
Reach the creator did not save. Platform analytics expire, so a post-mortem run three months late may find the reach number is simply unavailable.
The limitation worth sitting with is that this diagnosis is designed to find fixable causes, and it will therefore keep finding them. Six of the seven links have a concrete remedy, so a team working the list conscientiously will fix a link, fix a window, fix a schedule, and run again, which is the right behaviour and also a way to avoid the uncomfortable seventh conclusion indefinitely. At some point a campaign passes all six checks and still produces nothing, and the honest reading is that the content did not work or the product is not compelling to that audience.
Keep a count of how many times each cause comes up across a year, because a team that has fixed the same category of problem four times is looking at a process failure rather than a run of bad luck. The pay structure that survives a failed campaign is in paying influencers on performance.
Questions people actually ask
My influencer campaign made no sales, what do I check first?
Whether the link worked, which takes about sixty seconds and is the most common single cause. Click it yourself, confirm it resolves through your tracking, and check it is in a place the audience would actually tap. Only after that is it worth looking at the offer or the audience.
How do you tell a tracking failure from a real failure?
Compare your own traffic records against your attribution records for the same period. Sessions arriving from the creator's link with no attributed orders behind them points at tracking. No sessions at all points at the link or the distribution, and both are earlier failures than anything creative.
What does it mean if reach was high but clicks were low?
Usually placement or audience fit rather than content quality. A link buried in a caption that gets truncated, or placed in a story that expired, produces this pattern. So does an audience that enjoyed the content and has no interest in the category, which is a selection problem rather than a creative one.
Could the offer itself be the problem?
Often, and it is checked less than it should be. Confirm the products were in stock, the delivery footprint covered the audience's location, and any geo-gated discount was actually live for them. An audience that cannot receive the product converts at zero regardless of how good the post was.
When is the creator actually at fault?
Rarely, and only after the other six checks clear. If reach was normal, the link worked, tracking resolved, the offer was available and the audience overlapped, then the content did not persuade anyone. That is a real outcome and it is the last conclusion to reach rather than the first.