In short
- Run six stages in order: lock the data, audit it, analyse, close rights and payments, decide, archive. Skipping the audit is how a wrong number reaches the board.
- Analyse in a fixed order: result against target, cost against plan, creators, pooled formats and languages, creative, creator ads, audience quality and timing.
- Close the loop at the end of the window: label check, rights end dates in the calendar, ad switch-offs, invoices and TDS reconciled.
- End with a written decision on budget, mix and the next test, plus a learnings log with evidence, confidence and an owner, filed where next year's benchmarks can use it.
A post-campaign analysis for an influencer campaign runs in six stages: lock the data, audit it, analyse it in a fixed order, close rights, compliance and payments, decide what happens next, and archive everything. The audit is the stage teams skip, and it is where most wrong numbers are caught. Each stage below is a short checklist you can copy into your own tracker.
The closing document that comes out of this work is described in our influencer campaign report template, and the formulas it uses are in our guide to how to measure influencer marketing ROI. This post is the working checklist behind the report: what to do, in what order, and what to check before a number is trusted. For the wider plan, see the complete guide to influencer marketing in India. It matters because learning rarely carries over: 46.4% of surveyed Indian brands judge influencer performance campaign by campaign, per a 2026 vendor survey covered by Campaign India.
The timeline
| When | Stage | Output |
|---|---|---|
| Day 7 after each post | Snapshot insights | Dated screenshots |
| Day 30 after each post, or when your attribution window closes | Lock the data | A frozen analysis file |
| The days after the lock | Audit, then analyse | A clean sheet and a scorecard |
| Straight after analysis | Close rights, compliance and money | A signed-off close-out |
| Within a week of the lock | Review and decide | Decisions and a learnings log |
| Around day 90 | Refresh | Repeat purchase, search decay, fatigue |
Stage 1: lock the data
- Fix the cut-off date and time, and write it on the first line of the analysis file.
- Export orders from the store with UTM values, code, order date, new or existing flag and return status.
- Screenshot creator insights for every post at day 7 and day 30: views, reach, audience location, watch time, saves and shares, date-stamped.
- Export ad platform reports for creator ads, by ad.
- Pull the cost ledger from invoices, not from the plan.
- Export survey answers if you ran a post-purchase question.
- Save every live post's URL, label and caption, plus a copy of the comments.
- List mid-campaign changes: link fixes, offer changes, ad budget moves, stock-outs.
Once locked, the file does not change. Later corrections go in a dated log.
Stage 2: audit the data
| Check | How | Pass |
|---|---|---|
| Orders tie to the store | Tagged plus untagged orders equal the store total for the window | Ties, or the gap is explained |
| No double counting | One row per order, one creator credited by your fixed rule | No order credited twice |
| Test and internal orders removed | Filter by staff email, phone and test pincodes | None remain |
| Returns netted | Status as of the cut-off | Gross and net both shown |
| Code leaks | Run the check in tracking sales with discount codes | Existing-customer and off-geography redemptions out of acquisitions |
| UTM integrity | Values match your convention, no unexplained "(not set)" rows | Gaps explained |
| Views reconcile | Compare screenshot views with public counts on a sample of posts | Differences explained |
| Cost lines complete | Fees, rights, agency fee, product, production, media and tools all present | All present |
Here is the order reconciliation for a hypothetical campaign, with made-up numbers.
| Step | Orders | Note |
|---|---|---|
| Store orders in the window | 2,640 | The source of truth |
| Tagged with a creator link or code | 1,452 | From the UTM and code exports |
| Untagged | 1,188 | Search, direct, marketplace, unknown |
| Less orders credited twice (code and link) | -31 | One credit per order, code first |
| Less test and internal orders | -11 | Staff and test pincodes |
| Less existing-customer code redemptions | -49 | From the leak check |
| Clean creator-attributed orders | 1,361 | The verified floor |
| Of which new customers | 1,060 | The base for CAC and LTV |
Chase these red flags before any analysis starts:
- A creator with many clicks and no orders. Suspect a broken landing page or a wrong link.
- Code redemptions from pincodes the creator's audience does not live in. Suspect a leak.
- An order spike in a single minute, or at midnight. Suspect bulk orders, tests or a deal-site posting.
- A creator ID in the orders that is not on the plan. Someone shared a code you did not issue.
- Views that differ between day-7 and day-30 screenshots by more than growth explains. Suspect a boosted post or an edit.
A gap you explain is a caveat. A gap you round away is a risk. The attribution reasoning behind these checks is in influencer marketing attribution.
Stage 3: analyse, in this order
| Step | Question | Output |
|---|---|---|
| 1. Result against target | Verified floor and working figure against the target | Headline range; see the ROI formula guide |
| 2. Cost against plan | Which lines ran over or under | Variance by line |
| 3. Creators | Cost per result by creator | Scorecard; rank only creators with about 25 conversions, as in influencer cost per acquisition |
| 4. Pooled cuts | Tier, format, language, city cluster | Where money worked |
| 5. Creative | Hook style, offer framing, length | Learnings for the next brief |
| 6. Creator ads | Cost per purchase against brand-made ads | Reuse decision; see content repurposing ROI |
| 7. Audience quality | Target-city share, comment themes | See social listening |
| 8. Timing | Posting day and hour against clicks and orders | Schedule for next wave |
Order matters. Starting with the best creator invites a story before you have the totals. Starting with the totals sets the frame for everything else. Where you ran a holdout, read it at step 1 and let it overrule the tracked figures; see incrementality testing.
Stage 4: close rights, compliance and money
| Item | Check | Owner |
|---|---|---|
| Disclosure | Every live post carries a clear label upfront, in the placement ASCI requires; corrections logged | Agency |
| Claims | Final captions match the approved claims | Brand |
| Rights | End dates in the calendar two weeks ahead; ad switch-offs assigned to a named person | Brand |
| Payments | Invoices match contracts; TDS and GST handled; unpaid creators listed | Finance |
| Make-goods | Late or missed posts settled as the contract says | Agency |
Do the label check in the analysis, not later. In ASCI's 2025-26 annual report, 97.3% of the 1,609 influencer ads it processed needed modification (ASCI), and its influencer guidelines say responsibility is shared between influencer and advertiser. Our ASCI influencer guidelines explainer lists the labels and placements, and usage rights for influencer content covers the end-date logic. For payment treatment, see TDS and GST on influencer payments. This is general information, not legal or tax advice.
Stage 5: review and decide
A 45-minute review is enough if the one-page summary went out first.
| Item | Minutes | Output |
|---|---|---|
| Numbers: range, cost against plan | 10 | Agreement on what happened |
| Creators: scorecard | 10 | Rebook, change scope, test again or drop |
| Creative: what held attention and what sold | 10 | Three changes for the next brief |
| Money and rights: close-out status | 5 | Anything unsigned gets an owner and a date |
| Decisions | 10 | Budget, mix, next test |
Leave with three written decisions: the budget range for the next wave, the mix of tiers, formats and languages, and one hypothesis to test with a way to read it. If leadership needs the result, our leadership reporting guide shows how to compress it to one page.
The learnings log
Every learning gets a row, so it survives a change of team.
| Learning | Evidence | Confidence | Action | Owner |
|---|---|---|---|---|
| Regional-language posts converted at lower cost than Hindi in one cluster | ₹610 against ₹790 per order, 9 and 8 posts (made-up) | Low: one cluster | Repeat in two clusters next wave | Strategist |
| Creator ads beat brand-made ads on the same audience | ₹620 against ₹760 per purchase, 4 ads each (made-up) | Medium | Move 40% of next budget into creator ads; ask for rights options on the top three | Media lead |
| Two creators posted late and fell short of forecast views | 2 of 16 posts (made-up) | Medium | Earlier approval deadline; make-good clause | Creator manager |
Stage 6: archive
Keep one folder per campaign with the same structure every time, so campaigns can be compared and your own benchmarks can be built; see influencer marketing benchmarks in India for why that matters.
| Folder | Contents |
|---|---|
| 01 Brief and plan | Brief, creator plan, targets, definitions |
| 02 Contracts and rights | Signed contracts, rights ledger, renewal prices |
| 03 Proof | Insights screenshots, exports, ad reports, live URLs |
| 04 Analysis | The locked sheet, audit notes, scorecard |
| 05 Report | The one-page summary and the full report |
| 06 Learnings | The log and the decisions taken |
Name files with the campaign, creator ID and date. The live tracker behind the numbers can follow our dashboard template.
The day-90 refresh
| Check | Why |
|---|---|
| Repeat purchase and early LTV | The first-order view understates; see LTV and CAC |
| Branded search decay | How long the effect lasted, which sets the next wave's date; see measuring awareness |
| Ad fatigue and rights expiries | Retire assets and renew winners |
| Benchmark update | Add the campaign to your medians |
Mistakes to avoid
- Analysing before the data is locked. Late orders change the result.
- Skipping the audit. The first wrong number costs more trust than the audit costs time.
- Ranking creators on tiny counts. Mark them test again.
- Showing only the best creators. The failures carry the lessons.
- Leaving rights end dates unowned. Ads run on after the right ends.
- No written decision. A review without one is a meeting.
- Keeping learnings in people's heads. Log and archive them.
If you want this checklist run for you, with the data locked, audited and turned into decisions, send us a brief. Our influencer marketing strategy service covers audits and plans, and the performance influencer marketing service runs weekly reporting. The rates guide covers what each line should cost.
Sources
- ASCI annual complaints report 2025-26: influencer ads processed and share needing modification, Advertising Standards Council of India (28 May 2026)
- The ASCI Code and guidelines for influencer advertising in digital media (disclosure labels, placement, shared responsibility), Advertising Standards Council of India (accessed 31 Oct 2026; Addendum II 6 Mar 2025)
- Coverage of a 2026 India creator-economy report: brand survey on revenue targets and campaign-by-campaign judging, Campaign India (21 May 2026)
Frequently asked questions
What should a post-campaign analysis of an influencer campaign include?
Result against target as a range, cost against plan by line, a creator scorecard with a minimum-sample rule, pooled cuts by tier, format and language, creative learnings, creator ads against brand ads, audience quality, and a compliance, rights and payments close-out. It ends with decisions and a learnings log.
When should I run the post-campaign analysis?
Take snapshots at day 7 and day 30 after each post, lock the data when your attribution window closes, and analyse in the days after. Then refresh around day 90 for repeat purchase, branded search decay and ad fatigue. Fix these dates in the brief so nobody analyses a half-finished window.
How do I check influencer campaign data before analysing it?
Reconcile tagged and untagged orders to the store total, make sure each order is credited once, remove test orders, net out returns, run a code leak check and confirm UTM values follow your naming convention. Any gap should be explained, not rounded away. Our UTM guide covers naming.
Who should attend the campaign review meeting?
The brand lead, the person who owns the numbers, the agency or creator manager, and someone from finance when budget decisions are on the table. Keep it to 45 minutes: numbers, creators, creative, money and rights, then decisions. Send the one-page summary beforehand.
What should I do with the learnings from a campaign?
Write each into a log with the evidence, a confidence level, the action and an owner, then put the actions into the next brief. A learning that stays in one person's head is lost when the team changes. Archive the data too, because it becomes your own benchmark set.
How do I decide which creators to rebook?
Sort them into rebook, rebook with a changed scope, test again and drop, using cost per result, audience fit, compliance and delivery. Do not rank anyone below about 25 conversions; mark them test again. The campaign report template shows a scorecard with the decisions filled in.