How to measure ROI on a Bangkok creator campaign
By Mai Influence
Most Bangkok brands measure creator campaigns by likes. The post hit 12,000 likes, the campaign is declared a success, the budget renews next quarter. That is not measurement, that is vanity accounting. Likes do not appear on a P&L, and they do not tell a finance team whether the 60,000 THB you spent moved any units.
This post is the honest version of campaign measurement for SEA brands using creators. What to track, what to ignore, and how to tie spend to revenue when the platform will not hand you a clean attribution number.
The attribution problem nobody mentions
Creator marketing sits in the awkward middle of the funnel. It is not direct-response like a Meta Ads click straight to a product page, and it is not pure brand-building like a billboard either. A viewer sees a Reel on Tuesday, recalls the brand on Friday, and walks into Tops on Sunday without ever clicking a link. The sale is real, the influence is real, but the tracking pixel never fired. Any measurement framework that pretends the click is the only signal will systematically undervalue everything you spent on the campaign.
The fix is not to chase perfect attribution. It is to triangulate across signals you can collect cleanly, accept that a chunk of the value will sit in the brand-lift bucket, and compare campaigns against each other rather than against a fictional 100% attribution baseline. The brands on the Mai Influence roster that consistently report strong ROI all do this triangulation. The ones that do not tend to overspend on the wrong tier and underspend on the right one, then quietly stop reporting after quarter two.
What to actually track
Five signals carry the weight. Likes are not one of them.
- Promo code redemptions. A unique code per creator is the cleanest direct line you have. Set the code in the brief, make it stupid to spell (creator first name plus a number), and track redemptions weekly. Expect 0.3 to 1.5% of the post's view count to redeem on a well-priced product.
- UTM-tagged link clicks. Stories with link stickers and bio-link clicks give you the second clean number. Pair the UTM with a 7-day view window in GA4 and do not argue with the data.
- Saves and shares, not likes. Saves indicate the audience wants to come back. Shares indicate they want a friend to see it. Both are stronger intent signals than a like, and the Meta and TikTok algorithms now weigh them heavier in distribution.
- Branded search lift. Set a Google Trends bookmark for your brand name before the campaign starts. A 20 to 60% lift in branded search volume during the campaign window is a serious signal that the post moved attention.
- Comments-to-DM ratio. Ask the creator to pass along DM screenshots, sender details blurred. When a campaign generates more DMs to the creator about your product than comments on the post itself, you have hit real consideration.
The measurement window question
Most Bangkok brands measure too fast. They check Day 3 engagement, declare a verdict, and pivot. Creator content has a longer tail than paid social, particularly on Reels and TikTok where the algorithm reseeds older posts when engagement spikes. Set the measurement window to match the format: 14 days for Reels, 21 days for TikTok, 7 days for Stories. Anything shorter and you are judging a campaign before it is finished happening.
A Bangkok F&B brand we worked with judged a Reel a flop on Day 4 with 8,000 views. By Day 18 the same Reel was at 140,000 views and had driven the highest promo-code week of the quarter. The brief was right, the patience was wrong.
The other side of patience: if Week 1 promo redemptions are zero across multiple creators in the same campaign, the issue is rarely the creators. It is usually the offer, the landing page, or the price. Diagnose that before re-briefing the next round.
Building the post-campaign report
A useful campaign report fits on one page and answers four questions. Cost per engaged view, cost per promo redemption, branded search lift, and qualitative reads from comments and DMs. Skip the slide that lists every individual post's like count. The finance team does not read it, and the marketing team already knows.
Compare every campaign against the prior one, not against an imaginary benchmark. Bangkok creator rates and engagement rates vary by category, and trying to hit a "5% engagement rate" target without knowing your category baseline is how brands end up firing creators who were actually fine. The Bangkok creator rates guide gives you the rate baseline; the micro vs macro breakdown gives you the engagement baseline for each tier.
When measurement tells you to stop
Three signals say a campaign is done, not that it needs more budget. Promo redemptions drop below 0.1% of views for two consecutive weeks. Branded search returns to baseline within five days of the last post. Comments shift from product questions to general engagement chatter. When all three line up, the audience has moved on. Spending more on the same creators at that point is rebuying attention you already had.
The marketplace structure on Mai Influence is built for the next move. Post a fresh brief with the learnings from the campaign you just measured, and a new roster of creators sends offers within the platform. Stripe holds the budget in escrow until each post is delivered, so the measurement loop closes cleanly between campaigns instead of leaking into endless invoicing.
FAQ
What is a realistic ROAS for Bangkok creator campaigns in 2026? Reported ROAS on the Mai Influence roster sits between 1.8x and 4.5x for well-targeted FMCG campaigns and 0.8x to 2.2x for brand-building work where the goal is awareness rather than direct conversion. Anything above 5x is either a hit product or sloppy attribution.
How long should the measurement window be? Match the format. Fourteen days for Reels, twenty-one days for TikTok, seven days for Instagram Stories. Shorter windows undercount the algorithmic tail; longer windows pull in noise from unrelated campaigns running in parallel.
Should I track likes at all? Track them for context, ignore them for decisions. A high like count with low saves and shares means the post looked good but did not earn intent. A lower like count with strong saves often outperforms on conversion.
What is the easiest measurement to set up before a campaign launches? Unique promo codes per creator and a UTM-tagged bio link. Both take under ten minutes to configure and give you the two cleanest signals you will have for the rest of the campaign.
Do macro creators justify higher rates on a per-redemption basis? Rarely on pure conversion campaigns. Macro creators earn their rates on launch moments, retail credibility, and branded search lift. If the only goal is promo-code redemptions, the per-redemption cost on micro creators is usually 30 to 60% lower.
