Delegated 04/09/2026 05:00 · Campaign: `kfc-zinger-affiliate` (brand `kfc-th`, KFC Thailand, market TH, currency THB).
Campaign: `kfc-zinger-affiliate` (brand `kfc-th`, KFC Thailand, market TH, currency THB).
CONTEXT YOU NEED (you cannot see my history):
Always-on AFFILIATE program. Brief: "each creator gets a personal Zinger code (THB 20 off in-app). Commission 8% of attributed order value. Content is theirs; disclosure is mandatory." Flight 2026-10-01 → 2026-12-31. Budget THB 900,000 approved, of which only ~THB 8,557 (0.95%) has been consumed — the program is materially under-subscribed and needs a wider roster.
THE COMMERCIAL SHAPE MATTERS FOR WHO YOU SHORTLIST. The mandate is:
- maxFeePerCreator: **0** — there is NO upfront cash fee. Commission only.
- commission **8%** of attributed order value; anything above 8% is an automatic walk-away.
- usage rights: none. exclusivity: 0 days.
- deliverables: personal code + **≥2 posts/month**, sustained across the flight.
So we are recruiting creators who will work for **performance upside only, with no guaranteed money, no exclusivity lock, and a recurring monthly posting commitment**. That is a very different profile from a paid-UGC creator. Prioritise accordingly: creators whose audience actually converts on food offers, who post frequently and consistently, who have a track record with codes/affiliate links, and whose follower base is genuinely Thai and in-market for KFC delivery. Raw reach is close to worthless here — a 2M-follower creator whose audience does not redeem is worse than a 50k creator whose audience does. Weight conversion signals and posting cadence above follower count, and say so in your scoring.
CURRENT ROSTER — exclude all six from your results, they are already on the program:
nong_eats (TikTok 412k, ER 6.1), beam.plays (YouTube 640k, ER 3.1), fern.fit.th (Instagram 310k, ER 5.6), pimpim.kitchen (Instagram 188k, ER 4.4), kwan.daily (Instagram 95k, ER 7.9), ploy.makes (TikTok 38.4k, ER 7.2).
Also exclude creators already engaged on the sibling KFC campaigns to avoid cross-campaign collision: mook.mukbang, ohm.streetfood, jjay_allday, sarayut_bunpakhom, domonreview, evejirayu, bkk.nightowl, mawin_twp, tar_review.
BRAND SAFETY — read `/mnt/memory/brand-rules/kfc-th/` (brand-rules.md, do-not.md, tone.md) BEFORE scoring, and screen against the do-not list. Specific disqualifiers worth checking for on this brand: alcohol content, competitor QSR partnerships (McDonald's TH, Burger King TH, Texas Chicken, Bonchon, Five Star, Zhengxin), "spicy challenge"/pain-reaction or speed-eating formats (explicitly banned for KFC TH — the Zinger is hot, it is not a stunt), health/diet claims framing, religious or royal imagery, and eating-while-driving/on-a-motorbike content. Note that one existing roster creator is a fitness creator, which makes the health-claim rule a recurring risk in this category — flag any prospect where that risk is elevated.
Competitive context from `/mnt/memory/brand-health/kfc-th/latest-digest.md`: KFC holds 52% SOV; Bonchon (14%, rising) is expanding hard post-acquisition and increasing creator partnerships. Flag any prospect with recent or current Bonchon ties.
WHAT TO DELIVER:
- A ranked prospect list. For each: fit score, an explicit **confidence level**, and the evidence behind the score — do not give me a number without the reasoning. Where you are inferring rather than observing (e.g. estimating conversion propensity without redemption data), say so.
- A recommended shortlist size, and a spread across TikTok / Instagram / YouTube with your reasoning about which platform earns its place in an in-app-code affiliate program in Thailand.
- Explicitly call out any prospect you would NOT approach and why.
- Save the list using your save tool.
HARD CONSTRAINT: do NOT share anything with the client. That is a human gate and I have not authorised it. Save the list and report to me only.
REPORT BACK TO ME: the ranked shortlist with scores, confidence and one-line evidence each; your platform-mix recommendation; any brand-safety exclusions; and an honest note on what data you could NOT get (particularly: if no redemption or affiliate-conversion history is available for these prospects, say so plainly rather than substituting reach as a proxy without flagging it).
Reported back 04/09/2026 05:09 · Discovery complete for kfc-zinger-affiliate. Saved as prospect list `pl_ba736d1fbf174585` (14 ranked items). NOT sent to client — no send_prospect_list call made, per your hard constraint.
Discovery complete for kfc-zinger-affiliate. Saved as prospect list `pl_ba736d1fbf174585` (14 ranked items). NOT sent to client — no send_prospect_list call made, per your hard constraint.
**Method:** Searched the creator index (~2,900 Thai creators) with 3 query angles (TikTok food/mukbang, IG lifestyle/food-review, budget-eats/promo-code). Pulled full audience reports on 14 candidates. Excluded all 6 current roster creators and all 9 sibling-campaign creators as instructed. Read `/mnt/memory/brand-rules/kfc-th/` (do-not.md, brand-rules.md, tone.md) and `/mnt/memory/brand-health/kfc-th/latest-digest.md` before scoring.
**Top 5 (of 10 ranked "approach" candidates + 4 flagged/excluded, 14 total saved):**
1. **@foodie.onduty** (TikTok, 21.6k) — 82/100, conf 0.6 — explicit Food&drink niche, 98% Thailand audience (best of any candidate), ER 4.66%, cadence 3.8 posts/wk.
2. **@indybuffet** (TikTok, 26.1k) — 79/100, conf 0.6 — explicit Food&drink, best TikTok audience-credibility score (0.386, i.e. least bot-suspect).
3. **@paikubmiew** (TikTok, 81.5k) — 77/100, conf 0.55 — best posting cadence of the pool (6.1/wk), content category not independently confirmed as food.
4. **@yimvanofficial** (TikTok, 657k) — 76/100, conf 0.5 — largest reach in the shortlist, strong audience signals (96% TH, credibility 0.365), but category unconfirmed — flagged for manual check before a code goes out given the size.
5. **@gindaieek.bkk** (Instagram, 277k) — 70/100, conf 0.55 — highest audience-credibility score of ANY candidate (0.812) and highest food-interest weighting (26.9%), but engagement rate is low (0.52%) — genuine audience, weak engagement, worth watching in month 1.
**Full ranked order also includes** (with scores): @tongngng 68, @reviewnewthing 63, @nutcheckpro 55 (flagged — 16.6% Brazil audience share, implausible for a Thai account), @promotiontheeshop 52 (1.7M followers but only 1.72% ER — the exact reach-without-conversion pattern you told me to weight against; included only as a cautious trial), @hungrybearrr 50 (lowest TikTok food-niche credibility score, unusual audience skew).
**Explicitly NOT recommended:**
- **Golfy_Pleunpung** (TikTok, 474k) — lowest audience-credibility score of the entire pool (0.115), an implausible India/Iraq audience mix for an organic Thai account, and a buffet/large-quantity-eating content format that sits adjacent to the do-not-list's ban on quantity/speed-eating framing. Do not approach.
- **3 YouTube candidates** (chonstyly, fai_kiki, painai.deewa) — `creator_report` returned `audience: null, safety: null` for all three; I have zero verification of Thailand share, age fit, or safety for any YouTube prospect this round. Scored 26-30 to reflect the data gap, not a known problem.
**Platform-mix recommendation:** Weight new outreach toward **TikTok** (4-6 of the shortlist) — cadence naturally clears the ≥2 posts/month bar, food/deals content is native to the platform culture, and every strong pick clears 90%+ Thailand concentration. Give **Instagram** a smaller supporting role (gindaieek.bkk is the one worth it, on audience-quality grounds, not engagement). Hold **YouTube** entirely this round — no usable audience data, don't commit a code there without a direct platform-level audience pull first. Suggested shortlist size for this expansion round: **8** (top 5 above + 3 of the mid-tier TikTok/IG picks), leaving nutcheckpro/promotiontheeshop/hungrybearrr as a reserve bench, not a first wave.
**What I could NOT verify (say so plainly, as instructed):**
- **No redemption or affiliate-conversion history exists for any candidate.** `creator_search` and `creator_report` expose no conversion/redemption field at all — I built every score from audience-credibility, Thailand%, age fit, engagement rate and posting cadence as *proxies* for conversion propensity, not observed performance. This is stated in every item's evidence/why, not just here.
- **No brand-affinity/competitor-tie data was returned by `creator_report`** for any candidate, despite the tool description implying it exists. I cannot programmatically confirm or rule out Bonchon ties for anyone on this list, even though the brand-health digest specifically flags Bonchon's expanding creator-partnership activity. Recommend a manual recent-post check before contracting, especially the top 5.
- Content category (food-relevance) is unconfirmed by index metadata for 3 of the top 5 (paikubmiew, yimvanofficial, tongngng) — flagged individually with reduced confidence.
Saved full reasoning to `/mnt/memory/campaign-memory/kfc-zinger-affiliate/plan.md` for the next session. Let me know if you want me to widen the search further (e.g. explicitly hunt for YouTube creators with pullable audience reports) or narrow to a specific platform.