Zinger affiliate — roster expansion prospects (round 1, commission-only fit)Rename this list

Best overall fit for a commission-only, code-driven program: explicit Food & drink niche, the most Thailand-concentrated audience of any candidate (98%), a young in-market age skew (77% aged 18-34, the core food-delivery-app demographic), solid engagement (ER 4.66%) and a posting cadence (3.8/wk) that clears the ≥2 posts/month bar with margin. Small absolute reach (21.6k) is not a weakness here — the brief explicitly deprioritises raw reach in favour of conversion-shaped signals, and this account has the cleanest signal set of the batch. No redemption/affiliate-conversion history exists for this creator (or any candidate) — this score is built from audience/engagement proxies, not observed code performance.

• Followers 21,600
• Engagement 4.66%
• Audience in Thailand 98.0%
• Aged 18 to 34 77%
• Credibility 0.348
• Posting frequency 3.8 posts/week
• Audience aged 18-34 77.2% (49.2% 18-24 + 28.0% 25-34)
• Category Food & drink (TikTok, explicit)

Explicit Food & drink category with the best audience-credibility score of any TikTok food account screened (0.386, vs 0.17-0.35 for peers), meaning the follower base looks the least bot-inflated. Strong TH concentration (94.5%), good age fit (78.7% aged 18-34), decent engagement (3.39%) and cadence (3.1/wk, clears the monthly-2-post bar easily). Reach is modest (26.1k) but that is by design in this scoring — cadence and audience quality were weighted above follower count per the brief. No conversion/redemption data available; proxy-based score.

• Followers 26,100
• Engagement 3.39%
• Audience in Thailand 94.5%
• Aged 18 to 34 79%
• Credibility 0.386 (highest of TikTok food-niche candidates screened)
• Posting frequency 3.1 posts/week
• Category Food & drink (TikTok, explicit)

Highest posting cadence of any strong candidate (6.1 posts/week) — most likely to sustain the ≥2 posts/month deliverable across a 3-month flight without chasing. Good TH concentration (90.8%), solid age fit (78.5% aged 18-34), reasonable engagement (4.04%) and credibility (0.347). Confidence is capped below the top two because the exact content category could not be confirmed from search metadata (returned as unlabelled) — surfaced via a promo/affiliate-code-style query, but I have not verified this creator has actually run discount-code content before. Recommend a quick manual profile check before outreach to confirm food/QSR relevance.

• Followers 81,500
• Engagement 4.04%
• Audience in Thailand 90.8%
• Aged 18 to 34 79%
• Credibility 35%
• Posting frequency 6.1 posts/week (highest screened)
• Audience aged 18-34 78.5%
• Category unlabelled in index — surfaced via affiliate/promo-code query, not independently confirmed

Largest reach in the shortlist (657k) but included on the strength of its underlying signals, not the follower count: very high TH concentration (96.2%), the second-best audience credibility score of the TikTok set (0.365), strong engagement (5.87%) and good cadence (3/wk). Age skew (47% 25-34, 31.5% 18-24) sits squarely in the delivery-app-using range. Confidence held at 0.5 because, like paikubmiew, the content category is not confirmed as food/QSR-relevant from index metadata — this needs a manual check before a code is issued, since at this size a mismatch would waste the most outreach effort of any candidate.

• Followers 657,100
• Engagement 5.87%
• Audience in Thailand 96.2%
• Aged 18 to 34 79%
• Credibility 0.365
• Posting frequency 3.0 posts/week
• Category unlabelled in index — content relevance not independently confirmed

The strongest audience-quality signal in the entire pool by a wide margin — credibility score 0.812 (vs 0.11-0.45 for every other candidate) — with 'Restaurants, Food & Grocery' as the single largest interest category (26.9%) and a real Bangkok-weighted Thai geo footprint. This looks like a genuine, food-interested, largely organic follower base. The one real concern is engagement rate: 0.52% is low even by Instagram norms, which on a performance-only program means fewer people are likely to see/act on a code even though the audience composition is excellent. Scored as a quality-over-volume bet — recommended as the Instagram anchor of the shortlist, but the low ER should be watched in the first month of activity rather than assumed away.

• Followers 275,517
• Engagement 0.52%
• Audience in Thailand 88.3% country / 31.4% Bangkok city
• Aged 18 to 34 74%
• Credibility 0.812 (highest of all candidates)
• Top audience interest Restaurants, Food & Grocery — 26.9% (largest interest category)
• Posting frequency 2.5 posts/week

Highest raw engagement rate screened (9.18%) and strong TH concentration (95.9%), which is attractive, but the audience-credibility score (0.254) is on the lower half of the set, meaning a meaningful share of that engagement may come from a less-authentic follower base rather than genuine intent-to-buy. Content category is unlabelled and not independently confirmed as food-relevant. Scored as a solid but second-tier pick: good headline numbers, weaker confidence in what's behind them.

• Followers 289,900
• Engagement 9.18%
• Audience in Thailand 95.9%
• Aged 18 to 34 80%
• Credibility 0.254 (below median of set)
• Posting frequency 2.7 posts/week

Very high posting cadence (10.1/week) is a real asset for sustaining a monthly deliverable, and the Thai geo footprint is broad and provincially diverse (94.3% TH, spread across 40+ provinces, not just Bangkok), which reads as organic rather than concentrated/bought. However food is not the top audience interest (Restaurants & Food sits at 13.9%, behind fashion and beauty), engagement rate is modest (1.62%) and audience credibility (0.264) is noticeably lower than the other Instagram candidate screened (0.812). Scored as a viable but secondary Instagram option — cadence is the main draw, food-category fit is the main open question.

• Followers 76,481
• Engagement 1.62%
• Audience in Thailand 94.3%, spread across 40+ provinces
• Aged 18 to 34 85%
• Credibility 0.264
• Posting frequency 10.1 posts/week (highest screened)
• Restaurants/Food interest rank 13.9% — 5th-ranked interest, not top

Name translates roughly to 'check the promo' and the account surfaced directly on a discount/promo-code query, which is a good conceptual fit for an affiliate-code program. But the audience data raises a real quality flag: only 73.4% Thailand, with an unusual 16.6% Brazil share for an otherwise Thai-language account — a pattern consistent with partially purchased or non-organic followers. Engagement (3.07%) and cadence (2/wk, at the minimum edge of the ≥2/month requirement) are unremarkable. Would want the Brazil anomaly explained before committing a code.

• Followers 58,100
• Engagement 3.07%
• Audience in Thailand 73.4% (lowest of TikTok candidates screened)
• Aged 18 to 34 77%
• Credibility 30%
• Unexplained Brazil audience share 16.6% — anomalous for a Thai-language account
• Posting frequency 2.0 posts/week — near the minimum for the ≥2 posts/month deliverable

This is the textbook case the brief warned against: 1.7M followers but engagement rate of only 1.72% — a huge reach number sitting on top of a comparatively cold audience. Audience credibility (0.446) is actually the best of any TikTok candidate, so the followers do not look obviously fake, they simply do not appear to be an engaged audience. On a commission-only program, low engagement is a direct proxy for low click-through/redemption likelihood. Included only as a large-reach option to trial cautiously (e.g. one code, watch redemption before any further investment) — not a priority recommendation.

• Followers 1,700,000
• Engagement 1.72%
• Audience in Thailand 85.9%
• Aged 18 to 34 82%
• Credibility 0.446 (best of TikTok set, so not an obvious bot-follower problem)

Reasonable follower count and engagement (5.97%) but the weakest audience-credibility score of the mainstream TikTok food candidates (0.169), a lower Thailand concentration (86.6%, with real Cambodia/Laos share) and an unusual 83% male / 68.7% aged-18-24 skew for a food-review account. None of these are disqualifying individually, but stacked together they lower confidence that this is a clean, high-intent Thai audience relative to the top picks.

• Followers 279,400
• Engagement 5.97%
• Audience in Thailand 86.6%
• Aged 18 to 34 90%
• Credibility 0.169 (lowest of mainstream food-TikTok candidates)
• Audience gender skew 83.3% male, 68.7% aged 18-24 — unusual concentration

Search-level metrics look reasonable (ER 5.04%, cadence 4.8/wk) but creator_report returned no audience or safety data at all for this creator (both fields null) — I cannot verify Thailand share, age fit, audience credibility, or run any brand-safety screen. Scored low purely to reflect the absence of verifiable evidence, not because of any known problem. Would need a direct platform-level audience pull before this could be responsibly recommended.

• Followers 32,700
• Engagement 5.04%
• Audience in Thailand not measured
• Aged 18 to 34 not measured
• Credibility no report
• Audience report null — no data returned
• Engagement rate (search-level only) 5.04%
• Posting frequency (search-level only) 4.8 posts/week

Same data gap as the other YouTube candidates: creator_report returned null for audience and safety. Search-level ER (5.63%) and cadence (2.2/wk) are acceptable but unverified against Thailand share, age fit or audience credibility. Not recommended for outreach until audience data is available.

• Followers 40,800
• Engagement 5.63%
• Audience in Thailand not measured
• Aged 18 to 34 not measured
• Credibility no report
• Audience report null — no data returned
• Engagement rate (search-level only) 5.63%
• Posting frequency (search-level only) 2.2 posts/week

Same data gap: creator_report returned null audience/safety data. Smallest reach of the YouTube candidates and no way to verify in-market audience share. Not recommended for outreach until audience data is available.

• Followers 22,700
• Engagement 4.23%
• Audience in Thailand not measured
• Aged 18 to 34 not measured
• Credibility no report
• Audience report null — no data returned
• Engagement rate (search-level only) 4.23%
• Posting frequency (search-level only) 3.9 posts/week

NOT RECOMMENDED. Lowest audience-credibility score of any candidate screened in this round (0.115), paired with a geographically implausible follower mix for a Thai buffet-food account (4.5% India, 2.1% Iraq) that reads as bot/purchased-follower inflation rather than organic reach. Separately, this creator's core content format is large-quantity/buffet eating, which sits adjacent to the KFC do-not-list restriction on content implying the product is fine to eat unsafely quickly or in quantity (do-not.md, item 5/7) — the same category of risk already flagged on the existing roster for a different reason (fern.fit.th/health claims). Posting frequency (0.7/wk, ~3/month) is also only marginally sufficient for the deliverable. Recommend excluding rather than screening further.

• Followers 474,000
• Engagement 4.52%
• Audience in Thailand 82%
• Aged 18 to 34 78%
• Credibility 0.115 (lowest of all candidates screened)
• Anomalous geo audience India 4.5%, Iraq 2.1% — implausible for an organic Thai buffet account
• Content-format risk Buffet/large-quantity eating format — adjacent to do-not-list quantity/speed-eating restriction
• Posting frequency 0.7 posts/week (~3/month, marginal against ≥2 posts/month)