Playbook replay
Long-tail micro-influencer mining
A real session: 36 tool calls across Instagram and TikTok hashtags and profiles, ending in six under-50K creators ranked by fit rather than reach.
A real Naise session, redacted before publishing. Nothing here runs against a live account.
Every session here was run once and saved, against a demo brand or public data. On your own account Naise works from your brand voice, your campaigns and your connected channels, so it reasons about your data instead of a stand-in.
My read: the strongest under-50K PH micro pick is Creator A for actual home espresso credibility. Creator B is the best overlooked café-discovery operator. The rest are situational plays, not equal-weight shortlist picks.
| # | Creator | Followers | Avg ER | Strongest coffee signal | Niche fit | Read |
|---|---|---|---|---|---|---|
| 1 | Creator A | 14.5K | 4.57% | Espresso / home barista posts reaching 3.7K–10.6K views, with one portable espresso post at ~10.0% post ER | Home espresso, latte, grinder, brewing gear | Best match. Small enough to feel credible, niche enough for espresso equipment, local enough for PH coffee positioning. |
| 2 | Creator B | 2.7K | 7.59% | Café / coffee discovery posts: Cubao Expo café hit ~142.3K views at ~9.9% ER; Goodside Coffee post ~6.0% ER | Manila café-hunting, solo-date, hidden spots | Very overlooked. Not a pure home-espresso creator, but the audience is tight and coffee-responsive. Strong for café launch, beans, or coffee lifestyle. |
| 3 | Creator C | 9.2K | 6.74% | Cebu café recommendation surfaced at ~430.1K views, ~7.9% ER | Cebu lifestyle, café discovery, student/young female audience | Good regional micro if Cebu matters. Less espresso-specialist, more “where to go / soft lifestyle café” audience. |
| 4 | Creator D | 30.7K | 6.04% | Filipino coffee / roaster post at ~24.5K views, ~3.6% ER; BGC café content also performs strongly | Metro Manila food discovery, cafés, restaurants | Broader than ideal, but reliable. Use when you need food credibility plus coffee adjacency, not when the brief demands home-barista depth. |
| 5 | Creator E | 9.6K | 3.98% | Baguio coffee / café posts around ~4.6%–4.8% ER | Baguio local guide, food, cafés, staycations | Useful if you want a hyperlocal Baguio coffee crowd. Not a home-espresso creator, but the regional audience is tight. |
| 6 | Creator F | 1.9K | Metrics thin | Hidden café post surfaced at ~6.9M views, ~15.2% ER | MNL lifestyle, hidden café, humor | Wildcard only. The café signal is huge, but the account is not consistently coffee-led enough for a core shortlist. |
Priority order for outreach:
- Creator A for home espresso / brewing gear / specialty beans.
- Creator B for overlooked Manila café discovery and high save/share behaviour.
- Creator C if Cebu is a target market.
- Creator D if you need broader food credibility.
- Creator E for a Baguio-local activation.
I would not lead with the coffee-shop brand accounts I found, even where individual posts spiked. They can help with community seeding, but they are not as clean as creator partners for a home espresso brief.
Naise created an artifact
Six micro-creators surfaced from smaller hashtags across Instagram and TikTok, ranked on fit and engagement rather than reach.
The list
| # | Creator | Followers | Avg ER | Niche fit |
|---|---|---|---|---|
| 1 | Creator A | 14.5K | 4.57% | Home espresso, grinders, brewing gear |
| 2 | Creator B | 2.7K | 7.59% | Manila cafe discovery, hidden spots |
| 3 | Creator C | 9.2K | 6.74% | Cebu food and coffee |
| 4 | Creator D | 30.7K | 6.04% | Broader food credibility |
| 5 | Creator E | 9.6K | 3.98% | Baguio local |
| 6 | Creator F | 1.9K | Thin | MNL lifestyle wildcard |
The point of going long-tail: the smallest account on this list has the highest engagement rate, and the pick for the brief is a 14.5K creator rather than the 30.7K one. Reach would have ranked these in almost the opposite order.
Not recommended: the coffee-shop brand accounts the scan also surfaced. Individual posts spiked, but they are venues rather than creator partners. Handles are masked.
That was a sample. Run it on your own brand.
Naise reads your brand, your channels, and your market, then does this against your real data.
Run this playbook free