Vetting a Creator Shortlist for Brand Fit

Marketing Academy · Field Work●Social Media Marketing

All projects·From: Influencer & Creator Marketing

MiniAudit· 35 minutes

Zomato

Objective: Given a real 10-creator shortlist with follower counts, engagement rates, and audience data, apply the lesson's four fit signals to decide who actually deserves outreach.

You're the creator marketing lead for Zomato launching a premium subscription push. Your agency sent a 10-creator shortlist sorted by follower count, and you have budget for 4 partnerships.

Re-rank the shortlist using audience overlap, rolling engagement, comment quality, and brand safety, not raw follower count.

Before you start

What you'll need

Free path (everything below is enough to finish)

Google Sheets

FreeRe-rank the shortlist against the four fit signals

Free, handles a 10-row creator comparison without new software

The process

1 step

Step 01 of 01

Vetting creators by fit signals instead of follower count

The lesson names four signals that predict campaign success: audience overlap with your ICP, rolling 30-day engagement (not lifetime average), comment quality, and a 90-day brand safety review.

Creator #3 on the agency list has 480k followers and a 2.9% lifetime engagement rate. Creator #7 has 62k followers and a 6.1% rolling-30-day engagement rate with buying-intent comments. Which one gets outreach first, and why?

Google Sheets— Import creator-shortlist.csv, add columns for rolling engagement, audience-overlap %, and a brand-safety flag.

Procedure

Import creator-shortlist.csv and re-sort by rolling 30-day engagement, not follower count
Cross-check each finalist's stated audience demo against Zomato's ICP (urban, 22-38, food delivery users)
Scan the last 10 posts of each finalist for comment quality: buying questions vs. emoji-only reactions
Flag any creator with a competitor mention or controversy in the trailing 90 days

Sample output

Re-ranked shortlist (top 4 of 10)
  1. foodie_reels_kavya   62k followers  6.1% rolling engagement  ICP overlap 78%  comments: buying questions  SAFE
  2. citybites_dev        41k followers  5.4% rolling engagement  ICP overlap 71%  SAFE
  3. megafoodblogger_x    480k followers 2.9% lifetime engagement ICP overlap 44%  FLAGGED: competitor mention (Swiggy) in last 60 days
  4. tiffin_talks_priya   58k followers  5.8% rolling engagement  ICP overlap 69%  SAFE

Healthy

The final 4 picks are the highest rolling-engagement, highest-ICP-overlap creators, and the flagged competitor-mention creator is dropped regardless of reach.

Unhealthy

Picking the 480k-follower creator anyway because the reach number looks better in a slide deck.

What this means

Reach without fit is just an expensive impression; the four signals filter for actual conversion likelihood.

So what do I do about it?

Symptom	Action	Effort
A high-follower creator has a competitor mention in the last 90 days	Drop them from the shortlist regardless of reach or price	5 min
A creator's engagement rate is quoted as a lifetime average	Request or calculate the rolling 30-day rate before trusting the number	30 min

YouYou can do this yourself, no engineering access required.

Final deliverable

A re-ranked 10-creator shortlist with rolling engagement, ICP overlap, comment-quality notes, and brand-safety flags, plus a final 4-creator outreach list.

See a reference example

Sample output

Swiggy Instamart, Q3 creator shortlist audit (excerpt)

OUTREACH (4 picks)
  1. quickgrocery_tanvi   54k followers  5.9% rolling engagement  SAFE

DROPPED
  megamart_reviews_x     390k followers 2.4% lifetime engagement  FLAGGED: competitor mention

Success criteria

You're done when you can:

Re-ranks creators by rolling engagement, not follower count or lifetime average
Checks audience overlap against a stated ICP
Flags at least one creator for a brand-safety or competitor-mention issue