How to Pick Content Creators for Your Brand: A Scoring Rubric With a Worked Example

Picking creators for a brand is an investment decision, not a taste decision. Done well, a micro influencer converts better than a mega for a tenth of the cost. Done poorly, a whole campaign dilutes around a single bad pick. This guide lays out the rubric the Lizza team uses when helping brands evaluate candidates and applies it to a concrete example.

The 5-criteria rubric

#	Criterion	What to measure	Weight	Passes if
1	Audience fit	Geographic, demographic, and behavioral overlap with your ideal customer	30%	Overlap >= 60%
2	Real engagement rate	(Likes + comments) / followers averaged over last 12 posts	25%	3% to 12% depending on tier
3	Past content quality	Production, tone, clarity, and consistency	20%	8 out of 10 posts are brand-publishable
4	Measurable authenticity	Bot, pod, or purchased-follower signals	15%	No alerts in audit tools
5	Willingness to collaborate	Quality of initial reply, rate transparency, contract willingness	10%	Reply in 72h and media kit available

A candidate passes when they reach 70 or above (out of 100) and clear every individual threshold. Below 70, drop them.

Criterion 1: audience fit (not just niche)

Audience fit is the strongest predictor of conversion. A creator with 8% engagement on the wrong audience is worth less than one with 3% on the right audience. Always ask for the media kit with: geographic distribution (country, city, top 5 cities), audience age and gender, top 5 interests by platform, and primary device (Android vs iOS, which correlates with purchase power in Mexico).

Compare these data points against your ideal customer. If your product is premium skincare in CDMX for women aged 25-35, a creator with a 70% female audience but 60% based in Central America fails the fit, no matter how good her content is.

Criterion 2: real engagement, not followers

Real engagement rate: sum likes and comments from the last 12 posts, divide by followers, multiply by 100, then average. That is the candidates average ER.

Healthy ranges by tier in Mexico, 2026:

Tier	Followers	Healthy ER
Nano	1K-10K	5%-12%
Micro	10K-100K	3%-8%
Macro	100K-1M	1%-4%
Mega	>1M	0.5%-2%

ER above the range usually signals pods (creator groups that comment on each others posts) or bots. ER below the range signals inactive or purchased followers.

Criterion 3: past content quality

Review the candidates last 30 posts. Count how many would be brand-publishable without retouching. Pass if 8 out of 10 are publishable. If fewer than 5, the brand will need to invest creative direction time that cuts into program ROI.

Check tone consistency too. A creator who posts a polished Reel on Monday and a low-quality meme on Tuesday will be hard to integrate into a brand-standard campaign.

Criterion 4: measurable authenticity

Three signals detect a creator with inflated audience. First, repetitive generic comments (single emojis, "great post") that do not respond to the post content. Second, abrupt jumps in the follower-growth curve (a 10K spike in a week with no known viral collaboration is a red flag). Third, imbalance between story reach and post likes (if stories pull 5K views but posts only get 200 likes on a 50K account, the followers are not active).

Useful tools: HypeAuditor (individual audits), Modash (bot-rate filters), and Lizzas internal panel for creators already inside the platform.

Criterion 5: willingness to collaborate

This criterion is qualitative but predicts operational problems. Score the initial reply on three dimensions: time (replies within 72 hours of first contact), clarity (sends media kit and rates without being asked twice), and willingness to sign (accepts a simple contract, does not block measurement).

A creator who takes 10 days to reply and refuses to sign a simple contract will slow down any campaign, no matter how creatively strong they are.

Worked example: evaluating 3 candidates for a skincare campaign

Case: DTC skincare brand in Mexico City. Ideal customer: woman 25-35, mid-to-upper income, lives in CDMX or GDL. Budget: 80,000 MXN for a pilot campaign. Target tier: micro (10K-100K).

Candidate	Audience	Real ER	Content quality	Authenticity	Willingness	Total	Decision
Creator A (45K)	78% MX, 60% CDMX, 80% female, 25-35 dominant	6.2%	9/10 publishable	No alerts	Replied in 24h, full media kit	92	Hire
Creator B (78K)	62% MX, top city Monterrey, 75% female, 25-40	4.1%	7/10 publishable	No alerts	Replied in 5 days, no media kit	64	Drop
Creator C (32K)	45% MX, 30% Central America, 85% female, 20-30	9.8%	8/10 publishable	Minor alert: 11% bot rate	Replied in 24h, open to contract	58	Drop

Decision: hire Creator A. Allocate 50,000 MXN to fee and the remaining 30,000 MXN to paid-usage rights. Keep the other two on a watchlist for a second wave, not permanent disqualification.

When to use a platform vs direct DM vs agency

Three paths to manage the process. The practical rule depends on monthly budget.

Monthly budget	Recommended path	Why
Under 30,000 MXN	Platform	Discovery, contracts, and payments already integrated; brand team time is scarce
30,000 to 150,000 MXN	Platform or agency, depending on team	If there is an in-house marketer with time, platform. If not, agency that manages everything
Above 150,000 MXN	Agency or in-house team	Volume justifies a dedicated team or a bench partner

Direct DM to creators only works when you already have a prior relationship. For cold discovery, it usually costs more in time than the commission saved.

About this data

The ranges and observations come from Lizzas aggregated operation in Mexico (2024-2026, n above 1,000 campaigns). No data identifies individual creators or brands. For methodology questions or removal requests, write to privacy@lizza.ai.

If you need to evaluate and hire creators in Mexico with less friction, see how Lizza filters creators by audience, real engagement, and collaboration readiness. Get started with Lizza.