Interview scorecard template

Influencer Marketing Manager interview scorecard

Evaluate Influencer Marketing Manager candidates across 4 weighted areas: campaigns that performed, measurement and testing, audience and segmentation, and working with the business. Campaigns that performed leads at 30%, so ask for named creator campaigns they ran: budget, tiers used (nano to macro), platforms, and results in EMV, CPM, promo code redemptions. Use the rubric to compare role-specific evidence consistently.

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marketing growthaffiliate trackingcreator partnershipsinfluencer marketingugc
TL;DR
For campaigns that performed, look for evidence the candidate names specific creators and campaigns, cites paid versus gifted spend, and reports EMV, CPA or code-driven revenue against targets. For measurement and testing, look for evidence the candidate runs holdouts or code-level attribution, tests hooks and formats across creators, and admits which campaigns underperformed with the data. Apply the written 1–5 anchors to every answer, record the evidence behind each rating, and use the factor weights to reach a consistent overall assessment.
Complete evaluation framework

What to assess and how to score it

Review the evidence signals before interviewing. Then use the anchored descriptions—not instinct alone—to choose the score that best matches each answer.

01
Evaluation factor

Campaigns that performed

30% weight

Ask for named creator campaigns they ran: budget, tiers used (nano to macro), platforms, and results in EMV, CPM, promo code redemptions or attributed revenue.

Evidence to listen for

  • Names campaigns or programmes they ran, with the metric they moved and the baseline it moved from
  • Distinguishes their own work from the team's or the agency's
  • Knows the audience and the offer, not just the channel
  • Can describe a campaign that failed and why

Five-point scoring guide

1
Poor

No numbers; describes activity rather than results.

2
Needs Improvement

Vanity metrics only; attribution to their own work is unclear.

3
Satisfactory

Real campaigns with some numbers; baselines often missing.

4
Very Good

Named campaigns with metric, baseline, and clear personal ownership.

5
Excellent

Names specific creators and campaigns, cites paid versus gifted spend, and reports EMV, CPA or code-driven revenue against targets.

02
Evaluation factor

Audience and segmentation

25% weight

Probe how they source and vet creators: audience overlap checks, fake follower audits via Modash or HypeAuditor, engagement rate thresholds, and brand safety screening.

Evidence to listen for

  • Describes real customer segments and what differs between them, not demographic guesses
  • Has built lifecycle stages, journeys, or nurture logic that reflect actual behaviour
  • Knows where the audience data comes from and its limits
  • Writes for the segment rather than for everyone

Five-point scoring guide

1
Poor

One message for everyone; no segmentation thinking.

2
Needs Improvement

Segments by demographics only; no behavioural insight.

3
Satisfactory

Workable segmentation; lifecycle logic is basic.

4
Very Good

Behaviour-driven segmentation and lifecycle design with evidence behind it.

5
Excellent

Describes concrete vetting criteria, catches inflated audiences with named tools, and matches creator demographics to actual buyer segments.

03
Evaluation factor

Measurement and testing

30% weight

Test measurement discipline: UTM and affiliate link hygiene, whitelisting or Spark Ads performance, incrementality tests, and how they separate creator impact from paid social.

Evidence to listen for

  • Tests deliberately rather than changing everything at once
  • Understands attribution limits and does not overclaim
  • Knows what sample size and duration a test needed
  • Can name a test whose result contradicted what they expected

Five-point scoring guide

1
Poor

No testing; claims credit for correlation.

2
Needs Improvement

Runs tests but reads them badly; overclaims attribution.

3
Satisfactory

Tests sensibly; rigour drops under deadline pressure.

4
Very Good

Disciplined testing with honest attribution and a result that surprised them.

5
Excellent

Runs holdouts or code-level attribution, tests hooks and formats across creators, and admits which campaigns underperformed with the data.

04
Evaluation factor

Working with the business

15% weight

Assess how they handle contracts, usage rights, FTC disclosure compliance, briefs, and pushback from legal, brand, or creators over edits and payment terms.

Evidence to listen for

  • Works with sales, product, or operations rather than throwing campaigns over a wall
  • Briefs designers and writers well enough to get usable work
  • Manages agencies or freelancers to a standard
  • Reports results to leadership without spin

Five-point scoring guide

1
Poor

Works in isolation; reports only flattering numbers.

2
Needs Improvement

Limited coordination; briefs are thin.

3
Satisfactory

Coordinates adequately; reporting is honest if basic.

4
Very Good

Strong partner to sales and product; briefs and reports clearly.

5
Excellent

Owns contracting and disclosure standards, keeps creators shipping on deadline, and negotiates whitelisting rights without damaging the relationship.

Evidence-led prompts

Interview questions for a Influencer Marketing Manager

Use these prompts to surface evidence for the weighted factors above and compare candidates against the same role-specific criteria.

  1. 01

    Can you describe your experience with influencer marketing?

  2. 02

    Can you provide examples of successful campaigns you have managed and their results?

  3. 03

    Can you provide an example of a time when you improved performance mid-campaign?

  4. 04

    Can you explain your process for identifying and vetting potential partners?

  5. 05

    What types of creators have you worked with? Can you give examples?

See the complete Influencer Marketing Manager question set
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