Interview scorecard template

Digital Marketing Specialist interview scorecard

Pre-screening scorecard for Digital Marketing Specialist candidates.

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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 which channels they personally ran: Google Ads, Meta, LinkedIn, email, SEO. Probe monthly budget managed, CPA or ROAS movement, and what they changed to get it.

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 owned campaigns with real budgets and cites before and after CPA, ROAS or pipeline figures they can explain.

02
Evaluation factor

Audience and segmentation

25% weight

Probe how they built audiences: lookalikes, CRM lists, keyword intent tiers, lifecycle segments. Ask which segment underperformed and how they rebuilt or cut it.

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 segments by behaviour and intent, not demographics alone, and shows how targeting choices shifted cost per lead.

03
Evaluation factor

Measurement and testing

30% weight

Test their GA4, UTM hygiene, and conversion tracking work. Ask about a specific A/B test: sample size, duration, what won, and what they did after iOS or cookie changes.

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 tests to a decision rule, admits inconclusive results, and can trace a conversion from ad click through CRM.

04
Evaluation factor

Working with the business

15% weight

Look for how they handled sales handoff on lead quality, briefed designers or copywriters, and defended spend to a founder or finance lead.

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

Cites concrete feedback loops with sales on MQL quality and reallocated budget after a business conversation, not a dashboard alone.

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