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Client work

Client work · 2026

Creator program, 30+ creators, run end to end

Paid freelance engagement running a 30+ creator program end to end: sourcing, briefing, delivery, and the reporting layer that kept it measurable. Engagement rose 25-40% and campaign ops got roughly 30% faster.

Provenance

Client work

Client

Freelance client (anonymized, DTC lifestyle)

Industry

DTC · Creator marketing · Paid engagement

Role

Freelance Growth Marketing & Content Strategist

Year

2026

Overhead view of a creator campaign desk: phone on a ring-light tripod, content calendar, analytics dashboard.

Case Study · 01

"Creator selection is a data decision, not a taste decision. Audience overlap and engagement quality predicted performance far better than follower count, and the brief was what protected the brand once volume went up."

Objective

Turn scattered one-off creator posts into a repeatable program that could scale creator count without scaling coordination overhead, and prove the result in numbers the client could act on.

Result

Average content engagement up 25-40% across the program, a 30+ creator roster running simultaneous campaigns without breaking process, and roughly 30% improvement in operational efficiency after the workflow rebuild.

Deliverables

  • ·Creator sourcing criteria and vetted roster (30+ creators)
  • ·Brief template with hook, format, and non-negotiables per creator tier
  • ·Outreach, onboarding, and delivery tracker
  • ·Weekly performance report (reach, engagement, conversions)
  • ·Post-campaign optimization notes feeding the next cycle

Skills applied

Influencer programsCampaign operationsCreator briefingPerformance analysisContent strategy

Challenge

Creator programs rarely fail at launch. They fail in week three, when briefs drift, deliverables slip, and nobody can say which creator actually moved anything. The client had creators but no system underneath them.

Insight

Creator selection is a data decision, not a taste decision. Audience overlap and engagement quality predicted performance far better than follower count, and the brief was what protected the brand once volume went up.

Strategy

  • Score creators on audience overlap and engagement quality rather than reach.
  • Standardize the brief so every creator gets the same non-negotiables and their own creative latitude.
  • Instrument the program before launch so reporting is a byproduct of the workflow, not a scramble at the end.
  • Reallocate spend and slots mid-flight based on live engagement, not post-campaign hindsight.

Execution

  • Built the sourcing shortlist and vetted 30+ creators against overlap and engagement-quality criteria.
  • Wrote tiered briefs and ran onboarding so first drafts landed usable instead of needing a rewrite.
  • Ran outreach, contracting, delivery chasing, and approvals through a single tracker.
  • Reported weekly on reach, engagement, and conversions, and shifted creative direction inside the same campaign cycle.

Outcome

  • 25-40% lift in average content engagement across the program.
  • Roughly 30% improvement in campaign operational efficiency.
  • 30+ creators running concurrently without added coordination headcount.

Key Learnings

  • The tracker is the strategy. Without it, creator volume becomes chaos by week three.
  • Mid-flight reallocation beat any amount of pre-launch planning.
  • Clear non-negotiables in the brief produced more creative freedom, not less.

What I Would Do Next

  • Layer whitelisting on the top-performing creators to extend reach with paid support.
  • Build a creator scorecard that carries performance history between campaigns.
  • Test always-on retainer creators against campaign-burst creators on cost per engaged view.

Next case study

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Self-initiated passion project (not client work)