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Playbook · Reporting · 20 min

Compare creators after the campaign to pick the next shortlist

Anyone planning the next campaign with last campaign's numbers in a sheet.

Short answer

With post metrics refreshed and spend per creator in the sheet, rank creators on three things: cost per engagement, reach versus their usual average reel views (over-delivery is the real signal), and revenue by code if you have it. Rebook the top third, drop the bottom third, and run lookalike profiles from the top two to fill the gap with similar accounts. Insight reports on the newcomers keep audience fit and price honest. Each campaign makes the next shortlist better.

You need

  • A measured campaign in a sheet
  • Profile metrics (average reel views) for each creator

Step by step in Zaver

  1. 1

    Three scores per creator

    Cost per engagement; views divided by average reel views; code revenue. Rank on each.

  2. 2

    Decide thirds

    Rebook the top third; keep the middle on watch; drop the bottom third with a reason noted.

  3. 3

    Expand from the winners

    Tools → Lookalike profiles from the top two creators, one hop, same size band.

  4. 4

    Vet the newcomers

    Insight reports on the ten best lookalikes: audience fit, authenticity, fair price.

  5. 5

    Lock the new shortlist

    Rebooked creators plus vetted lookalikes become the Scouting tab for next time.

Or ask it in ChatGPT or Claude

With Zaver connected as an MCP server, the whole job is one message. Your assistant calls run_data_tool behind the scenes.

rank the creators in my Deliverables tab by cost per engagement and by views versus their average reel views, then find lookalikes of the top two

Not connected yet? Set it up in about a minute.

Where it is in Google Sheets

The menu path, step by step. Labels match the Zaver.one add-on.

  1. Radar Tools page: each tool with Schedule and Run buttons
    1 Radar → Tools: run once or on a schedule; results land in a connected Google Sheet or a CSV.
  2. Creator insights page with a list of reports showing health, followers, engagement rate, authenticity and fair price
    2 Radar → Insights: one row per report with health, engagement rate, authenticity and the fair price.

What you get

Input: 12 creators · Q3 campaign

CreatorCost / eng.Reach vs usualCode salesDecision
@sk***by.m$0.082.0×$410rebook · seed lookalikes
@glow***na$0.101.3×$2,140rebook
@big***fit$0.410.6×$0drop

Illustrative sample. Handles are masked; numbers show the shape of a real result, not a specific account.

Cost

Lookalikes 25 credits per 1,000 profiles; insights 8–10 per creator.

Plans and credits

Limits

  • Reach versus usual needs a profile refresh for average reel views
  • Revenue attribution today uses your own promo codes or UTM links per creator, pasted into the sheet. A Shopify integration for revenue attribution is coming soon; nothing on this page depends on it.

Questions

Why reach versus usual rather than raw views?

A 20K creator who doubles her usual reach for you is a better partner than a 400K creator who halves his. Raw views reward size; the ratio rewards fit.

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