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Campaign retro

What actually moved the market last quarter. Customer reactions, engagement, and the decisions behind each campaign, cited.

Best forQuarterly campaign review
PrimitivesInteractionsOutcomesDecisions

Side by side: token usage, with and without Paperbase

~136k tokens saved · 84% less work for the agent

Without Paperbase

~160k tokens

  1. Collect campaign reports and engagement exports.
  2. Skim reactions across channels for patterns.
  3. Ask the team which messages worked.
  4. Reconstruct outcomes from disconnected analytics and anecdotes.

With Paperbase

~24k tokens

  1. Pull campaign Interactions and customer reactions.
  2. Cluster outcomes by message and audience.
  3. Pull Decisions and rationale behind campaign changes.
  4. Compose the retro with evidence and citations.

Agent prompt

You are running the quarterly campaign retro.

Using Paperbase:

1. Pull campaign Interactions and customer reactions from the last {{days}} days.
2. Group outcomes by message, audience, and channel.
3. Pull Decisions about campaign changes with their rationale.
4. Identify the language and moments that moved or stalled the market.

Output:

- What moved the market, with evidence.
- What stalled, and why.
- The messages to repeat, revise, or retire.

Placeholders in {double_braces} are inputs the agent will ask for at runtime. Give the prompt to any agent connected to Paperbase, and the rest grounds in your own memory graph.

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