Marketing

Content Influence Mapping

Correlate content asset interactions with high‑value Closed‑Won deals to rank assets by influence and revenue impact.
Prompt
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Petavue, for all contacts with ACV ≥ $50K that closed-won in the last 180 days:

1. Content Interactions: List every content asset they engaged with before opportunity creation.

2. Aggregation: For each asset, calculate:

    • Views/Downloads (total)
    • Closed-Won Influenced (number of deals)
    • Influenced Revenue (sum of ACV)
    • Average Days to Opportunity (from first asset interaction)

3. Leaderboard: Return a table sorted by Influenced Revenue with columns:

    • Asset Title
    • Views/Downloads
    • Closed-Won Influenced
    • Influenced Revenue $
    • Avg Days to Opp
Follow-up Prompts
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  • List the top 10 assets by influenced revenue and show their views/downloads and influenced revenue.
  • Break down influenced revenue and deal count by asset type (e.g. whitepaper, webinar, blog).
  • Identify assets with average days‑to‑opportunity below the overall mean.
  • Compare influence metrics for gated versus ungated assets.
Action Prompt

What This Prompt Does

This prompt retrieves all contacts that reached Closed‑Won status in the past 180 days with ACV of at least $50 000 and lists every gated or ungated asset they viewed or downloaded before opportunity creation. It aggregates these interactions by asset, then returns a table showing asset title, total views or downloads, count of Closed‑Won deals influenced, influenced revenue in dollars and average days to opportunity. Finally, it ranks assets by influenced revenue to spotlight your top performers.

Strategic Impact

By revealing which content assets drive the most high‑value deals, this prompt guides marketing investment and equips sales with proven materials.

Business Outcomes:

 → Focuses content development on assets that generate the greatest revenue influence

 → Increases campaign efficiency by promoting high‑impact assets and retiring low‑performers

 → Empowers sales teams with data‑backed playbooks for late‑stage engagement