Prompt library
Marketing

Asset Engagement Analysis

Measure and rank asset engagement across web and email channels, then correlate engagement with Lead‑to‑MQL conversion uplift.
Table of contents
Prompt
Follow-up Prompts
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applicable Roles
Content Marketing
Product Marketing
Demand Gen
Prompt
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Petavue, analyze all website and email assets viewed in the past 90 days and deliver:

1. Web Engagement Metrics for each asset:

    • Average scroll depth (%)
    • Average time on page (seconds)
    • CTA click-through rate (if applicable)

2. Email Engagement Metrics for each asset:

    • Open rate
    • Click-through rate

3. Engagement Score on a 0–100 scale:

    • 0.4 × normalized scroll depth
    • 0.4 × normalized time on page
    • 0.2 × normalized CTA clicks

4. Conversion Impact

    • Compare the Lead→MQL conversion rate for contacts with an Engagement Score ≥ 60 versus the overall baseline.

5. Summary Table with columns:

    • Asset Title
    • Asset Type (URL, PDF, Video, etc.)
    • Engagement Score
    • Total Views
    • Leads Engaged (Score ≥ 60)
    • % Uplift vs. Baseline
Follow-up Prompts
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  • List the top ten assets by engagement score, showing scroll depth, time on page and CTA click‑through rates.
  • Compare Lead‑to‑MQL conversion uplift for each asset type (URL, PDF, video) against the global baseline.
  • Identify assets with engagement scores below 40 and report their conversion performance.
  • Recommend content adjustments or replacements for assets with high views but low conversion uplift.
  • Project the potential MQL increase if engagement scores for the bottom quartile of assets improved to the median.
Action Prompt

What This Prompt Does

This prompt gathers web event data (average scroll depth, time on page, CTA click‑through rate) and email metrics (open rate, click rate) for every asset viewed in the last 90 days. It normalizes these metrics to compute a 0–100 engagement score, then compares conversion rates for contacts with high engagement (score ≥ 60) against the global baseline. Finally, it returns a table listing each asset’s title, type, engagement score, view count, number of engaged leads and percentage uplift versus baseline.

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Strategic Impact

By identifying which assets drive stronger engagement and higher conversion, this prompt enables more effective content investment and targeting.

Business outcomes:

 → Increases MQL yield by promoting assets that deliver measurable conversion uplift

 → Optimizes content spend by retiring low‑engagement materials

 → Aligns marketing and sales around proven assets for faster pipeline acceleration