Skip to main content
Apolla AI
Marketing

Campaign performance analysis

Consolidates spend, conversion and cost data, breaks down campaign performance by channel and audience, and delivers actionable optimization advice.

Sample input and output

Sample input

Review the August back-to-school campaign: budget RMB 1.2 million, target customer acquisition cost below RMB 80.

Sample output

Overall new-customer cost was RMB 92, missing the target. Short video came in at RMB 61 and delivered 54% of new customers; feed ads cost RMB 143 with creative CTR 40% below average. Recommend shifting 30% of next period’s budget to short video and testing new feed creatives at small scale.

Details

After a campaign ends, the data sits in ad platforms, the CRM and the e-commerce back office, and the review rarely goes beyond totals. This template connects to each data source, breaks down impressions, clicks, conversions and cost by channel, creative, audience and time slot, and finds the dimensions with the largest performance gaps.

Findings are presented as finding, evidence, recommendation, with the expected impact and required actions for each recommendation. It compares against past campaigns to identify combinations that consistently work or consistently underperform.

  • Multi-platform data ingestion with aligned definitions
  • Breakdown by channel, creative, audience and time slot
  • Side-by-side comparison with past campaigns
  • Optimization advice with expected impact

How close is this template to your use case?

Most customers go live after changing 20–40% of a template. Book a workshop and we will assess it together.