Cross-Channel Performance
Google Ads + Meta Ads unified, with a natural-language AI analyst on top
Blended ROAS
4.6x
↑ 0.8x vs last period
Spend
$48.2K
Google $29K · Meta $19.2K
Cost / qualified lead
$36.10
↑ $2.40
Spend vs. Conversions — Last 8 Weeks
Top Campaigns
| Campaign | Channel | Spend | ROAS |
|---|---|---|---|
| Brand — Search Exact | $8,420 | 7.1x | |
| Retargeting — Cart Abandon | Meta | $5,110 | 6.4x |
| Prospecting — Lookalike 1% | Meta | $9,860 | 2.8x |
| Non-Brand — Performance Max | $12,330 | 3.1x |
💬 Ask the AI analyst try: "budget", "meta", "creative"
Why did cost per lead go up this week?
Cost per lead rose 7% mainly from the Prospecting — Lookalike 1% campaign on Meta, where CPM increased 18% while CTR held flat. Search campaigns stayed efficient. Recommend shifting $1.5K/week from Lookalike to Retargeting, which is converting at 6.4x ROAS.
Draft a one-line summary for the client email.
"Blended ROAS held at 4.6x this period — Search and Retargeting are carrying performance, and we're reallocating budget away from a softening prospecting campaign to protect efficiency."
Privacy-safe recreation of a real build — unified ad-platform reporting with an embedded AI assistant for natural-language analysis. Interactive: ask the analyst a question, or switch the date range.