---
title: "Sealmetrics + Meta Ads"
description: "iOS attribution gap, audience ROAS, creative fatigue, placement optimization, retargeting cannibalization. Cross-MCP prompts combining Sealmetrics with Meta Ads."
canonical_url: "https://docs.sealmetrics.com/web-analytics-prompts/meta-ads"
lang: "en"
date_generated: "2026-08-27T14:18:06.639Z"
source_hash: "8c2610c69a0dae3a33ce7512b5f59240c459a3265ce880183772d7f8bfc3489e"
content_type: "documentation"
owner: "docs"
llm_priority: "useful"
source_file: "web-analytics-prompts/14-meta-ads.mdx"
publisher: "Sealmetrics"
---

# Sealmetrics + Meta Ads

Canonical page: https://docs.sealmetrics.com/web-analytics-prompts/meta-ads

Meta's reported numbers are an estimate, especially post-iOS 14.5. Sealmetrics gives you the deterministic baseline. These prompts compare the two.

**MCPs required:** Sealmetrics MCP + Meta Ads MCP

---

## SEAL-106 — Meta ROAS vs real ROAS

```text
You have access to Sealmetrics MCP for site {site_id} and Meta Ads MCP for account {meta_account}.

Last 30 days per ad set:
- Spend (Meta Ads)
- Conversions and revenue reported by Meta
- Conversions and revenue captured by Sealmetrics (matched on utm_campaign + utm_source = facebook|instagram + utm_medium = paidsocial|cpc)
- ROAS_meta and ROAS_real
- Delta

Highlight ad sets where Meta ROAS overstates real ROAS by more than 0.5x. Those are likely benefiting from modeling on iOS users.

Output: 1 ranking table + 3-bullet bidding recommendation.
```

---

## SEAL-107 — Conversion gap post-iOS 14.5

```text
Using Sealmetrics MCP for site {site_id} and Meta Ads MCP for account {meta_account}:

Per ad set, last 30 days:
- Conversions reported by Meta (split by iOS / Android / Web if available)
- Conversions in Sealmetrics by source = facebook|instagram, broken down by device platform

Compute % under-reporting on iOS vs Android. Highlight ad sets where the iOS gap is larger than 30% — those are where Meta's modeling matters most.

End with a recommendation on which ad sets to optimize using Sealmetrics conversions instead of Meta's reported.
```

---

## SEAL-108 — High CPM, low quality traffic

```text
For site {site_id} (Sealmetrics MCP) and Meta account {meta_account} (Meta Ads MCP):

Per campaign, last 30 days:
- CPM (Meta)
- Bounce rate of incoming Sealmetrics traffic
- % bot/agent_suspected from that source

List campaigns with above-account-median CPM AND above-site-median bounce rate AND above 5% bot share. Those are paying premium for low quality.

Output: ranked table by spend + a 3-bullet recommendation: pause, change audience, change placement.
```

---

## SEAL-109 — Audience ROAS ranking

```text
Using Sealmetrics MCP for site {site_id} and Meta Ads MCP for account {meta_account}:

Per audience (saved or custom), last 60 days:
- Spend (Meta)
- Real conversions and revenue (Sealmetrics)
- Real ROAS = revenue_sealmetrics / spend
- Revenue per session

Rank audiences by real ROAS desc. Highlight top 3 to scale and bottom 3 to retire.
End with a 3-bullet recommendation including 2 lookalike candidates to test based on the top performers.
```

---

## SEAL-110 — Creative fatigue detector

```text
For site {site_id} (Sealmetrics MCP) and Meta account {meta_account} (Meta Ads MCP):

Per ad creative, last 14 days:
- Frequency (Meta)
- CTR trend (Meta)
- Real CR trend on the destination landing (Sealmetrics)

Identify creatives with frequency above 3 AND declining real CR over the last 2 weeks (more than 15% drop). Those are fatigued.

Output: list of fatigued creatives with absolute spend and lost potential revenue. Recommend swap or refresh per creative.
```

---

## SEAL-111 — Best creative + landing combination

```text
Using Sealmetrics MCP for site {site_id} and Meta Ads MCP for account {meta_account}:

Cross every active creative with the landing page it sends to. Last 30 days:
- Spend
- Real conversions (Sealmetrics)
- Real ROAS

Output the top 10 creative-landing combinations by ROAS and the bottom 10. End with a "test plan": 3 new combinations to launch based on what's working.
```

---

## SEAL-112 — Adsets with high frequency and high bounce

```text
For site {site_id} (Sealmetrics MCP) and Meta account {meta_account} (Meta Ads MCP):

Per ad set, last 14 days:
- Frequency (Meta)
- Bounce rate of incoming Sealmetrics traffic from that ad set
- Real CR

Find ad sets with frequency greater than 4 AND bounce rate above 65% AND real CR below site median. Those are over-saturated and the audience is no longer responsive.

Output: ranked table + a 3-bullet rotation plan.
```

---

## SEAL-113 — Placement performance

```text
Using Sealmetrics MCP for site {site_id} and Meta Ads MCP for account {meta_account}:

Split last 30 days by placement (Reels, Feed, Stories, Marketplace, Audience Network, etc.):
- Spend
- Real conversions and revenue from Sealmetrics, mapped via utm_content or campaign naming convention I provide
- Real ROAS per placement

Output: ranked table. End with a 3-bullet placement reallocation suggestion.
```

---

## SEAL-114 — Cold vs retargeting cannibalization

```text
For site {site_id} (Sealmetrics MCP) and Meta account {meta_account} (Meta Ads MCP):

Split campaigns into prospecting (cold) and retargeting based on naming convention or audience type.

Per group: spend (Meta), real conversions (Sealmetrics), real revenue, share of total social conversions.

Estimate cannibalization risk: % of retargeting conversions that are also from users who arrived initially via prospecting in the same lookback window.

Output: a verdict (high / medium / low cannibalization) + a 3-bullet budget reallocation suggestion.
```

---

## See also

- [Cross-platform prompts](./cross-platform)
- [Spend Efficiency](./spend-efficiency)
- [Attribution & Channels](./attribution-channels)