POAS Benchmark Report 2026–2040.
Median Profit on Ad Spend (POAS), ROAS and CAC change by channel and industry — aggregated from 47 active accounts and $1.2M+ monthly managed ad spend. Most agencies quote ROAS. We publish the number underneath it.
Last updated
Sample: 47 accounts · Trailing 12 months (Jun 2025 – May 2026)
Median ROAS & POAS per channel.
Revenue-based ROAS always looks bigger. The profit number (POAS) is the one that pays you.
Bars show median ROAS. Full POAS and CAC figures in the table below.
| Channel | Median POAS | Median ROAS | CAC change (90d) |
|---|---|---|---|
| Google Ads (Search) | 2.9x | 5.4x | -38% |
| Google Performance Max | 2.4x | 4.8x | -31% |
| Meta / Facebook Ads | 2.2x | 4.1x | -44% |
| TikTok Ads | 1.8x | 3.3x | -27% |
| LinkedIn Ads (B2B) | 3.1x | 4.7x | -22% |
Median POAS per industry.
B2B and real estate carry the highest profit-on-spend; apparel runs leaner margins but recovers the most via server-side tracking.
| Industry | Median POAS | Median ROAS | Conv. recovered (server-side) |
|---|---|---|---|
| DTC E-commerce | 2.6x | 4.9x | +38% |
| B2B / SaaS | 3.4x | 5.1x | +29% |
| Real Estate | 3x | 4.4x | +33% |
| Apparel & Fashion | 2.1x | 4.6x | +41% |
| Health & Wellness | 2.5x | 4.7x | +36% |
2026 was just the ignition. The trajectory runs to 2040.
We engineer this site, our stack and every client system for a 14-year horizon — through agentic media buying, post-pixel attribution and autonomous revenue OS. One URL, one trust signal, compounding through 2040.
2026 — Now
CAPI · AEO ignition
Server-side tracking + AI answer-engine citation become table stakes.
2028
Agentic buyers · LLM bidding
AI agents place buys; humans set policy. Margin replaces clicks.
2032
Post-pixel maturity
Attribution rebuilt on first-party + CRM. Pixels are a footnote.
2040
Autonomous revenue OS
Self-tuning systems run growth end-to-end. Strategists author goals.
All linked posts scored top-tier on AEO/GEO — extractable answers, structured data, last-updated stamps.
Browse the full blog indexHow these numbers were produced.
- Source: aggregated, anonymized data from 47 DigiMinds-managed advertising accounts representing $1.2M+ monthly managed ad spend.
- Period: Trailing 12 months (Jun 2025 – May 2026).
- Markets: UAE, UK, USA, Australia, Canada, Pakistan.
- POAS = gross profit ÷ ad spend, using client-supplied margin data fed into value-based bidding. ROAS = platform-reported revenue ÷ ad spend.
- CAC change compares blended customer acquisition cost in the first 90 days of DigiMinds management against the trailing 90-day baseline.
- Server-side lift = additional conversions attributed after migrating from browser-only to server-side tracking (Meta CAPI + server-side GTM), measured in Events Manager.
- Figures are medians, not averages, to limit distortion from outliers. They describe the DigiMinds client base and are not a guarantee of future results.
Download the dataset: poas-benchmark-2026.csv — CC BY 4.0.
Dataset citation: DigiMinds, “DigiMinds POAS Benchmark Report 2026–2040,” 2026. https://digiminds.org/resources/poas-benchmark-2026
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