Vendor reportDreamdata, 2026
Across the full funnel each B2B ad platform wins on a different metric: Meta on cost per click, Google Search on click-through rate, LinkedIn on ROAS and influenced deals
Channel validation
| Metric | Meta | Google Search | |
|---|---|---|---|
| CPC (EUR) | 1.6 | 5.19 | 5.98 |
| CPM (EUR) | 9.18 | 234.64 | 34.33 |
| CTR (%) | 0.61 | 4.26 | 0.57 |
| Cost per company influenced (EUR) | 128.7 | 110.37 | 70.11 |
| Cost per contact influenced (EUR) | 231.77 | 362.39 | 1,033.29 |
| ROAS (%) | 51 | 67 | 121 |
| Influenced New Business Deals (%) | 2 | 31 | 36 |
| Share of Budget (%) | 8 | 33 | 41 |
B2B ads funnel benchmarks by platform (2025)
- Reader Note:
- The table in full: cost per click EUR 1.60 on Meta, 5.19 on Google Search, 5.98 on LinkedIn; click-through rate 0.61%, 4.26% and 0.57%; return on ad spend 51%, 67% and 121%; influenced new-business deals 2%, 31% and 36%. LinkedIn is the dearest click and the lowest click-through rate of the three, so its lead rests entirely on the two attributed measures. Both come from Dreamdata's own attribution model, calculated on closed-won deals over twelve months with impressions excluded, and the model itself is not published. A measurement change lands in the same period: the report says its new IP-to-company engine identifies up to fifteen times more companies than before, so part of the influenced-deals figure may be better detection rather than better performance.
- Evidence:
- Observed behaviour
- Vendor interest:
- High — This comes from a company with a commercial interest in this market, so it is not a neutral source.
- Sample:
- Aggregated data from thousands of Dreamdata B2B customers, covering 66+ million sessions and 3.5+ million customer journeys; only companies that agreed to benchmark use were included, and accounts needed minimum spend.
Good for
Comparing yourself against a similar segment, and choosing what to test next.
Not for
- Saying that one thing caused another, or predicting what you would get.
- This comes from a company with a commercial interest in this market, so it is not a neutral source.
- This is an aggregated or average number that covers very different cases. Real results in a particular segment may differ.
- The source never says how this number was measured.
- Nobody counted this directly — it's a calculation. The publisher worked it out itself, or took the ad platform's word for what its ads achieved.




