Marketing KPIs: 25 Metrics That Predict Revenue

Acquisition KPIs

1. Customer Acquisition Cost (CAC) by channel. Total spend divided by new customers acquired, broken down by channel. CAC without channel segmentation is nearly useless — an aggregate CAC of $400 could mean Google Ads at $200 and events at $800, which are two very different stories.

2. Organic traffic growth rate (MoM). Month-over-month percentage growth in organic search visits. This predicts future pipeline because SEO compounds — 10% monthly growth for 12 months means 2.1x traffic. Track separately for branded and non-branded terms.

3. Cost per qualified lead (CPQL). Not cost per lead — cost per lead that meets your ICP definition. Marketing that generates cheap leads that sales ignores is worse than no leads at all. Work with sales to define "qualified" and track it consistently.

4. Qualified lead rate. The percentage of all leads that meet your ICP criteria. A declining qualified lead rate signals targeting drift — your campaigns are reaching the wrong audience, usually because optimisation signals are being misread.

5. Marketing-sourced pipeline percentage. The proportion of your total sales pipeline that originated from marketing channels. This is the ultimate acquisition KPI — it connects marketing activity directly to the revenue forecast.

Engagement KPIs

6. Email open rate (by segment). Track open rate by list segment, not just overall. A 45% open rate on your active segment and 8% on your cold segment are telling you different things. With Apple MPP, use click rate as a secondary validation metric.

7. Click-through rate (CTR) by channel. Paid ad CTR benchmarks vary significantly by platform and format — what matters is your trend relative to your own historical baseline and how it responds to creative changes.

8. Content engagement depth. Scroll depth and time-on-page for key content assets. A blog post that's read to 80% completion is converting attention into consideration. One read to 20% isn't — and publishing more of them isn't the answer.

9. Time-on-page for high-intent pages. Product pages, pricing pages, and case study pages with strong engagement time signal buying intent. Integrate this with CRM data to identify accounts showing research behaviour before they raise their hand.

10. Return visitor rate. Returning visitors convert at significantly higher rates than first-time visitors. A rising return visitor rate signals brand recall and consideration — a declining rate suggests your content isn't creating a reason to come back.

Conversion KPIs

11. Overall website conversion rate. Visits-to-goal completions. Establish baseline by traffic source — organic, paid, direct, referral — because conversion rates vary dramatically and blending them obscures optimisation opportunities.

12. Landing page conversion rate. Track separately for each campaign and landing page variant. A 2% CVR improvement on a high-traffic page has more impact than building five new pages. Prioritise optimisation of existing high-traffic assets.

13. MQL-to-SQL rate. The percentage of marketing qualified leads that sales accepts as sales qualified. Below 20% usually means misalignment on ICP definition. Above 60% can mean marketing's bar is too high and they're not generating enough volume.

14. SQL-to-close rate. The percentage of sales qualified leads that close as customers. This is partly a sales metric but marketing owns the quality of the opportunity it creates. Consistently low close rates often trace back to mismatched expectations set in marketing content.

15. Sales cycle length. Average days from first touch to closed-won. Marketing can shorten this through better nurture sequences, earlier objection handling in content, and clearer case studies that reduce the trust-building burden on sales.

Revenue KPIs

16. MRR/ARR growth rate. For subscription businesses, monthly recurring revenue growth is the north star. Marketing's contribution is in new logo ARR and in retention support that reduces churn drag.

17. LTV:CAC ratio. Customer lifetime value divided by acquisition cost. A ratio below 3:1 means your acquisition model is unsustainable. Above 5:1 often means you're underinvesting in growth. 3–4:1 is the healthy range for most SaaS businesses.

18. CAC payback period. Months to recover customer acquisition cost from gross margin. Under 12 months is strong for most B2B businesses; under 6 months creates significant cash flow flexibility for reinvestment.

19. Net Revenue Retention (NRR). Revenue retained plus expansion minus churn from your existing customer base. NRR above 100% means your existing customers are growing your revenue without new acquisition. Marketing drives NRR through expansion campaigns and customer success content.

20. ROAS by channel. Return on ad spend calculated as revenue divided by ad spend, tracked by channel and campaign. Used alongside LTV:CAC ratio to make channel allocation decisions with a long-term lens, not just immediate return.

SEO KPIs

21. Keyword ranking velocity. The rate at which target keywords move up in rankings after publishing or optimising content. Slow velocity despite quality content often signals technical issues, authority gaps, or keyword cannibalization.

22. Organic share of voice. Your estimated visibility in search results for your target keyword set relative to competitors. Rising SOV predicts future traffic even before traffic changes manifest — it's a leading indicator.

23. Featured snippet and People Also Ask ownership. The percentage of your target queries where you own the featured snippet or PAA box. These positions drive significant CTR and are increasingly important for AI Overview citation eligibility.

24. AI citation frequency. How often your brand or content is cited in ChatGPT, Perplexity, and Google AI Overview responses for your target topics. This is an emerging KPI in 2026 — brands appearing in AI-generated answers are capturing research-stage attention before traditional search results.

25. Backlink velocity. New referring domains per month to key pages and to the root domain. Sustainable link velocity from relevant, authoritative sources predicts ranking improvements and protects against algorithm volatility.