The most common mistake tech companies make isn't underspending on SEO — it's measuring the wrong things and concluding SEO doesn't work before it has a fair chance to prove itself.
Most teams default to tracking organic sessions and keyword rankings. Both are useful leading indicators, but neither connects to revenue. A VP of Marketing presenting organic traffic growth to a CFO is going to get asked the same question every time: what did it generate in pipeline?
The gap exists for a few reasons:
- Attribution model gaps: Most CRM setups credit the last touch. If a prospect found you via a blog post six months ago, converted on a retargeting ad, and then booked a demo through a sales email — the blog post gets zero credit. SEO's role disappears from the data.
- Long conversion cycles: B2B and SaaS buying cycles often run 30 to 90 days or longer. A session in January might not close until Q2. Standard monthly reporting won't capture this unless you're tracking opportunity creation date back to original source.
- Content vs. commercial page conflation: Not all organic traffic carries the same intent. A developer reading your API documentation contributes differently to pipeline than a decision-maker reading your pricing comparison page. Lumping them together distorts the ROI picture.
The fix isn't a new tool — it's a better model. Before you calculate ROI, you need to agree internally on what counts: which conversion events matter, how assisted attribution gets handled, and what time window you're measuring over.