The board asked how marketing influenced revenue. You couldn't answer.
Not because you don't have data. Almost every marketing team has more of it than they can use. The problem is that the number you report on and the number the board cares about are different numbers, and nothing in your stack connects them. So every budget conversation becomes a negotiation about whether marketing works, instead of a decision about where to put the money.
Marketing and sales leaders at SMB, mid-market and enterprise companies trust Content Chemistry
Problems we solve
You report on leads, they ask about revenue
Your monthly report shows MQLs, traffic and cost per lead. The question in the room is what any of it turned into. The two don't meet anywhere.
Two teams, two numbers
Marketing's figure and sales' figure don't match, and nobody can explain the gap. Once the data is contested, it stops being evidence.
Channels blur together
Your attribution can't tell paid social from organic, or ads from outreach. So you can't say which one to cut, and cutting the wrong one is worse than cutting nothing.
Every budget round starts from zero
You're defending the whole line item again, with anecdotes and a dashboard nobody outside marketing reads.
Marketing and sales leaders trust us
GTM leaders at SMB, mid-market and enterprise companies trust Content Chemistry to get results.
20%
Increase in revenue
95%
Decrease in cost-per-lead (CPL)
499%
ROI from paid ads
94%
Decrease in cost-per-lead (CPL)
272%
Increase in MRR in 6 months
2x
Increase in leads in 6 months
24x
Increase in organic search traffic
125x
Increase in organic keywords
67%
Increase in organic search traffic
9.9%
Increase in website conversion rate
What our clients say
Award-winning and accredited
We’re an award-winning and accredited HubSpot Platinum Solution Partner, Google Partner and Microsoft Partner, with 5-star HubSpot and Google reviews.
Why the board doesn't believe the number
- The metric mismatch is industry-wide. HubSpot's research finds lead quality and MQLs remain the most-used measure of marketing success, ahead of lead-to-customer conversion rate and return on investment. Most teams are judged on the metric that proves the least about revenue.
- The timeframes don't line up either. Dreamdata's benchmark puts the average B2B journey at 272 days from first touch to closed deal. A monthly report cannot describe a nine-month decision, so it describes activity instead.
- The decision isn't one person's. Forrester puts the average enterprise buying group at thirteen people across multiple departments. Single-touch attribution assigns credit to whichever one of them happened to click, which is close to arbitrary.
- And the scrutiny has risen. Around three-quarters of marketers say their budgets are examined more closely than they used to be, even though most expect budgets to hold or grow. The money is still there. The burden of proof went up.
It usually isn't a data problem
- Only around one in seven marketers say they don't have the data they need. The data almost always exists. It just can't be moved, joined or trusted.
- The failures are organisational. Roughly one in five name adopting a data-driven strategy as a top challenge, and around one in eight struggle to share data across their own organisation.
- Definitions are the quiet culprit. When marketing and sales haven't agreed what a qualified lead is, or which stage means what, two teams will report honestly and disagree completely.
- Tracking hygiene decides everything downstream. If your CRM records paid ads and outbound as the same source, no dashboard built on top of it will ever produce an answer you can defend.
What we do about it
- We fix the data model first. Lifecycle stages, source definitions and pipeline structure agreed between marketing and sales, written down, and enforced in the CRM rather than in a spreadsheet.
- We rebuild attribution so channels stay separate. Paid and organic, ads and outreach, first touch and last touch, reported distinctly so a budget decision has something behind it.
- We report to closed won revenue, not to MQLs. Pipeline created, pipeline influenced, revenue by channel and cost of acquisition, in a view the CFO can read without translation.
- We build reporting that survives the cycle. Leading indicators monthly, revenue reconciliation over the length of your actual sales cycle, so the long deals aren't invisible for three quarters.
Frequently Asked Questions
Usually because the measurement was built around a single-touch event and the buying decision isn't one. Add a long cycle, a buying group of around thirteen, and source definitions that blur channels together, and the reporting can be entirely accurate while telling you nothing you can act on.
Pipeline created, pipeline influenced, revenue by channel, customer acquisition cost and cycle length. Keep lead volume and MQLs as operational metrics for your own team, not as the headline. A board is deciding whether to fund a function, not whether last month's campaign got clicks.
Yes, with a caveat. Multi-touch is a far better description of reality than first or last touch, and no attribution model will ever be exact, because a meaningful share of the buying journey happens where you cannot observe it. Treat it as directional evidence for allocating budget, not as accounting.
Through proxies, consistently applied. Share of search, AI search visibility, branded search volume, direct traffic and inbound enquiry quality. It's worth doing. A small share of marketers admit they don't measure return on brand investment at all, which is exactly why brand is the first thing cut when budgets tighten.
With definitions, not dashboards. Agree what each lifecycle stage means, who owns the handoff, and what qualifies, then enforce it in the CRM. Teams that document this in a service level agreement consistently report their marketing as more effective, and it's usually a fortnight of work rather than a quarter.
The data model and tracking usually take four to eight weeks depending on the mess. Reporting you can take into a board meeting follows immediately after. Reliable revenue attribution takes one full sales cycle, because until a cohort closes, you're forecasting rather than measuring.
Then you'd want to know, and you'd want to know which part. Honest attribution sometimes shows a channel should be cut. That's a better outcome than funding it for another year on the strength of a dashboard nobody trusts.