Use cases/Marketing

How Marketing Teams Use B2B Intent Data to See What Drives Pipeline

Show the revenue impact of your campaigns, not just the form fills.

Marketing drives the leads, but without knowing which ones evaluated your product, a big part of the budget goes to traffic that was never going to buy. Subflare gives your team B2B intent data on every lead before the first sales call.

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Average intent score by campaign source
Paid search142 leads/mo
28
LinkedIn ads67 leads/mo
54
Blog content18 leads/mo
88
Webinar31 leads/mo
71

Example data. Blog content brings fewer leads, but far more serious ones.

Every Form Fill Looks the Same in Your Reports

When a lead fills out a form, your CRM captures a name, an email and maybe a company, and your attribution tool adds the source. What neither of them captures is the 40 minutes that lead spent on pricing, or the four visits before they converted.

Without that, a campaign that brings in serious buyers looks no better than one that brings in noise. And the budget discussion ends up being about cost per lead instead of cost per buyer.

How it works

How Subflare Works for Marketing Teams

1

Picks Up Where Other Tools Stop

Most marketing tools stop at the form. Subflare captures everything before it: every page visit, every return session, every minute on pricing.

2

Trace Intent Back to the Campaign

Filter leads by intent score and see which campaigns produce buyers. Use that to make the case for where budget should go next quarter.

3

Live in Fifteen Minutes

Add a small script to your site and connect your CRM via Zapier. The data lands in the fields your sales team already looks at.

See the full walkthrough →

Intent data

B2B Intent Data That Shows What Your MQLs Mean

Subflare scores every inbound lead on pre-form behavior, not firmographics. Your team stops debating whether a lead is sales-ready based on job title and starts deciding based on what the person did on your site.

  • See what content drives signups
  • Match campaigns to real buyer intent
  • Improve conversion paths before the form
  • Talk about cost per serious buyer, not cost per lead
One lead, two views
Attribution saysSource: LinkedIn ads · Campaign: Q4 webinar
Subflare addsPricing 3 visits · 12 min · read 2 use cases
Intent score 82 · HotWorth a sales call today

Example data

15 minaverage setup time
Your CRMHubSpot, Salesforce, Pipedrive and more via Zapier
0manual exports needed

Questions From Marketing Teams

Can't find your answer? Book a demo and ask us directly.

We already have attribution. What does Subflare add?

Attribution tells you where a lead came from. Subflare tells you what they did after they arrived. A lead from your best-performing LinkedIn campaign might have spent 30 seconds on your site and never come back. Another from an old blog post spent 12 minutes on pricing and returned twice. Attribution treats them the same. Subflare does not. The combination of source data and behavioral intent data is what gives you a complete picture.

How does it fit into our existing lead scoring model?

Subflare does not replace your lead scoring setup, but instead adds first-party behavioral data on top of whatever model you already run. Your scoring gets sharper because it is working with richer inputs. The data lands in the same CRM fields your team already uses, so nothing about your workflow changes. Most teams find that their existing scoring becomes significantly more accurate within the first month.

Does Subflare work with our existing marketing automation?

Yes. Because Subflare connects via Zapier and writes to your CRM, it works alongside whatever marketing automation stack you already use. HubSpot, Marketo, ActiveCampaign, and most other platforms pull data from the same CRM fields Subflare writes to. You do not need to change your automation workflows.

Can this help us justify budget for specific channels?

Yes, and this is where most marketing teams will find the most immediate value. Once you can see which channels produce high-intent leads rather than just high volumes, the budget conversation changes entirely. You stop defending cost-per-lead and start talking about cost-per-serious-buyer. That is a much easier number to defend in a planning meeting.

How long before we see meaningful data?

Most teams see their first intent scores within hours of setup, but the model keeps improving as more data comes in, so it gets more useful over time.

What if our sales team does not trust the scores?

The best approach is to start by showing sales reps the behavioral detail behind each score rather than just the number. When a rep can see that a lead visited pricing four times and read two case studies before submitting, the score feels earned rather than arbitrary. Most teams find buy-in comes quickly once the first few high-scoring leads turn into real conversations.

Ready to See Which Campaigns Bring in Buyers?

Book a demo and we'll show you what your team would see when a lead converts.

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