For Marketing

Instrument LinkedIn like you instrument your website.

You can see every click on your homepage. You can’t see any of the LinkedIn research your buyers are doing across your team. Mavin closes the gap from account-level intent to person-level — contact by contact, post by post, signal by signal.

The Problem

Marketing is measured on pipeline. LinkedIn is dark.

You instrument your website down to the scroll depth. The channel generating the most serious buyer research — your team’s LinkedIn presence — is a black box.

Intent data gives you accounts, not people.

"Acme is interested" is a starting line, not a destination. Your team still needs to guess who at Acme to talk to — and whether they’re even the decision-maker.

You can’t see what LinkedIn is actually driving.

Your CEO posts. Your CMO speaks on a panel. Your content team ships. You see likes and impressions — but not which target accounts went home and researched your team.

Attribution stops at the form.

Ninety percent of buyer research happens before the form fill. Your analytics stack can’t see any of it — and neither can your CMO dashboard.

Sales ignores your MQLs.

You hand over content downloads and scoring-model MQLs. Sales ignores half of them. Meanwhile the accounts actually researching your team never make it onto anyone’s list.

The Gap

From “an account is interested” to the actual person researching you.

Intent data tells you which companies are in-market. It can’t tell you who at that company, or what they care about. Mavin closes the gap by resolving every LinkedIn touchpoint around your team into named people at named accounts — the contact-level layer your intent stack is missing.

Account-level intent

“Acme Corp is in-market.”

  • · Company-level signal only
  • · No contact attached
  • · Firmographic guesswork for the SDR
  • · Signal is weeks stale by the time it surfaces
Person-level with Mavin

“Sarah Chen, VP Ops at Acme, viewed your CTO on Tuesday and engaged with your CEO’s post Thursday.”

  • · Named person at a named account
  • · Real-time, with the engagement context
  • · Routed to the right rep or campaign
  • · Buying-committee patterns detected across the team

Your buyers spend more time researching your team on LinkedIn than they do reading your product pages. You already instrument the product pages. Do the same for the bigger surface.

What You Get

Contact-level intelligence, not company-level guesses.

Attribution

Benchmark campaign impact in real time.

Track how many target accounts are researching your team before, during, and after campaigns. See which channels drive the most research activity. Prove marketing’s impact before a single form is filled.

Sales Readiness

Know when accounts are ready to hand to sales.

When multiple people from the same account research multiple members of your team, that’s a buying committee forming. Mavin detects those patterns and flags hot accounts — so you hand sales-ready, not MQL-ready.

Team-Wide

Harvest signals from your entire leadership team.

Your CEO gets researched at conferences. Your product lead gets vetted during evaluations. Your AEs get looked up before calls. Mavin aggregates signals across all of them into one view.

Discovery

Find accounts you didn’t know were interested.

Companies matching your ICP research your team but aren’t on your target list. Mavin surfaces them automatically — so your ABM list grows from real buying behavior, not firmographic guesswork.

What changes with Mavin.

Marketing Today

  • Campaign runs. You wait weeks for form fills to know if it worked.
  • 6sense says "Acme Corp is interested." You target every VP blindly.
  • MQLs based on content downloads and scoring models. Sales ignores them.
  • No way to connect campaign spend to actual buyer research activity.
  • Target list is static. Built from firmographics months ago.

Marketing With Mavin

  • Campaign runs. Same week you see which target accounts started researching your team.
  • Sarah Chen, VP Supply Chain at BASF researched your CTO. Reach her specifically.
  • Hand sales accounts with active buying signals and full contact details.
  • Benchmark research activity before and after campaigns. See which channels work.
  • List grows dynamically from ICP-matching accounts showing real interest.
Ian Hughes
"
Mavin gives us visibility across our whole team's LinkedIn presence. We can see which people — at which target accounts — are showing interest and prioritize the ones we want.
Ian Hughes
GTM & Demand Generation LeaderTufin

Instrument LinkedIn. See the people behind every account.

Setup takes 5 minutes. See which target accounts are researching your team today.