For ABM & Marketing Leaders
Your Campaigns Drive Interest. Now You Can Actually Prove It.
You run ABM campaigns, sponsor conferences, publish thought leadership. Prospects respond by researching your team on LinkedIn — but that signal is invisible to you. Mavin captures it and shows you exactly which accounts are engaged, which people are looking, and when they’re sales‑ready.
The Problem
You’re generating demand you can’t measure.
Every GTM activity you run — brand campaigns, ABM programs, repositioning, events — drives prospects to research your team on LinkedIn. That research is buying behavior, and it’s happening before any form fill, demo request, or inbound lead. Right now, you have zero visibility into it.
Campaigns run. Attribution doesn’t.
You launch an ABM campaign against 200 accounts. Are they responding? Are they researching you? You don’t know until someone fills out a form — weeks or months later, if ever.
Intent data gives you companies, not people.
6sense says "Acme Corp is in-market." Great. Who at Acme? Which role? Are they researching you or your competitor? You’re still guessing at the contact level.
Sales says your leads aren’t warm.
You hand over MQLs based on content downloads and scoring models. Sales ignores half of them. Meanwhile, the accounts actually researching your team never make it onto anyone’s list.
You can’t tell which channels actually work.
Did the LinkedIn ads work? Did the conference sponsorship generate interest? If you can’t see who’s researching you after a campaign, you can’t benchmark what drove it.
How It Works
From campaign activity to sales‑ready accounts.
Mavin sits between your marketing campaigns and your sales team — capturing the buying behavior that happens in between and telling you when an account is ready to be worked.
You run campaigns
ABM, brand awareness, conferences, content, LinkedIn ads — anything that puts your company in front of target accounts.
Prospects research your team
Interested buyers go to LinkedIn and look up your CEO, product leads, sales team — anyone they want to vet before engaging.
Mavin captures the signal
We monitor your team’s LinkedIn presence, filter activity against your target accounts and personas, and surface only what matters.
Accounts qualify themselves
When target accounts hit a signal threshold — multiple people, repeat visits, buying committee patterns — they’re sales-ready. You hand them off with full context.
Researched Jane Rodriguez (CEO)
Every customer-facing person on your team generates signal. Mavin aggregates all of it, filters out the noise, and delivers only ICP-matched buying signals to one Slack channel.
What You Get
Contact-level intelligence, not company-level guesses.
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 at the earliest possible stage — before a single form is filled.
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 these patterns and surfaces hot accounts — so you pass sales-ready accounts, not cold MQLs.
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 — no signal gets lost in someone else’s LinkedIn notifications.
Find accounts you didn’t know were interested.
Companies matching your ICP research your team, but they’re not on your target list. Mavin surfaces them automatically — so your ABM list grows from real buying behavior, not just firmographic guesswork from six months ago.
Intent Data vs. Buying Behavior
Same account. One gives you a score. The other gives you a person.
BASF is showing buying activity. Here’s what 6sense tells you vs. what Mavin tells you.
→ Researched your CEO and Head of Product
→ Researched your CTO
→ Researched your VP Sales
What changes with Mavin.
ABM 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.
ABM 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.
See Mavin in Action
Measure ABM Campaign Impact
You launched a campaign against 150 target accounts. Within a week, Mavin shows which accounts started researching your team — and which specific people are engaged. Benchmark before/after to prove what worked.
View playbook →Capture Conference Interest
Your CEO keynoted at an industry event. Mavin shows you which attendees went home and researched your team — turning conference presence into pipeline you can actually track.
View playbook →Build a Better Sales Handoff
Stop handing sales a list of MQLs they won’t call. Hand them accounts where specific people have been actively researching your team — with names, titles, and context for every signal.
View playbook →
“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.”
See which target accounts are researching your team today.
Setup takes 5 minutes. Start seeing buying signals immediately.