Lio AI Assistant
LIO for Marketing Teams

Finally see whichcampaigns actually close.

Stop optimizing for MQLs and start optimizing for revenue. LIO scores every lead by ICP fit + intent, tracks it through to deal, and tells you which sources, campaigns, and channels actually produce signed contracts.

Source quality

LinkedIn Ads
87
Google Search
72
Website forms
66
Webinar
54
Cold list
21
LA

LinkedIn Ads · Q4 ICP

142 leads · 38% MQL→SQL

87
GA

Google · "lead routing"

68 leads · 29% MQL→SQL

72
WB

Webinar · Ops in 2026

220 leads · 14% MQL→SQL

54
CL

Bought list · Q3

1.2k leads · 2% MQL→SQL

21

Marketing teams trading MQL theatre for revenue truth.

0%Lead capture rate
0.0×MQL→SQL conversion
0%Source attribution
The reality

You're spending budget. But you don't know
what's actually working.

01

MQLs lie

You hit your MQL number, then sales says “these leads are garbage.” Now everyone's mad and no one knows whose data to trust.

02

Attribution is a mystery

A lead touched 7 channels before closing. Your CRM credits the last one. Marketing gets zero. The data is wrong but no one can fix it.

03

ICP is a slide, not a system

Your ICP doc lives in a deck. Your ad targeting doesn't enforce it. Half your leads were never going to buy from a company your size.

lioLIO fixes all three. Every lead scored, sourced, and tracked to revenue.
How it works

What marketing looks like
when LIO closes the loop.

Capture everything

Capture everything

Forms, ads, chat, webinars, LinkedIn every lead lands in LIO with full UTM + source captured. No more lost attribution.

  • Multi-source capture
  • Full UTM preservation
  • Public web forms in 1 click
Score against ICP

Score against ICP

Your ICP becomes code. Every lead measured against it across 5 dimensions, in real time. Bad-fit leads visible immediately fix your targeting before you burn another month.

  • ICP Fit Score (5 dimensions)
  • Behavioral signal scoring
  • LinkedIn auto-enrichment
Track to revenue

Track to revenue

Every lead's path from first click to signed contract visible. Which campaigns generate deals? Which channels waste money? Now you know.

  • Source-to-revenue dashboards
  • Custom views & filters
  • Export anywhere (API + CSV)
Use cases

How marketers use LIO daily

01

Know what every dollar actually bought.

Each campaign, channel, and keyword tracked from first touch through deal close. Your monthly review goes from guesswork to math.

Custom Views Data Export Public API
Source attribution
The numbers

Marketing teams running LIO defend their budget with data.

We retired three tools in one quarter. LIO showed us which 30% of our ad spend was actually driving revenue and we doubled down.

— Head of Marketing, B2B SaaS

0%

Lead capture rate

0.0×

MQL→SQL conversion

0%

Source attribution

0%

Lower CAC

How it works

For every kind of marketing motion
LIO matches how you run.

Demand gen

Demand gen

Ads, content, webinars every lead scored, attributed, closed-loop.

Content / SEO

Content / SEO

Organic leads enriched + ranked. Know which content produces revenue.

Email marketing

Email marketing

Triggered sequences off lead score. Re-engage cold leads automatically.

ABM

ABM

Account-level pipelines. Stakeholder mapping. Engagement signals per account.

Integrations

LIO connects toyour martech stack.

Questions & Answers

Everything you need to know

Get answers to common questions about how LIO helps marketing teams capture, attribute, and convert high-quality leads into revenue.

For most teams, yes. LIO captures full UTM history per lead, tracks every touch through to deal close, and reports source-to-revenue out of the box. For complex multi-touch models, our API exports to BigQuery / Snowflake / Looker.

Marketing without guesswork.

Start your 14-day Pro trial. See revenue attribution by end of week.