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19× higher conversion. Same prospects, ranked by who's actually buying.

Lift AI adds Website Buyer Context to your CRM, ABM and sales tools, so reps and agents follow up with the prospects most likely to buy first, whether they filled out a form or not.

Fig.01 — Follow-up queue
Toggle the sort · Illustrative
Sorted by
#ProspectSourceBuyer ProbabilityBandMove
0501R. OkaforTallis GroupForm fill · Demo request22Low▼4—
0702L. ChenMirada LabsForm fill · Ebook9Low▼5—
0303D. MarshCorvel LogisticsChat · Email captured48Mid——
0404P. NairBrightpath HealthForm fill · Contact us31Mid——
0205A. BrandtKeystone AnalyticsKnown account · ABM list57Mid▲3—
0106J. AlvarezHalden SystemsReturning visitor · No form86High▲5—
0607S. ItoOrbit FreightForm fill · Webinar14Low▲1—
Illustrative queue · Scored in sessionJ. Alvarez never filled out a form · ▲5 to the topSorted by time received · Form fills first

The loudest prospects aren't the likeliest buyers.

Most follow-up runs on hand-raises and account-level intent. Form fills go to the top of the queue, even though at RealVNC 60% of them scored low probability and produced just 8% of form revenue. Meanwhile, high-probability buyers who never fill out a form go unworked, and account intent tells you which companies are researching, not which people are ready to buy.

Fig.02 — RealVNC form fills, by Buyer Probability
Form fills · Revenue

Predict. Guide. Prove. For every follow-up.

01 · Predict
0–100 · Real time

Buyer Probability Score

Rank every hand-raiser, known account and net-new visitor by how likely they are to buy.

Low
Mid
High
02 · Guide
Plain language · Per visitor

Buyer Context Brief

Give reps and agents the opening: what the buyer is evaluating, and the recommended next step.

Buyer Profile
Areas of Focus
Behavioral Trace
Recommended Action
03 · Prove
Pipeline · Revenue

Revenue Loop

See which prioritized prospects became pipeline, and which follow-up plays worked.

Outcome Validation
Performance Measurement
Agent Learning Loop

Put probability behind every follow-up decision.

04 default plays · Each runs in tools you already use
Play.01 / 04
Fig.P1 — Every hand-raiser, scored · Illustrative

Hand-raiser follow-up and routing

Score every form fill and every email captured in chat, so High-probability hand-raisers get a rep now and the rest go to nurture.

Runs in
Salesforce
HubSpot
Salesloft
Outreach
Hand-raisers today · 24
Form fills + chat emails
Rep now03
High probability
Nurture21
Mid and Low
Play.02 / 04
Fig.P2 — The buyer already in your CRM · Illustrative

Hidden buyers in known accounts

Surface the contacts and accounts already in your CRM or ABM platform who are showing buying behavior on your site right now.

Runs in
6sense
Demandbase
Salesforce
HubSpot
Your CRM · Known accountsSite activity
Account · ContactOwnerBuying behavior
Tallis GroupR. OkaforM. ReyesNo site activity
Corvel LogisticsD. MarshJ. KimLow · 21
Keystone AnalyticsK. OseiM. ReyesOn site now · 82
Mirada LabsL. ChenT. BurkeNo site activity
Brightpath HealthP. NairJ. KimMid · 44
Surfaced to M. Reyes: K. Osei at Keystone Analytics is buying now
Play.03 / 04
Fig.P3 — A new account, worked first · Illustrative

Buyers in net-new accounts

Find high-probability visitors from accounts you aren't working yet, and prioritize them for research, enrichment and outreach.

Runs in
ZoomInfo
Clay
Unify
11x
Halvorsen MarineNot in your CRM · New accountHigh79
Step.01
Research
Account and buying committee
Step.02
Enrich
Contacts and firmographics
Step.03
Outreach
Sequenced first

Prioritized ahead of lower-probability new accounts.

Play.04 / 04
Fig.P4 — Who gets seller time · Illustrative

Nurture vs. human handoff

Decide which prospects deserve seller time, which an agent should engage, and which are better served by nurture.

Runs in
Salesforce
HubSpot
11x
Rox
Prospect · ScoreNext step
J. AlvarezHigh84
Seller time
A rep follows up today
D. MarshMid48
Agent engages
An AI SDR runs the follow-up
S. ItoLow14
Nurture
Stays in the email program
AnonymousKnown

Probability doesn't replace account fit or deal size. It tells your team where to start.

25,000 ICP-fit accounts. 962 worth calling first.

RealVNC had 25,000 accounts that matched its ICP. Lift AI narrowed them to the 962 with high-probability visitors on the site, and returning contacts who never filled out a form, but scored High or Mid, generated 2.3× the revenue of all low-probability form fills combined.

Fig.03 — RealVNC: from ICP fit to buying now
Accounts
Returning contacts · No form fill2.3×

the revenue of all low-probability form fills combined, from contacts who scored High or Mid.

Better follow-up, from the same prospects.

Case study
19×
higher conversion

Inside their top 6sense Purchase Stage segment.

Case study
14.4×
revenue per visitor

From high-probability identified visitors who didn't fill out a form, compared with low-probability form fills.

Case study
2.3×
the revenue

From 1,476 returning non-form contacts vs. 9,148 low-probability form fills.

Read the customer stories
  • Salesforce
  • HubSpot
  • Gong
  • Salesloft
  • Outreach
  • 6sense
  • Demandbase
  • ZoomInfo
  • Clay
  • 11x
  • Unify
  • Rox
  • Attio
  • Your own agents

Where Lift AI fits in your stack.

Lift AI doesn't replace your tools or your agents. It gives them the one input they can't produce on their own, then proves whether it was right.

Fig.04 — Where Lift AI fits
Lift AI
Your stack
↺Outcomes feed back to Context

Lift AI owns the prediction at the front and the grading at the back. Your stack owns the decisions in between.

See which of your visitors are ready to buy.

Install in five minutes. In 30 days, you'll get your Buyer Probability Report: every visitor on your site, scored High, Mid or Low. Free.