−67% cost per lead. Same ad budget.

Lift AI adds Website Buyer Context to your ad platforms, so your targeting, retargeting and bids follow the visitors most likely to buy, not the ones most likely to click.

See Your Buyers See how it works

Fig.01 — One retargeting pool, split by Buyer Probability

Illustrative

Retargeting pool · every site visitor

HighMidLow

BandBudget follows probability

High

4 visitors

Bid up · Maximum saturation

Mid

14 visitors

Moderate retargeting

Low

42 visitors

Suppressed

Most of your retargeting budget follows visitors who'll never buy.

Retargeting pools treat every site visitor alike, so spend spreads across the whole audience, and most of that audience was never going to buy. Platforms optimize toward the clicks and conversions they can see, and as ad buying becomes more automated, every weak targeting signal gets scaled faster.

Fig.02 — One pool, one treatment

Illustrative

Spend, spread evenly across the poolSame bid · Same frequency · Same creative

Likely buyerUnlikely to buy

Predict. Guide. Prove. For every ad dollar.

01 · Predict

0–100 · Real time

Buyer Probability Score

Decide who to target, bid up, retarget or suppress, based on how likely each visitor is to buy.

Low

Mid

High

02 · Guide

Plain language · Per visitor

Buyer Context Brief

Match creative to what each audience actually cares about, using Areas of Focus.

Buyer Profile

Areas of Focus

Behavioral Trace

Recommended Action

03 · Prove

Pipeline · Revenue

Revenue Loop

See whether probability-based audiences delivered cheaper leads and more revenue.

Outcome Validation

Performance Measurement

Agent Learning Loop

Let probability decide where the spend goes.

06 default plays · Each runs in the ad platforms you already use

Play.01 / 06

Fig.P1 — Audience from probability · Illustrative

Probability-based audiences

Build custom audiences from High and Mid visitors, including anonymous ones, as early as your stack allows.

Runs in

Google

Meta

The Trade Desk

Site visitors

Custom audience · High + Mid

10visitors · 8 anonymous

30 Low · Not included

AnonymousKnown

Play.02 / 06

Fig.P2 — A better seed · Illustrative

Lookalike audiences

Seed lookalikes from your high-probability audiences instead of all site traffic, so your platforms go looking for more people who behave like real buyers.

Runs in

Meta

Google

Seed · All traffic

Lookalikes found

Seed · High probability

Lookalikes found

Your high-probability visitorsLookalikes that behave like buyersOther lookalikes

Play.03 / 06

Fig.P3 — Stop paying for Low · Illustrative

Suppression

Stop paying to retarget low-probability visitors, or reach them at a lower cost.

Runs in

Google

Meta

The Trade Desk

Retargeting pool

Low · Suppressed

Retargeting spend on Low-probability visitors

BeforeMost of the pool

AfterSuppressed or lower-cost

Play.04 / 06

Fig.P4 — Bids by band · Illustrative

Bids and budget allocation

Put top-of-range bids and high-saturation retargeting behind High visitors, and moderate spend behind Mid.

Runs in

The Trade Desk

Google

6sense

Demandbase

FloorBidTop of range

High

Top-of-range bids · Maximum saturation

Mid

Moderate spend · Moderate retargeting

Low

Floor or off · Suppressed or deprioritized

Play.05 / 06

Fig.P5 — Creative from Areas of Focus · Illustrative

Creative guidance

Use the Buyer Context Brief's Areas of Focus to match ads to what each audience actually cares about.

Runs in

Meta

Google

Area of Focus · from the BriefAd shown

IntegrationsFocus.01

AdThe integration story

SecurityFocus.02

AdSecurity and compliance proof

Pricing and ROIFocus.03

AdThe ROI case study

Play.06 / 06

Fig.P6 — The signal platforms train on · Illustrative

Acquisition optimization

Stop training Google and Meta on form fills and page views, which aren’t reliable signs of intent. Send high-probability visits as the conversion signal instead, so their bidding self-trains on the traffic most likely to buy.

Runs in

Google

Meta

Conversion signal you sendWhat bidding optimizes toward

Form fillsToday

Learns to findMore form-fillers

Page viewsToday

Learns to findMore browsers

Instead

High-probability visitsLift AI

Learns to findMore likely buyers

Probability guides spend. Your team and platforms still decide how much risk to take.

Same budget. Different buyers.

Fig.03 — The same budget, allocated two ways

Illustrative

Spread evenly across all visitors100% of budget

HighMidLow

Reallocated by band100% of budget

HighMidLow

High

Maximum saturation, top-of-range bids.

Mid

Moderate retargeting, proof-led creative.

Low

Suppressed or deprioritized.

Cheaper leads, and more of them.

Case study

−67%

cost per lead

+200%

lead volume

On a flat ad budget.

Read the RealVNC story

Where it runs.

See all integrations

The Trade Desk
Google
Meta
LinkedIn
6sense
Demandbase
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

01 · Data

Your website

Every visit, every visitor, known or anonymous. First-party behavior, captured in real time.

→

02 · ContextLift AI

Lift AI turns that behavior into Website Buyer Context: a Buyer Probability Score and Buyer Context Brief for every visitor. Combined with the identity, signal and relationship context you already have, it becomes Connected Context.

Connected Context

IdentitySignalRelationship

Context Graph

Website Buyer Context

Score + Brief

→

03 · Decisions