AudienceLift · For advertisers
Turn your first-party data into a performance growth engine.
AudienceLift enriches your first-party data with real open-web behaviour, turns it into audience personas, and activates them across Meta, Google and programmatic, with one measurement layer spanning all three.
30–50%
reduction in CPA
800m
open-web users in our identity graph
15%
of AudienceLift-driven media spend, the whole fee
Broad automation is quietly making your media worse.
Advantage+ and PMax promise scale, then remove the levers your team needs to steer. Four things follow.
Audience saturation
Campaigns built on event-based seed audiences flatline. Reach stops growing, performance decays, and the same people are reached again and again.
Customer blindness
Fewer experiments and no audience-level insight. The brand steadily loses the ability to describe who its customers actually are.
Rising media costs
Broad targeting buys low-quality and redundant traffic. CPAs climb just to hold volume steady, and the increase compounds.
Loss of strategic control
When performance drops, the platform's answer is more budget so the algorithm can learn faster. ROAS breaks while you fund the experiment.
Same data, same targeting, same users, and no learning to show for any of it.
Four steps. One audience layer across every channel.
AudienceLift runs on your own media seats. There is no new buying platform to learn and no change to how your team works.
01
Ingest
We map your first-party data, meaning 100% of the people already engaging with your site, to a persistent cross-site ID.
02
Enrich
Their behaviour across the open web turns static records into dynamic personas with genuine intent signals.
03
Activate
Bespoke, high-intent audiences are pushed straight to your own seats in Meta, Google and programmatic.
04
Analyse
Real-time reporting on which personas convert, on attribution windows harmonised across all three channels.
The foundation: a deterministic, persistent cross-domain identity graph covering 800 million open-web users across thousands of publishers.
Personas built on what your customers do when they are not on your site.
01 / 03
Social platforms only see behaviour inside their own app. AudienceLift maps authentic behaviour across the open web.
- Connect. First-party data is linked to real-time behavioural signals from thousands of publishers using a deterministic, persistent, cross-site ID.
- Discover. Audience personas emerge: a picture of your customers and prospects built from open-web interest and intent, not just on-site events.
- Prioritise. Each persona carries a propensity to convert, so you know which persona fits which campaign before you spend against it.
01 / 03
Find out who your customers actually are.
Most brands can describe what their customers clicked. Very few can describe who they are.
AudienceLift returns a standing view of your customer base and your prospect pool: the interests and intent they express across the open web, how those cluster into personas, how each persona is sized, and how likely each is to buy.
That is data Meta and Google do not share with you, and largely cannot, because they never see it. It is also different in kind from a static demographic match delivered through a clean room. This is dynamic, cross-domain intent, shared in real time through pixels and APIs, and it is yours to keep.
Use it to write the brief, not just to run the campaign.
One measurement layer across three channels.
Each platform grades its own homework. AudienceLift measures all of them on the same terms.
Post-view and post-click
Conversions attributed across channels by persona, so you can see which audiences are working and where, not just which platform claims the credit.
Everything else you run
The Anonymised tag also measures post-click conversions from campaigns that use no AudienceLift data at all.
Harmonised windows
A stable ID aligns attribution windows of up to 90 days, mapping conversions across the entire funnel rather than the last touch.
Channel contribution
Reports show what each channel actually contributed towards your goals, which is what lets you move budget with confidence.
Last-touch and multi-touch attribution, from one tag. No clean-room build, no data-warehouse project, no integration cost.
Cross-channel multi-touch attribution is available as a paid add-on alongside AudienceLift.
One framework for the whole funnel.
The same persona set drives awareness, consolidation and conversion, which is what makes performance comparable across them.
01
Awareness
Lookalike personas seeded from your highest-propensity converters, rather than broad interest targeting.
02
Consolidation
Sustained exposure to in-market personas, with existing converters excluded in real time.
03
Conversion
Retargeting the personas showing the strongest intent at the point the decision is made.
One ad set, asset group or line item per persona keeps the framework measurable across channels. You review persona and channel performance and move budget accordingly. The platform does not decide for you.
You pay a share of the media the data actually touches.
15% of the spend on the ad sets, asset groups and line items that use AudienceLift data or insights, including persona-informed search themes. That is the entire AudienceLift fee.
- No onboarding fee. No setup cost, no implementation charge.
- No minimum. No minimum spend, no minimum fee.
- Multi-touch attribution. Sold alongside AudienceLift, subject to a £1,000 minimum fee.
If a campaign does not use AudienceLift data, it does not carry a fee.
Results
Automotive · Google & Meta
Target CPA cut by 63% on Google (£29.70 from a historical £79.65) and 57% on Meta (£21.51 from £50.23). The Google result beat the client's best-ever recorded performance for that model.
Banking · Google
CPA halved on a Search-saturated account: $87 from a historical $168, a 48% reduction, with spend redistributing across YouTube, Discovery and Search. The audience brief was the constraint, not the bidding.
Retail · Meta
48% lower CPA than a concurrent live control group: £36.70 against £70.70. Measured against a control running at the same time, not a historical baseline.
Charity · new product launch
No historical data. The brief specified middle-aged men interested in sport; the audience that converted was young men who are heavy consumers of technology. CPA down 35% in six weeks.
Stop buying reach. Start buying intent.
Surgical precision
Target humans, not clicks. Every persona is grounded in real open-web behaviour.
100% portability
Unified audience data across ecosystems, owned by you rather than trapped in a platform.
Reclaim control
Audience strategy, budget allocation and creative decisions move back to your side of the table.
Buying open-web inventory as well? Anonymised curation packages the same cohorts as deals that reach audiences no identifier can address.