PREDICTION + INDEPENDENT MEASUREMENT

Predict before you spend.
Prove after you run.

Evidence-based campaign decisions before launch. Independent verification of who campaigns reach — and what they change — from direct responses of real users.

Book a Demo Explore Solutions

ONE METHODOLOGY · TIKTOK / META / OPEN WEB

CAMPAIGN EVIDENCE LOOP

SCHEMATIC VIEW

PREDICTExpertease: Creative B lands strongest with intended personas

ACTIVATEFlight live across TikTok + Meta

MEASURESpot-On: verified reach · C.E.S.: exposed vs control in field

PROVEEvidence below — exposed against control

AD RECALL · EXPOSED VS CONTROL

EXPOSED31.6%

CONTROL20.3%

+75.6%RELATIVE UPLIFT
SIGNIFICANT (≥10%)

THE PROBLEM

Performance ≠ Effectiveness

Delivery metrics tell you whether advertising was served, viewed or clicked. They do not tell you whether it changed anything.

WHAT PLATFORMS REPORT

Served

Viewed

Clicked

Reported by the platforms that also sell the media.

WHAT DATAEXPERIEN MEASURES

Who saw it?

Were they the right people?

What changed?

How we differ →

SOLUTIONS

Two suites. One evidence loop.

Predict what's next before launch. Prove what happened during and after — from direct responses of real people.

AI AUDIENCE INTELLIGENCEExpertease"How will this campaign land — before launch?" AUDIENCE DISCOVERYGrowth Audience Detection"Who should we be reaching that we aren't?" AUDIENCE VALIDATIONSpot-On Score"Did we reach the right people?" CAMPAIGN EFFECTIVENESSC.E.S."Did anything change?"

Explore all solutions →

WHO IT'S FOR

One evidence loop.
Three ways in.

01For BrandsPredict the plan, prove the campaign, find the audiences you never reached.EXPERTEASE · C.E.S. · GROWTH AUDIENCE 02For AgenciesProve effectiveness to the client and verify the media owner hit the target.C.E.S. · SPOT-ON SCORE 03For Networks & SSPsOffer live effectiveness as an add-on and prove your inventory works.C.E.S. PLATFORM ACCESS

HOW WE DIFFER

Competitors model the effect. We measure it.

No panel universe, no cookie matching, no holdout budget. Real, not-yet-exposed people from the campaign's own target audience — while it is still running.

See the full comparison →

PANEL / DMP-BASED

DATAEXPERIEN C.E.S.

After the campaign, in delayed waves

While the campaign is running

PSA or holdout sacrifices impressions

Zero media cost

A weighted final score

Raw counts, open methodology, live

PROOF

Measurement is useful when it changes a decision.

AUTOMOTIVE+36.3%MESSAGE ASSOCIATION UPLIFTExposure moved audiences beyond awareness, into message understanding and vehicle consideration. BEAUTY & PERSONAL CARE+28.6%COMPETITIVE PERCEPTION UPLIFTExposed consumers rated the product more positively against competing products. BEVERAGE+38.0%PURCHASE INTENT UPLIFTA strong purchase-intent signal, separated from weaker perception signals.

Explore the evidence →

What should your next campaign do?

Predict it before launch. Prove it in market.

Book a Demo partner@dataexperien.com

MEASURE. VERIFY. ELEVATE.

SOLUTIONS

Two suites. One evidence loop.

Predict what's next before launch. Prove what happened during and after. The same methodology — direct responses from real people — from the first creative decision to the final report.

01 · BEFORE LAUNCH

PREDICTION SUITE

AI AUDIENCE INTELLIGENCE

PREDICTION SUITE

"How will this campaign land — before launch?"

Expertease turns real-world audience data into AI persona focus groups for creative, messaging and media decisions before budget is committed. Build a persona panel from a plain-language brief, run a creative against it, ask your own questions.

Readiness score and per-KPI scorecard

A/B 2–5 variants; attention, message-clarity and brand-lift lenses

Per-persona reactions, objections and a recommendation

AN ADVISORY TOOL, NOT ANOTHER REPORTExpertease →

AUDIENCE DISCOVERY

PREDICTION SUITE

"Who should we be reaching that we aren't?"

Growth Audience Detection identifies audiences outside your traditional campaign target who already show genuine intent — output as an actionable targeting segment built on real response and behavioural data.

Users your targeting signals exclude, yet who aim to buy

Growth Audience Profile: demographics, interests, purchase drivers, reach channels

Delivered as a segment for the next flight

GENUINE INTEREST, OUTSIDE THE DEFINITIONGrowth Audience Detection →

CAMPAIGN GOES LIVE

02 · DURING / AFTER LAUNCH

MEASUREMENT SUITE

AUDIENCE VALIDATION

MEASUREMENT SUITE

"Did we reach the right people?"

Spot-On Score verifies whether the people who actually saw the campaign match the intended audience — two questions, core interest and behavioural proof, asked to the audience already served on TikTok and Meta.

Spot-On % · Target Match Rate · Off-Target Exposure

Interest and behavioural on-target scores per platform

Stop / Optimise / Good / Excellent verdict, live

DECLARED INTEREST + PROVEN BEHAVIOURSpot-On Score →

CAMPAIGN EFFECTIVENESS

MEASUREMENT SUITE

"Did anything change?"

C.E.S. measures campaign impact by comparing exposed and unexposed control audiences — both drawn from the campaign's own target audience — across ad recall, brand recall, purchase intent, message association and related KPIs.

Relative uplift = (Exposed − Control) ÷ Control; ≥10% = significant

Live dashboard with raw counts and open methodology from week two

One methodology across TikTok, Meta and open web

EXPOSED VS UNEXPOSED CONTROLC.E.S. →

Book a Demo How we differ →

01 · FOR BRANDS

Know before you spend. Prove after you run.

Brand teams own the outcome. Dataexperien gives them evidence at every stage: predicted performance before launch, verified effectiveness while the flight is live, and the audiences the campaign never touched.

PREDICTExpertease — test creative and plan on personas

MEASUREC.E.S. — exposed vs control, live, benchmarked

GROWGrowth Audience — find who you never reached

EXPERTEASE · BEFORE LAUNCH

PREDICTION SUITE

"Will this creative and media plan land?"

Two creative routes, a media plan and a launch date three weeks out. Run both routes against real-mirror human personas built from your actual audience, ask them the questions a focus group would hear, and get a readiness score with per-persona reactions and a recommendation — before a single impression is bought.

Predict the success of every creative and media plan before each campaign

Run focus groups in seconds and ask the personas your own questions

A/B 2–5 variants through attention, message-clarity and brand-lift lenses

FOCUS GROUP IN SECONDSExpertease →

C.E.S. · DURING AND AFTER

MEASUREMENT SUITE

"Did the campaign actually change anything?"

The flight is live across TikTok, Meta and open web. C.E.S. compares people who saw it with unexposed users from your own target audience on ad recall, brand recall, purchase intent and message association — and ranks the result against your sector's benchmarks, so you know whether a +12% uplift is strong for your category or merely average.

Exposed vs control, relative uplift, ≥10% significance

Track branding campaign success against industry benchmarks

Live dashboard with raw counts and open methodology from week two

ONE METHODOLOGY · EVERY PLATFORMC.E.S. →

GROWTH AUDIENCE · NEXT FLIGHT

PREDICTION SUITE

"Who are we not reaching — and should be?"

Your targeting cluster is defined by age, interest and past buyers. The people who buy your product for a use case you never planned for sit outside it. Growth Audience Detection finds the potential users your campaigns never touch who already intend to buy, and turns them into a segment the next flight can target.

Detect untouched potential users outside your current targeting

Growth Audience Profile: demographics, interests, purchase drivers, channels

Delivered as an actionable targeting segment

GENUINE INTENT, OUTSIDE THE DEFINITIONGrowth Audience Detection →

Book a demo for your brand For Agencies →

02 · FOR AGENCIES

Prove the plan to the client. Hold the media to its promise.

Agencies answer to the client and to the media owner at the same time. C.E.S. proves what the campaign did for the brand; Spot-On proves the media reached who it said it would — and lets you fix it while the flight is still running.

C.E.S. · CLIENT REPORTING

MEASUREMENT SUITE

"Did the branding campaign deliver for the client?"

The client's board wants one answer, not five platform dashboards. C.E.S. measures exposed vs control on the same methodology across TikTok, Meta and open web, benchmarks the uplift against the client's sector, and hands you a report that stands independently of the platforms that sold the media.

Measure campaign effectiveness on one methodology across every platform

Track branding campaign success against sector benchmarks

Independent, board-ready report with raw counts and open methodology

INDEPENDENT OF THE PLATFORMS THAT SELL THE MEDIAC.E.S. →

SPOT-ON SCORE · MEDIA VERIFICATION

MEASUREMENT SUITE

"Did the media owner target who they said they would?"

A platform claims the campaign reached in-market women 25–44. Spot-On asks the audience that was actually served two questions — core interest and behavioural proof — and returns separate interest and behavioural on-target scores per platform. If a line item falls below threshold mid-flight, you reallocate before the budget is gone.

Verify whether each platform targets the way it claims

Interest and behavioural on-target scores, per platform and per line item

Optimise on-target delivery during the campaign: Stop / Optimise / Good / Excellent

DECLARED INTEREST + PROVEN BEHAVIOURSpot-On Score →

MID-FLIGHT · ILLUSTRATIVE

INTEREST68

BEHAV.41

OPTIMISEShift budget from the underperforming line item

Pitching? Expertease pre-tests creative routes on personas before the client sees them, and Growth Audience Detection gives the next plan an audience the competition hasn't found. Prediction Suite →

Book a demo for your agency For Networks & SSPs →

03 · FOR NETWORKS & SSPs

Turn measurement into a product your advertisers pay for.

Delivery reports tell your buyers what was served. Give them what platform metrics can't: independent evidence that your inventory changed perception and intent — sold as an add-on, run by Dataexperien, branded around your platform.

01Advertiser books a campaign on your inventory

02You provision C.E.S. platform access as the add-on

03Tags sit on the line items; the study runs on the campaign's own audience

04Live effectiveness report next to delivery — proof for brand and agency

C.E.S. PLATFORM ACCESS · ADD-ON

MEASUREMENT SUITE

"Can we offer live effectiveness reporting to our clients?"

Your advertiser gets C.E.S. platform access alongside their booking. From week two they watch ad recall, brand recall and purchase intent move — exposed vs unexposed control, raw counts visible — on a live dashboard next to the delivery numbers they already see. You sell the add-on; Dataexperien runs the study.

Provide your customers C.E.S. platform access as a productised add-on

Live effectiveness report from the campaign's own audience — no holdout budget, no creative approvals

Per campaign or across your book: mobile gaming, rewarded video, playable, display, audio

YOU SELL IT · WE RUN ITC.E.S. →

PLATFORM PROOF · SALES ENABLEMENT

MEASUREMENT SUITE

"Can we prove our inventory works — to brands and their agencies?"

Every study on your inventory adds to a body of evidence: uplift by format, by vertical, against the sector benchmark. It becomes the proof point in renewals, pitches and rate conversations — measured by an independent third party, not by the platform selling the media.

Prove your platform's effectiveness to brands and agencies with independent measurement

Benchmark your inventory against the category, format by format

Case-study-ready results your sales team can put in front of the next buyer

THIRD-PARTY VERIFIEDCase studies →

Talk about a partnership How we differ →

HOW WE DIFFER

Competitors model the effect. We measure it.

Panel and DMP-based lift measurement infers a campaign's effect from a separate universe. C.E.S. asks the campaign's own audience, while the campaign is still running.

PANEL / DMP-BASED MEASUREMENT

DATAEXPERIEN C.E.S.

Control group

A panel universe, or any user who did not see the campaign

Real, not-yet-exposed people from the campaign's own target audience

Data source

Modelled segments plus cookie or ID matching

Direct survey responses

Timing

After the campaign, in delayed waves

While the campaign is running, instantly

Privacy dependency

Depends on third-party cookies and device ID matching

Independent — no third-party cookie matching

Media cost

PSA or holdout sacrifices impressions

Zero — no impressions or budget given up

Optimisation

None; results arrive after the flight ends

Live, from the week-2 mid-term wave onward

Transparency

A weighted final score

Raw counts and open methodology on a live dashboard

A panel is a separate universe; matching a campaign to it is an inference. Recall also decays, so a delayed wave measures memory bias as much as effect.

METHODOLOGY IN ONE LINE

Relative uplift = ((Exposed% − Control%) ÷ Control%) × 100

CONTROLUnexposed users from the campaign's own target audience — no PSA, no holdout line

SIGNIFICANCE≥10% relative uplift reported as significant; every percentage shown with its respondent count

TIMELINEKickoff parallel with setup · mid-term wave in week 2 · final report two days after the flight ends

Book a Demo Case studies →

CASE STUDIES

Measurement is useful when it changes a decision.

Real campaign evidence, anonymised by sector. Each study starts with the business question, shows the measured difference between exposed and control audiences, and explains what that evidence made visible.

Campaign studies compare exposed audiences with an unexposed control group. Relative uplift is reported against control. Study-level reporting thresholds follow the methodology applied to each campaign.

CASE 01AUTOMOTIVE · CAMPAIGN EFFECTIVENESSPLUG-IN HYBRID VEHICLE CAMPAIGN · MOBILE GAMING ADVERTISING

01BUSINESS QUESTION

Did the campaign change how drivers perceived plug-in hybrid vehicles?

02EVIDENCE

+36.3% MESSAGE ASSOCIATION UPLIFT ABOVE REPORTING THRESHOLD

MEASURED EFFECT · EXPOSED VS CONTROL

BRAND FAMILIARITY

CONTROL22.8%

EXPOSED28.1%

CORE MESSAGE ASSOCIATION

CONTROL19.3%

EXPOSED26.4%

PURCHASE CONSIDERATION

CONTROL17.4%

EXPOSED21.5%

050%

BRAND LIFT+22.9%ABOVE REPORTING
THRESHOLD

MESSAGE ASSOCIATION+36.3%ABOVE REPORTING
THRESHOLD

PURCHASE INTENT+23.8%ABOVE REPORTING
THRESHOLD

All three measured KPIs exceeded the study's reporting threshold.

03INTERPRETATION

WHAT THE EVIDENCE SHOWED

Campaign exposure strengthened familiarity with the plug-in hybrid offering, improved association with its core efficiency message, and increased purchase consideration.

WHAT IT ENABLED

The brand gained evidence that the campaign was moving audiences beyond awareness — into message understanding and vehicle consideration.

CASE 02BEAUTY & PERSONAL CARE · CAMPAIGN EFFECTIVENESSPERSONAL CARE CAMPAIGN

01BUSINESS QUESTION

Did exposure change how consumers rated the product against competitors?

02EVIDENCE

+28.6% COMPETITIVE PERCEPTION UPLIFT ABOVE REPORTING THRESHOLD

COMPARISON RANK · RATED BETTER THAN ALTERNATIVES

RATED ABOVE COMPETING PRODUCTS

CONTROL24.9%

EXPOSED32.0%

050%

+7.1PTS ABSOLUTE DIFFERENCE

+28.6%RELATIVE UPLIFT VS CONTROL

AD RECALL+13.2%ABOVE REPORTING
THRESHOLD

CONSIDERATION+14.7%ABOVE REPORTING
THRESHOLD

COMPARISON RANK+28.6%ABOVE REPORTING
THRESHOLD

All three measured KPIs exceeded the study's reporting threshold.

03INTERPRETATION

WHAT THE EVIDENCE SHOWED

Consumers exposed to the campaign were more likely to remember the advertising, consider the product, and rate it more positively against competing products.

WHAT IT ENABLED

The team could see that the campaign was not only generating recall — it was improving the product's position in consumers' competitive set.

CASE 03BEVERAGE · CAMPAIGN EFFECTIVENESSBEVERAGE CAMPAIGN

01BUSINESS QUESTION

Did the campaign move consumers closer to purchase?

02EVIDENCE

+38.0% PURCHASE INTENT UPLIFT ABOVE REPORTING THRESHOLD

PURCHASE INTENT · VERY LIKELY TO CONSIDER FOR NEXT PURCHASE

EXPOSED VS UNEXPOSED CONTROL

CONTROL31.3%

EXPOSED43.2%

050%

+11.9PTS ABSOLUTE DIFFERENCE

+38.0%RELATIVE UPLIFT VS CONTROL

PURCHASE INTENT+38.0%ABOVE REPORTING
THRESHOLD

MESSAGE ASSOCIATION+6.4%DIRECTIONAL ·
BELOW THRESHOLD

COMPARISON RANK−6.7%DIRECTIONAL ·
BELOW THRESHOLD

One measured KPI exceeded the study's reporting threshold; the remaining two stayed below it and are reported as directional only.

03INTERPRETATION

WHAT THE EVIDENCE SHOWED

Campaign exposure produced a significant increase in consumers who said they were very likely to consider the product for their next purchase.

WHAT IT DIDN’T SHOW

The same campaign did not produce meaningful movement across every measured brand metric.

WHAT IT ENABLED

The evidence separated a strong purchase-intent signal from weaker perception signals — showing precisely where the campaign was working.

What did your campaign actually change?

Measure the difference between delivery and real audience impact.

Book a Demo Explore the methodology

COMPANY

Independent measurement for people who buy media.

Dataexperien is a campaign measurement and prediction platform. We sit between the brand, the agency and the platform that sells the media — and report what the audience itself says.

WHAT WE BELIEVE

Match rate isn't enough. Post-delivery verification is the next standard.

HOW WE WORK

Live dashboards, raw counts and open methodology. No creative files, no image approvals, no extra media budget.

Book a Demo partner@dataexperien.com

BOOK A DEMO

What should your next campaign do?

Predict it before launch. Prove it in market. Tell us about the campaign and we'll set up a 30-minute walkthrough of the platform with your own use case.

WHAT WE NEED FROM YOU

Main KPI, target audience, campaign structure (line items, dates) and the creative — for context only, never shown to respondents.

TIMELINE

Kickoff runs parallel with campaign setup. Mid-term wave in week two. Final report two days after the flight ends. Minimum flight: three weeks.

DIRECT

partner@dataexperien.com

ALSO

How we differ →Case studies →

Predict before you spend.Prove after you run.

Performance ≠ Effectiveness

Two suites. One evidence loop.

One evidence loop.Three ways in.

Competitors model the effect. We measure it.

Measurement is useful when it changes a decision.

What should your next campaign do?

Two suites. One evidence loop.

"How will this campaign land — before launch?"

"Who should we be reaching that we aren't?"

"Did we reach the right people?"

"Did anything change?"

Know before you spend. Prove after you run.

"Will this creative and media plan land?"

"Did the campaign actually change anything?"

"Who are we not reaching — and should be?"

Prove the plan to the client. Hold the media to its promise.

"Did the branding campaign deliver for the client?"

"Did the media owner target who they said they would?"

Turn measurement into a product your advertisers pay for.

"Can we offer live effectiveness reporting to our clients?"

"Can we prove our inventory works — to brands and their agencies?"

Competitors model the effect. We measure it.

Measurement is useful when it changes a decision.

Did the campaign change how drivers perceived plug-in hybrid vehicles?

WHAT THE EVIDENCE SHOWED

WHAT IT ENABLED

Did exposure change how consumers rated the product against competitors?

WHAT THE EVIDENCE SHOWED

WHAT IT ENABLED

Did the campaign move consumers closer to purchase?

WHAT THE EVIDENCE SHOWED

WHAT IT DIDN’T SHOW

WHAT IT ENABLED

What did your campaign actually change?

Research on how advertising actually works.

Independent measurement for people who buy media.

What should your next campaign do?

Predict before you spend.
Prove after you run.

One evidence loop.
Three ways in.