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Customer Results

Real results from real teams.

See how marketing teams and agencies use Adrsta to prove incrementality, optimize bids, and make smarter budget decisions.

Proven results

Completed studies

These studies have run to completion. Numbers are real, not platform-attributed.

Synthetic ControlCPG

PepsiCo × GIPHY

GIPHY used Adrsta's Synthetic Control to measure sales lift for PepsiCo's MUG Root Beer brand across 42 locations over 105 weeks. Adrsta's ASC algorithm showed how GIPHY's buy drove overall sales lift and how their Takeover product specifically drove fast sales results.

How it worked

  1. 01

    42 PepsiCo retail locations ingested with 105 weeks of sales history

  2. 02

    Treatment vs holdout markets identified via time-series clustering

  3. 03

    Synthetic control algorithm predicted what sales would have been without the campaign

  4. 04

    4.1% incremental lift confirmed across test markets at >60% confidence

Results

4.1%

Sales lift

average across test markets, confidence >60%

66%

Of placements drove lift

within 1–3 days of Takeover

Synthetic ControlTelecom

Fortune 100 Telecom Provider × Proxim

Adrsta's Synthetic Control helped Fortune 100 Telecom Provider measure incremental video take rate and optimize customer re-engagement campaigns — without expensive holdouts or complicated setup.

How it worked

  1. 01

    Customer and transaction records integrated directly via API

  2. 02

    Geo lift study designed and launched in under a week

  3. 03

    Treatment vs control markets compared for video take rate

  4. 04

    Post-campaign incrementality measured without disrupting business

Results

+10%

Video take rate lift

across test markets

85%

Reduction in turnaround time

from campaign setup to results

Bid OptimizerFinancial Services

Finance HQ × Disruptive Digital

Disruptive Digital used Adrsta's Bid Optimizer to activate Finance HQ's first-party data and optimize bids for lifetime value instead of short-term leads. Built on existing data infrastructure with no disruption to live campaigns.

How it worked

  1. 01

    Customer and sales data integrated directly from existing data layer

  2. 02

    First-party signals activated to identify high-LTV audience segments

  3. 03

    Custom bid multipliers applied automatically across campaigns

  4. 04

    Results delivered within minutes of data integration

Results

+20%

High-quality leads

at the same cost

+50%

Higher lifetime value

from optimised bid strategy

MMMLuxury eCommerce

With Clarity × AdVenture Media

AdVenture Media Group used Adrsta's MMM to help luxury eCommerce brand With Clarity understand granular performance across key media channels using 1.5 years of sales data. The goal: identify where to shift budget across Google and Meta to drive more sales.

How it worked

  1. 01

    1.5 years of sales data ingested across Google Brand, Google Nonbrand, Google PMax, and Meta

  2. 02

    Channel-level ROI modelled — including branded vs non-branded search and PMax shopping vs others

  3. 03

    Budget shift recommendations produced in minutes

  4. 04

    +7% paid media lift confirmed year over year

Results

+7%

Paid media lift YoY

2023 to 2024, proved by MMM

Minutes

To get model output

from raw data to full budget plan

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