Why Intouch · Results

The numbers that matter, and how we get them.

Benchmarks from live networks, and the method behind every one of them. Each number below has a one-line definition further down the page.

70–90% gross margin on ad sales
90 days to first paid campaign
99.9% uptime SLA
<50 ms decisioning latency
60–70% creative cost reduction
~20Mimpressions a day ~600Mimpressions a month
61,000+ points live
Methodology

Written for the skeptic.

Sales lift is measured, not modeled. Four steps, the same for every campaign and every channel.

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If your analytics team wants to check our math, we will enjoy the meeting.

Weekly unit sales, campaign vs control stores
Campaign stores Matched control stores Incremental sales
CAMPAIGN FLIGHT PRE-PERIOD {{t.label}} {{t.label}} weeks from launch {{chart.pct}} lift Index: pre-period average = 100. Lift = campaign index ÷ control index, final week.
Attribution window: same store, same visit
Impression Till match
0 MIN15~30 MIN

An impression counts toward a sale only when the same store records a matching transaction inside the window, typically 30 minutes. Transactions are anonymized and aggregated before matching.

Intouch Analytics sales-lift dashboard: campaign stores against matched control stores, lift by screen zone and top stores
The trust gap 3%

of advertisers fully trust retail media self-reporting. We built for the other 97%.

Control stores, raw exports and IAB-aligned definitions. Nothing your analytics team has to take on faith.

Bring your analytics team
100 ADVERTISERSEACH SQUARE = 1
Fully trust self-reporting Want independent proof
Definitions

How each number is defined.

One line per benchmark. If a number is on this site, it is defined here, and we can show the working on a call.

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Check our math

Bring your analytics team.

We walk them through the control-store design, the attribution window and the raw exports. Hard questions welcome.

Book a methodology call