Datapods
Use Case

See where your advertising lands. And what happens next.

Which channels really reach your audience, which ones competitors hold them through, and what people do after ad contact: search, download the app, buy, or nothing at all. Observed across social, video, search, newsletters and apps.

Observed ad contacts and what followed them. No recall questionnaire.

Observed sequence · after ad contact
Day 1Instagram adFirst contact with the campaign
Day 1Google searchBrand name plus product category
Day 2Second ad contactThis time before a YouTube video
Day 3App downloadRetailer app installed, coupon section opened
Day 5PurchaseE-receipt after the third contact
How it works

From behavior to answers. And back.

01

See ad contact in behavior

Where your ads and your competitors' ads actually ran: on which platform, how often, and to whom.

02

Understand the competitive channel mix

Which channels connect audiences to other brands: newsletter, app, search, social. That is where you see the gap in your own set.

03

Measure what follows contact

What happens after ad contact, and after how many: search, app download, shop visit, purchase. In the order it really happened.

A question you could ask tomorrow

Where did customers see our ads, and what did they do afterwards?

What you get

Ad contact across platforms

Ads seen on social, video and the open web, linked per person rather than counted per channel.

Competitive channel binding

Newsletters, apps, search, social: the channels other brands use to hold your audience.

Sequence, not clicks

What comes after contact, with timing and order. Not an attribution model, the observed path.

Reach in context

Search volume, app usage and social presence next to your competitors'.

Why our data wins here
845M+

TikTok interactions in the panel: we see which content actually gets watched.

1.6B+

YouTube views in the panel: media use observed, not self-reported.

Meta

Viewed ads and ad interests: who your campaign actually reached.

Powered by the Datapods app
25,000+people in the panel, verified through connected accounts
11B+behavioral data points across 12 platforms
100%opt-in: every share is a conscious, paid decision
GDPRnative & EU-hosted. Never used to train open models.

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