Multi-Platform Ad Intelligence Across Meta and Google

The short answer

Multi-platform ad intelligence means comparing public evidence with a shared vocabulary while preserving each source’s context. Advertisng currently supports public Meta and Google ad research. It does not currently claim TikTok coverage. Use cross-platform findings to understand message consistency and format choices—not to infer spend or performance.

Start with the official public sources

Meta provides the Meta Ad Library. Google surfaces verified advertiser and ad information through the Ads Transparency Center. Availability and visible fields differ, so record the platform, country, search context, and date for every observation.

Use a shared comparison model

Across both platforms, classify the advertiser, proposition, offer, proof, objection, brand cue, call to action, visible format, and destination cue. Keep platform-specific details in separate fields. A search ad headline and a social video opening both express a hook, but they do so under different user intent and placement constraints.

Three useful comparisons

Message consistency Does the advertiser make the same core promise across Meta and Google, or adapt it to different intent?

Proof strategy Does social creative demonstrate, testify, or explain while search copy relies on a credential, price, or guarantee?

Offer timing Are visible offers coordinated across surfaces during the same collection window?

Avoid a universal winner score

A cross-platform score that calls one ad a winner hides source gaps and outcome uncertainty. Prefer an evidence matrix with confidence levels. Mark whether each field is explicit, inferred, unavailable, or contradictory.

Product boundary

Advertisng’s live research surface is designed around public Meta and Google ads and private boards. TikTok, campaign management, and private competitor metrics should not appear as current capabilities. See what the product supports and how the corpus is measured.

What public cross-platform data cannot prove

It cannot establish budget allocation, targeting, conversion rate, incrementality, or causal relationships between platform presence and business results. Use the Google-versus-Facebook decision framework for media decisions and our methodology for research decisions.