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Competitive intelligence

Pathmatics, Adbeat & the digital trackers

The digital-native side of competitive intelligence — plus the free platform archives that put most of this within reach of a single seller.

Who it's for

Agencies, performance marketers, brand teams and, unusually for this section, individual sellers. This is the one category where a capable person with no corporate subscription can do real competitive work, because the largest platforms now publish their own ad archives free of charge.

The paid tools — Pathmatics, now part of Sensor Tower, and Adbeat on the display side, with Semrush, Ahrefs and SpyFu on the search side — serve teams that need historical depth, cross-advertiser comparison and export.

What it sets out to do

To reconstruct a competitor's digital activity from the outside: which creatives ran, on which sites and platforms, over what period, with modeled impressions and estimated spend. Pathmatics is strongest on social and display creative with spend modeling; Adbeat focuses on display and native placement and publisher mix; Semrush, Ahrefs and SpyFu reconstruct paid and organic search — the keywords being bid on, the ad copy, and the estimated monthly budget.

The free archives do something narrower but with perfect fidelity. Meta's Ad Library shows every ad currently running from any Facebook or Instagram page, with start dates and, for political and issue ads, spend ranges. Google's Ads Transparency Center does the equivalent for Google's inventory, including YouTube.

Where the data comes from

Three collection methods. Panels — browsing data from consenting users, showing which ads were served to real people. Crawlers — automated systems that visit sites and record what served. And direct platform disclosure, which is what the free archives are: the platform publishing its own record of what it accepted.

Spend figures in the paid tools are modeled from observed impressions multiplied by estimated rates. They are not billing records and should never be presented as such.

When it's current, and when it goes stale

Extremely current. The free archives are effectively live — you can see what a local business is running right now, today. Paid panel and crawler data typically lags by days.

The staleness risk runs the other way here: this data is so fresh that it is easy to over-read. A competitor running a two-week burst is not a strategy shift. Look for pattern over weeks before drawing a conclusion, and note that the free archives generally show currently running ads rather than a full history, so a gap may mean the campaign ended rather than that it never existed.

Why it matters

For a local seller, this is the highest ratio of usable insight to cost of anything on this site. Before a call you can establish, in ten minutes and for nothing, whether a prospect is running Meta ads, what those ads say, how long they have been live, how many variants are in rotation, and whether they are also on Google and YouTube. That is a factual opening rather than a guess.

It also disciplines the conversation. A business that insists it does no advertising, with fourteen active Meta creatives, is having a different conversation once the archive is on screen.

When updates land

  • Meta Ad Library and Google Ads Transparency Center — continuous and public.
  • Pathmatics, Adbeat — typically daily refresh with a short lag.
  • Semrush, Ahrefs, SpyFu — search databases refreshed monthly, with some daily position tracking.

How it gets compiled

Panel providers record ads served to opted-in users and project that sample to a population estimate. Crawlers sample pages at scale and log creatives, placements and landing pages. Search tools reconstruct paid activity by repeatedly querying keyword sets and recording which advertisers appear, then estimating budget from position, keyword volume and modeled cost per click.

Every one of these is an inference from a sample except the platform archives, which are a disclosure. That distinction should govern how confidently you cite each one.