Competitive intelligence, derived from where no one else is looking.
Roblec observes anonymized network telemetry from ISP and wireless carrier partners to estimate what brands spend on advertising — by channel, by week, with no reliance on pixels, panels, or platform self-reporting.
What We Observe
Aggregated, anonymized traffic patterns across ISP networks reveal which advertising platforms receive traffic, at what volume, and in what patterns. This is not browsing history — it's aggregate signal data, similar to how a city traffic engineer reads highway sensors without tracking individual cars.
Our observation layer covers the major advertising platforms where ecommerce and subscription brands concentrate their spend: Meta, Google, TikTok, CTV networks, and programmatic exchanges. The data updates daily.
How We Resolve It
Our models correlate network-level signals with known advertising platform signatures to estimate spend volume by channel. We validate against ground-truth data from participating advertisers to calibrate our estimates continuously.
The modeling layer accounts for seasonality, platform-specific traffic patterns, and the difference between organic and paid activity. The result is a spend estimate with documented confidence intervals — not a black-box number presented as fact.
What You Get
A competitive intelligence dashboard showing estimated ad spend by brand, broken down by channel, updated daily. Search for any ecommerce or subscription brand in our coverage universe.
The output is designed for the decision-makers who allocate budgets: marketing executives, growth leads, and the finance partners who approve their plans. Every number includes a confidence range, and every trend is contextualised against category benchmarks.
What marketers currently settle for.
Conventional approaches
Panel-based estimates
Directional accuracy, weeks of delay, gaps below enterprise scale. Built for TV-era measurement applied awkwardly to digital.
Ad library scrapers
See creative, not spend. Useful for inspiration, unreliable for budget intelligence. Coverage gaps across platforms.
Platform self-reporting
Each walled garden marks its own exams. Overlap, double-counting, and misattribution are features, not bugs.
Traffic-based proxies
Similarweb-style estimates infer spend from traffic. The correlation is loose, the lag is long, and the channel detail is absent.
Network-level intelligence
Observed, not estimated from proxies
Network telemetry provides direct observation of advertising platform activity — not inferences from traffic or survey panels.
Daily updates, not quarterly reports
See shifts in competitor spend within 24 hours. React to market changes in days, not months.
Channel-level granularity
Meta, Google, TikTok, CTV, programmatic — each broken out separately. Not "total digital" bundled into a single number.
Independent of platforms and agencies
No conflicts of interest. No one grading their own homework. An external reference point for your budget decisions.
Built for decisions that matter.
Competitive benchmarking
Know what your category peers are spending, by channel, before your next budget review. Benchmark your allocation against brands that are outperforming you — and identify where they're investing that you're not.
Channel allocation validation
Test whether your media mix matches or diverges from brands outperforming you. Identify over-indexed channels where you're spending more than competitors with better results.
M&A and investment diligence
Evaluate a target's true marketing spend without relying on their self-reported numbers. Understand customer acquisition costs and channel dependency before making investment decisions.
Agency accountability
Verify that your agency's competitive framing reflects actual market activity, not selective data. Hold partners accountable with an independent source of truth on competitive spend.
Better data. Better decisions. See it live.
Book a Demo30-minute call. No commitment. We'll show you live data.