Honest comparison

Where we win, where we lose, where the answer is something else

Every comparison matrix on the internet is rigged by whoever made it. Ours is rigged too — but in your direction. Each row was reviewed by Customer Advisory and an independent industry analyst named on /independence.

Scenarios where we win

Multi-platform, regulated, agency, treasury

Scenarios where we lose

Sub-€500k single platform

Tied

Legacy ERP investment intact

Different category

Ad-ops · custom data team

Scenario	Honest alternative	Verdict	Why
Single platform (Meta only), under €500k / yr	Native Meta tools + a controller in Excel	They win	Our floor pricing on /price-list is honest about this. Below this spend, the native tools plus a disciplined controller are cheaper and sufficient.
Multi-platform pacing across Meta + Google + TikTok, €1M – €50M / yr	Native dashboards + agency reports	We win	This is what we were built for. Pacing accuracy uplift, leakage recovery, and finance-grade trail are decisive at this spend; see /benchmark-cohorts.
Agencies billing multiple advertisers monthly	Spreadsheet allocation + tradition	We win	Multi-client allocation, audit trail, and dispute-ready evidence pack. See /solutions/agencies and /case-library.
True ad-ops campaign management (creative, bidding, audiences)	Skai, Smartly, Northbeam, in-house ad-ops	Neither — different category	We are not an ad-ops product. We are the financial layer above. We integrate with these tools rather than replace them.
Treasury for paid media (direct platform payouts with quorum)	Wire transfers + finance ticketing	We win	/payouts with 2-of-3 quorum, treasury rails on /hedging, and on-platform reconciliation. Few competitors do this; none do it with the same controls.
Mid-market in a single regulated jurisdiction with mature legacy finance	SAP / Oracle Treasury + custom integration	Tied	Either path works. If the legacy ERP investment is sunk and integration capacity exists, the incumbent is fine. Our advantage is time-to-value.
Enterprise procurement requiring SOC 2 / ISO / DPA / SLA package	Hyperscaler-owned ad financial layer	We win	On /certifications, /sla-credits, /shared-responsibility, and /data-portability we are at parity or ahead — and we move faster on bespoke addenda.
First-party data warehouse with full custom modelling	Snowflake / BigQuery + dbt + internal team	Neither — different category	If a custom data team already owns spend modelling end-to-end, we are complementary at best. We export cleanly via /datasets and /data-portability.
Sub-€100k / yr brand wanting one dashboard for everything	Free or low-cost dashboard tool	They win	We charge for finance-grade controls a brand at this spend may not need. The honest answer is to wait until those controls matter.
Public-sector or government-adjacent paid media	Internal procurement-controlled stack	Tied	Workable for us with the right addenda; sometimes faster for internal stacks. We are honest where statutory constraints make us a worse fit.

How we keep this honest

Each row is challenged by Customer Advisory; verdicts that benefit us require an explicit second sign-off.
An external analyst named on /independence reviews the matrix annually and may flag rows for revision.
Customers who disagree with a verdict can request a working session; if the verdict changes, the matrix is updated within 14 days.
We do not compare against named competitors. Anyone who needs that conversation can have it directly with us; published comparisons turn into sales theatre.