AdTech Vendor · vs · AdTech Vendor

Kochava vs Measured

Strukturierter Technologie- und Marktvergleich · Stand 2026

Direkte Merkmalsgegenüberstellung

Kochava · vs · Measured
Kern-Markt / Rolle
KochavaAdTech Vendor
MeasuredAdTech Vendor
Profilfokus
Kochava

Omnichannel-Attributions- und Analytics-Software für App- und Digital-Marketer.

Measured

Enterprise-Software für Incrementality Testing, Media Mix Modelling (MMM) und Media-Optimierung.

Mitarbeiter
Kochava201–500 Mitarbeiter
Measured50–200 Mitarbeiter
Hauptsitz
KochavaUS
MeasuredUS
Gründung
Kochava2011
Measured2017

Vergleichsanalyse & Key Insights

Was ist der Hauptunterschied zwischen Kochava und Measured?

Beim Vergleich von Kochava und Measured agieren beide Plattformen im Bereich Analytics & Messplattform, Connected TV (CTV) & OTT und AdTech Vendor. Kochava ist positioniert als Omnichannel-Attributions- und Analytics-Software für App- und Digital-Marketer, während Measured den Schwerpunkt auf Enterprise-Software für Incrementality Testing, Media Mix Modelling (MMM) und Media-Optimierung legt. Beide Anbieter stellen komplementäre wie auch konkurrierende Kernfähigkeiten für den Markt bereit.

Welche Alternativen gibt es zu Kochava und Measured?

Bei der Evaluierung von Kochava und Measured prüfen Enterprise-Entscheider häufig auch weitere Plattformen im Bereich Analytics & Messplattform, Connected TV (CTV) & OTT und AdTech Vendor. Die erweiterte Wettbewerbslandschaft und detaillierte Marktprofile findest du direkt auf Polaris7.

Echtzeit-Beobachtung

Aktuelle Marktsignale & News: Kochava vs Measured

Öffentlich erfasste Marktbewegungen, Partnerschaften, Produkt-Updates und strategische Ankündigungen aus dem Knowledge-Graphen.

Kochava

Letzte Aktivitäten

Measured

Letzte Aktivitäten

  • ·Modern RetailMeasurement & Attribution

    Brands Ignore Measurement; Incrementality Solves Attribution

    Trevor Testwuide, CEO and co-founder of Measured, published a sponsored op-ed arguing that modern platform-reported attribution (last-touch and platform claims) systematically misallocates marketing budgets. The piece recommends incrementality testing—using exposed vs. matched control groups (holdout tests)—to measure true causal lift and avoid paying repeatedly for demand a brand already had. It notes that retail media networks, social commerce, AI-driven discovery, and marketplaces exacerbate attribution errors, and explains that adopting incrementality requires organizational changes (incentives, agency pushback, revised KPIs) but yields clearer budget allocation and growth-focused investment. The article was published on Modern Retail and sponsored by Measured on 2026-07-02.

    • Article authored by Trevor Testwuide, CEO and co-founder of Measured; content is sponsored by Measured.
    • The piece argues platform-reported last-touch attribution often misattributes credit and inflates perceived marketing ROI.
    • It recommends incrementality testing (exposed group vs. matched control/holdout) to measure causal lift and avoid wasted spend.
  • ·https://martechseries.com/feed/Search

    Measured Study: Google AI Overviews Didn’t Hurt Search

    Measured, an AI-powered marketing effectiveness platform, published an analysis of 139 brands showing that incremental revenue and orders rose after Google broadly rolled out its AI Overviews feature in September 2025. Measured found median incremental revenue increased 3.4% and median incremental orders increased 3.2% while overall ad spend stayed essentially flat. The study argues platform metrics like click-through rate can be misleading in AI-shaped search environments because AI Overviews may answer low-intent informational queries, concentrating higher-intent clicks that are likelier to convert. A subset of omnichannel brands that measured in-store impact saw larger gains: median retail incremental revenue grew 43.7%, incremental orders grew 22.5%, and iROAS rose from $1.35 to $1.47 across three months in Q1 2026. Measured’s CEO says advertisers who focused on incrementality rather than CTR benefited by maintaining spend during the rollout.

    • Measured analyzed incrementality for 139 brands and published results in a June 30, 2026 release.
    • Median incremental revenue rose 3.4% and median incremental orders rose 3.2% after Google rolled out AI Overviews in September 2025.
    • For omnichannel brands measuring retail impact, median retail incremental revenue grew 43.7% and incremental orders grew 22.5%.

Exakte Ökosystem-Überschneidungen vergleichen

Erkunde alle tiefen Marktbeziehungen in Polaris7. Entdecke gemeinsame Kunden, integrierte Technologien, SDK-Schnittstellen und überlappende Partner von Kochava und Measured im Markt-Ökosystem.