Kohort

Name: Kohort
Brand: Cohort plc

We predict the future for mobile games with cohort-based forecasting.

Est 2018|9 Ref Customers

LinkedIn 2K|Web traffic 2K|FTEs 31|HQ London, England, GB

Where Kohort likely differentiates - Emphasis on long-horizon cohort-based LTV forecasting and automated alerting intended to provide operational signals for UA optimization rather than purely reporting. Where alternatives may be stronger - MMPs (AppsFlyer/Adjust/Singular) have established positions for attribution and broad integrations; if the primary need is attribution and cost aggregation, an MMP may be more suitable. - Providers like Airbridge present an integrated measurement + cohort ROAS + predictive LTV suite that may reduce stack complexity for some teams. Pricing and procurement - Kohort’s published per-title pricing can aid planning, but buyers should model ROI given published per-title pricing and expected UA efficiency gains. Sources: - Official vendor documentation and integration pages for Kohort - Official vendor product/solution pages for Airbridge (gaming)

01Competitive Landscape

Narrative analysis

Where Kohort likely differentiates

Emphasis on long-horizon cohort-based LTV forecasting and automated alerting intended to provide operational signals for UA optimization rather than purely reporting.

Where alternatives may be stronger

MMPs (AppsFlyer/Adjust/Singular) have established positions for attribution and broad integrations; if the primary need is attribution and cost aggregation, an MMP may be more suitable.
Providers like Airbridge present an integrated measurement + cohort ROAS + predictive LTV suite that may reduce stack complexity for some teams.

Pricing and procurement

Kohort’s published per-title pricing can aid planning, but buyers should model ROI given published per-title pricing and expected UA efficiency gains.

Sources:

Official vendor documentation and integration pages for Kohort
Official vendor product/solution pages for Airbridge (gaming)

	Kohort	Airbridge (Gaming)	Qonversion (LTV for subscription apps)
Starting Price	Published per-title pricing available from the vendor	Not publicly listed (sales-led)	Not publicly listed (sales-led)
Primary Use Case	Mobile game studios using forecasting and automated alerting to inform UA decisions	Teams needing attribution and cohort ROAS with cross-platform measurement	Subscription-focused apps needing payback/LTV analytics
Key Capability	Cohort-based long-horizon forecasting and campaign-level signals	Integrated measurement and cohort analytics for gaming	LTV/payback modeling for subscription economics
Key Weakness	Limited independent reviews; limited public security documentation	May be more MMP-centric than a forecasting orchestrator for finance teams	Less tailored to ad-monetized mobile games than gaming-first tools

Kohort

01Competitive Landscape

Narrative analysis

02Market Map

01Competitive Landscape

Narrative analysis

02Market Map