Supermetrics

Name: Supermetrics
Brand: Supermetrics

Data mastery made easy. 💡

Est 2013|Valuation $295.1M|Raised $51.3M|2 Ref Customers

LinkedIn 47K|Web traffic 344K|FTEs 350|HQ Helsinki, Uusimaa, FI

MarketsData Integration (ETL/ELT)

01Competitive Landscape

Narrative analysis

- Supermetrics vs Funnel: Funnel emphasizes a capacity-based data hub model and broad connector coverage; Supermetrics focuses on packaged plans and marketer-oriented reporting workflows. - Supermetrics vs Fivetran: Supermetrics is oriented toward marketing teams and reporting destinations, while Fivetran is warehouse-first and aimed at engineering/centralized data teams. Fivetran uses usage-based pricing, which can be more predictable for some warehouse-centric organizations but may cause unanticipated costs for others.

Pricing comparison (value proposition)

Supermetrics’ primary pricing risk is the need to purchase subscriptions per destination and scaling limits by accounts/users.
Funnel’s primary risk is forecasting capacity usage under a flexpoints/capacity model.
Fivetran’s primary risk is unpredictable usage costs across many connections; however, its pricing methodology is publicly documented and there are estimation tools available.

Customer testimonials comparing to competitors

Competitor content and blogs often emphasize Supermetrics’ cost profile relative to alternatives; such materials represent competitor perspectives and should be validated independently.

	Supermetrics	Funnel	Fivetran
Starting Price	Entry-level per-destination starting at a low monthly price (varies by destination)	Pricing based on plans + capacity (quote/estimator driven)	Free up to a usage threshold; usage-based pricing after that
Targeted Users	Marketing teams/agencies needing connectors to Sheets/Looker Studio and dashboards	Organizations needing broad marketing connectors and a marketing data hub with capacity-based pricing	Data/engineering teams centralizing many sources into warehouses with managed ELT
Key Strength	Marketing-oriented connectors and direct integrations for common reporting destinations	Extensive connector catalog and marketing data hub positioning	Large connector catalog, warehouse-first design, governance features
Key Weakness	Packaging complexity; destination-based pricing model can increase TCO; recurring support/billing complaints in reviews	Capacity model can be hard to forecast; procurement may be sales-driven	Usage-based pricing can be hard to predict; more technical setup; less marketer-focused UX

01Competitive Landscape

Narrative analysis

Supermetrics vs Funnel: Funnel emphasizes a capacity-based data hub model and broad connector coverage; Supermetrics focuses on packaged plans and marketer-oriented reporting workflows.
Supermetrics vs Fivetran: Supermetrics is oriented toward marketing teams and reporting destinations, while Fivetran is warehouse-first and aimed at engineering/centralized data teams. Fivetran uses usage-based pricing, which can be more predictable for some warehouse-centric organizations but may cause unanticipated costs for others.

Pricing comparison (value proposition)

Supermetrics’ primary pricing risk is the need to purchase subscriptions per destination and scaling limits by accounts/users.
Funnel’s primary risk is forecasting capacity usage under a flexpoints/capacity model.
Fivetran’s primary risk is unpredictable usage costs across many connections; however, its pricing methodology is publicly documented and there are estimation tools available.

Customer testimonials comparing to competitors

Competitor content and blogs often emphasize Supermetrics’ cost profile relative to alternatives; such materials represent competitor perspectives and should be validated independently.

	Supermetrics	Funnel	Fivetran
Starting Price	Entry-level per-destination starting at a low monthly price (varies by destination)	Pricing based on plans + capacity (quote/estimator driven)	Free up to a usage threshold; usage-based pricing after that
Targeted Users	Marketing teams/agencies needing connectors to Sheets/Looker Studio and dashboards	Organizations needing broad marketing connectors and a marketing data hub with capacity-based pricing	Data/engineering teams centralizing many sources into warehouses with managed ELT
Key Strength	Marketing-oriented connectors and direct integrations for common reporting destinations	Extensive connector catalog and marketing data hub positioning	Large connector catalog, warehouse-first design, governance features
Key Weakness	Packaging complexity; destination-based pricing model can increase TCO; recurring support/billing complaints in reviews	Capacity model can be hard to forecast; procurement may be sales-driven	Usage-based pricing can be hard to predict; more technical setup; less marketer-focused UX