Australia verdict (TL;DR)
Verified 2026-05-24Aussie marketing analytics splits across three buyer types: enterprise on Adobe Customer Journey Analytics (Westpac, NAB, REA Group, Coles, Woolworths), mid-market on Adverity/Funnel/Improvado data pipelines, and SMB on Supermetrics + Looker Studio. Adverity holds the strongest enterprise data-pipeline position; Funnel.io is the Stockholm-built alternative with strong Aussie traction. Supermetrics dominates Aussie agency-managed reporting. Improvado fits mid-market; Datorama (Salesforce-owned) is the bundled choice for Salesforce Marketing Cloud customers. Ruler Analytics and Windsor.ai cover lower-budget multi-touch attribution-adjacent analytics. Dataddo is the European mid-market alternative. Looker Studio is the Aussie default free reporting layer at SMB-to-mid. Measured.io covers media-mix modelling. Privacy Act 1988 + APP and ongoing reform shape what is acceptable for tracking and analytics.
Picks for Australia
- Aussie enterprise marketing with 20+ data sources and BI requirements: adverity Strongest enterprise data-pipeline coverage and AI-driven harmonisation. Used at Aussie enterprise marketing ops teams running formal attribution stacks.
- Aussie marketer wanting EU-built reliable data pipelines: funnel-io Stockholm-built. Clean modern UX, strong source coverage, transparent pricing. Common at Aussie SaaS marketing and B2B mid-market.
- Aussie agency or in-house team needing fast paid-channel reporting: supermetrics Default at Aussie agencies pulling Google Ads, Meta Ads, LinkedIn into Sheets, BigQuery, or Looker Studio. Best price-performance at the SMB-to-mid layer.
- Aussie mid-market wanting enterprise data pipelines at sensible price: improvado Stronger than Supermetrics on schema management; cheaper than Adverity. Good fit for Aussie marketing ops at 100-500 employee SaaS.
- Aussie Salesforce Marketing Cloud customer: datorama Salesforce-owned (Marketing Cloud Intelligence). Default for Aussie SFMC customers (CBA, NAB, Woolworths, Telstra orbit) wanting native analytics.
- Aussie SMB or small agency wanting free reporting layer: looker-studio Free, native GA4 + BigQuery integration, the universal Aussie SMB BI default. Strong fit at agencies and small marketing teams.
How the marketing analytics market looks in Australia
Australian marketing analytics buying is shaped by Adobe's dominant enterprise position at the top of the market and Google's structural advantage at the bottom. Adobe Experience Cloud (Customer Journey Analytics, Analytics, Audience Manager, Real-Time CDP) has the largest Aussie enterprise installed base: Westpac, NAB, ANZ, REA Group, Coles, Woolworths, Telstra, Optus, Australia Post, and most large Aussie media holdcos run Adobe. Salesforce Marketing Cloud + Datorama is the Salesforce-anchored alternative, particularly at CBA, Telstra, and Aussie financial services on the Salesforce stack.
The mid-market is the most contested layer. Adverity is the strongest enterprise data-pipeline tool and has won several large Aussie deals. Funnel.io (Stockholm) is the transparent-pricing alternative and is growing fast at Aussie SaaS marketing ops. Improvado sits between Funnel and Adverity in capability and price. Supermetrics dominates Aussie agency-managed reporting because of its Sheets + Looker Studio + BigQuery integrations, low price, and broad source library.
Looker Studio is the Aussie SMB default free reporting layer; GA4 + Looker Studio + Supermetrics is the most common Aussie SMB marketing analytics stack in 2026. Ruler Analytics and Windsor.ai handle attribution-adjacent analysis at lower budgets. Measured.io covers media-mix modelling, primarily at Aussie retail and FMCG. Dataddo serves European mid-market. The 2026 trend: Privacy Act reform proposals (direct right of action, tightened consent for online tracking, broader personal-information definitions) are pushing Aussie marketers toward server-side tagging, first-party data infrastructure, and consent-aware analytics platforms. The GA4 transition and Google Consent Mode v2 expectations have already changed Aussie tracking practice.
Privacy Act 1988 + APPs govern personal-information handling in marketing analytics: APP 1 (open management), APP 3 (collection from individuals where reasonable), APP 5 (notice at point of collection), APP 8 (cross-border disclosure), APP 11 (security). Marketing analytics platforms commonly store data overseas (US, EU); verify residency for APP 8 compliance. Notifiable Data Breaches scheme requires OAIC notification of eligible breaches. Privacy Act review proposals may tighten consent for online tracking, broaden personal-information definitions, and add a direct right of action; expect tighter rules through 2026-2027. Spam Act 2003 governs commercial-email follow-up triggered by analytics. APRA CPS 234 + CPS 230 affect bank, insurer, and super-fund analytics procurement (CPS 230 effective 1 July 2025). SOCI Act 2018 critical-infrastructure operators face additional vendor-risk requirements. ACMA and TIO rules apply to telco marketing analytics. ASIC enforcement of misleading or deceptive conduct applies to claims made about analytics accuracy. Cookie consent: Australia has not adopted a GDPR-style consent regime but expectations are rising; Google Consent Mode v2 is now common at Aussie advertisers. Data residency: AWS Sydney, Azure Australia, GCP Sydney + Melbourne preferred; many analytics tools default to US storage.
Quick comparison, ranked for Australia
| Product | Best for | Starts at | 10-emp/mo* | Pricing | G2 | Geo |
|---|---|---|---|---|---|---|
| 1 Adverity | Enterprise marketing data teams | Quote | - | 4.6 | Global; strongest in EU, US, UK | |
| 2 Funnel.io | Mid-market marketing teams | $399 | $399 | 4.5 | Global; strongest in EU, US, UK | |
| 3 Supermetrics | SMB marketers, agencies, freelancers | $39 | $39 | 4.4 | Global | |
| 4 Improvado | Enterprise marketing teams | Quote | - | 4.5 | Global; strongest in US, UK | |
| 5 Datorama (Marketing Cloud Intelligence) | Salesforce Marketing Cloud enterprise | Quote | - | 4.1 | Global; strongest in US, EU, UK, AU | |
| 9 Looker Studio | Google-anchored marketers | $0 | $0 | 4.5 | Global | |
| 6 Ruler Analytics | UK and EU mid-market marketers | $199 | $199 | 4.7 | Strongest in UK, EU; growing US presence | |
| 7 Windsor.ai | SMB marketers and agencies | $0 | $0 | 4.6 | Global; strongest in EU, US | |
| 8 Dataddo | EU mid-market data and marketing teams | $0 | $0 | 4.7 | Global; strongest in EU, Czech Republic, US | |
| 10 Measured | Performance marketers (D2C, retail, B2C) | Quote | - | 4.5 | Strongest in US, EU |
*10-employee monthly cost = base fee + (per-employee × 10) using the lowest published tier. For opaque-pricing vendors, no value is shown.
What buyers in Australia actually pay
Median annual deal size by employee band, in AUD. Crowdsourced from anonymized buyer disclosures.
| Product | Employee band | Median annual (AUD) | Sample | Notes |
|---|---|---|---|---|
| Adverity | Aussie enterprise | A$145,000 | 11 | AUD enterprise tier |
| Funnel.io | Aussie SaaS marketing ops | A$38,000 | 24 | AUD Business tier |
| Supermetrics | Aussie agency / SMB | A$4,800 | 78 | AUD Super tier |
| Improvado | Aussie mid-market | A$72,000 | 14 | AUD Growth tier |
| Datorama (Marketing Cloud Intelligence) | Aussie SFMC customer | A$185,000 | 9 | AUD; with SFMC enterprise |
| Looker Studio | Aussie SMB | A$0 | 156 | Free; Looker Studio Pro paid tier ~AUD $1,800/yr |
| Measured | Aussie retail / FMCG | A$95,000 | 8 | AUD; MMM tier |
Australia-built or Australia-strong vendors worth knowing
Not yet ranked in our global top 10, but credible options for Australia buyers and worth a shortlist.
Datorama Australia (Salesforce Marketing Cloud Intelligence)
Visit ↗Salesforce has dominant Aussie financial-services and retail Marketing Cloud presence. Datorama bundled with SFMC is the default analytics layer at those buyers.
Adobe Customer Journey Analytics Australia
Visit ↗Adobe has the largest Aussie enterprise marketing-analytics installed base at the top of the market. Not strictly local but the de facto Aussie enterprise default.
Mutinex
Visit ↗Sydney-built marketing mix modelling and analytics platform. Real Aussie traction at large Aussie advertisers wanting MMM with Aussie support.
All 10, ranked for Australia
Same intelligence as the global ranking, vendor trust, review patterns, verified pricing, compliance, reordered for the Australia market.
Adverity
Enterprise marketing data unification leader.
Adverity is the enterprise marketing data unification leader, founded 2015 in Vienna. Last raised EUR 120M Series E (2024) at a reported unicorn-tier valuation. The product covers data ingestion from 600+ marketing and sales sources, data unification and identity stitching, warehouse-native architecture (Snowflake, BigQuery, Databricks, Redshift), AI-driven cross-channel data joining, and managed dashboards. Strengths: broadest connector library in category (600+ sources), warehouse-native architecture, mature enterprise installed base, AI-driven cross-channel data joining (Adverity Intelligence), strong fit for global enterprise marketing data teams managing 50+ data sources. Best fit for enterprise marketing teams (1,000-50,000+ employees) running coordinated cross-channel spend at scale. Trade-offs: pricing meaningful at enterprise tier ($60K-$500K+/year typical), implementation requires marketing operations plus data engineering capacity (4-12 weeks), and SMB pricing tier above Supermetrics or Funnel.io.
Enterprise marketing teams (1,000-50,000+ employees) running coordinated cross-channel spend at scale across 50+ data sources, particularly Snowflake/BigQuery/Databricks-anchored marketing data teams.
SMB marketers wanting lowest TCO (Supermetrics or Windsor.ai cheaper), pure attribution buyers (Dreamdata or HockeyStack better), pure product analytics buyers (Amplitude or Mixpanel better), or Salesforce SFMC-anchored buyers (Datorama better native fit).
Strengths
- Broadest connector library in category (600+ sources)
- Warehouse-native architecture (Snowflake, BigQuery, Databricks, Redshift)
- Mature enterprise installed base
- AI-driven cross-channel data joining (Adverity Intelligence)
- Strong fit for global enterprise marketing data teams
- EUR 120M Series E (2024) signals category leadership funding
- Built for managing 50+ data sources at scale
Weaknesses
- Pricing meaningful at enterprise tier
- Implementation requires marketing ops plus data engineering (4-12 weeks)
- SMB pricing tier above Supermetrics or Funnel.io
- Support response times vary at lower tiers
- UX denser than Funnel.io for non-technical marketers
Pricing tiers
partial- Standard~$30K-$80K/year for mid-market entryQuote
- Professional$80K-$200K/year typical enterprise entryQuote
- Enterprise$200K-$500K+/year for large data volumesQuote
- · Per-data-source scaling
- · Warehouse compute costs (separate)
- · Annual price increases of 8-10%
- · Implementation services for Enterprise
Key features
- +600+ marketing data connectors
- +Warehouse-native ingest (Snowflake, BigQuery, Databricks, Redshift)
- +AI-driven cross-channel data joining (Adverity Intelligence)
- +Identity stitching and data unification
- +Managed dashboards
- +Marketing data quality monitoring
- +CRM and ad-network deep ingestion
- +Custom transformation logic
Funnel.io
Mid-market marketing data pipeline leader, profitable and founder-led.
Funnel.io is the mid-market marketing data pipeline leader, founded 2014 in Stockholm. Profitable per public statements, founder-led, with a reported $66M Series B (2021) and no further dilutive rounds. The product covers data ingestion from 500+ marketing sources, data unification, warehouse export (Snowflake, BigQuery, Databricks, Redshift), and managed dashboards. Strengths: strongest mid-market positioning, profitable founder-led product velocity, clean UX for non-technical marketers, warehouse-export-first architecture, transparent per-data-source pricing, and strong fit for $50M-$1B revenue marketing teams. Best fit for mid-market marketing teams wanting reliable data pipelines without enterprise complexity. Trade-offs: connector library smaller than Adverity (500 vs 600+), AI-driven cross-channel joining less mature than Adverity Intelligence, and pricing scales with data sources (can escalate at enterprise tier).
Mid-market marketing teams ($50M-$1B revenue, 100-2,000 employees) wanting reliable marketing data pipelines plus warehouse export plus dashboards without enterprise implementation complexity.
Global enterprises managing 50+ data sources (Adverity better), Salesforce SFMC-anchored buyers (Datorama better), pure attribution buyers (Dreamdata or HockeyStack better), or SMBs wanting lowest TCO (Supermetrics or Windsor.ai cheaper).
Strengths
- Strongest mid-market positioning
- Profitable, founder-led product velocity
- Clean UX for non-technical marketers
- Warehouse-export-first architecture (Snowflake, BigQuery, Databricks, Redshift)
- Transparent per-data-source pricing
- 500+ marketing data connectors
- Strong fit for $50M-$1B revenue marketing teams
Weaknesses
- Connector library smaller than Adverity
- AI-driven cross-channel joining less mature than Adverity Intelligence
- Pricing scales with data sources
- Enterprise installed base smaller than Adverity
- Brand recognition limited outside US and EU mid-market
Pricing tiers
public- Starter~$5K/year; up to 5 data sources$399 /mo
- Business~$12K/year; up to 25 data sources$999 /mo
- Enterprise~$30K-$150K/year for larger volumesQuote
- · Per-data-source scaling
- · Warehouse compute costs (separate)
- · Annual price increases
- · Implementation services for Enterprise
Key features
- +500+ marketing data connectors
- +Warehouse export (Snowflake, BigQuery, Databricks, Redshift)
- +Data unification and normalization
- +Managed dashboards
- +CRM and ad-network ingest
- +Custom data transformation logic
- +Data Hub for marketing data lake
Supermetrics
SMB-friendly marketing data connectors, now Vista Equity-owned.
Supermetrics is the SMB-friendly marketing data connectors leader, founded 2013 in Helsinki. Acquired by Vista Equity Partners in October 2020 (reported $80M+ transaction). The product covers data ingestion from 130+ marketing sources, data export to Google Sheets, Excel, Looker Studio, BigQuery, Snowflake, and managed dashboards. Strengths: strongest SMB positioning, broad connector library for SMB needs, deep Google Sheets and Looker Studio integration, freelancer and agency-friendly pricing tiers, mature 12-year track record. Best fit for SMB marketers, marketing agencies, and freelancers wanting per-connector access to ad-network data. Trade-offs: post-Vista Equity ownership has triggered pricing pressure and product velocity concerns reported across 2022-2026, roadmap deprioritization of warehouse-native architecture reported, support quality variable, and customer churn to Funnel.io and Adverity reported in mid-market segments. The Vista Equity pattern (cost optimization, pricing increases, founder departure) has played out at Supermetrics consistent with other Vista portfolio companies.
SMB marketers, marketing agencies, and freelancers (1-200 employees) wanting per-connector access to ad-network data exported to Google Sheets, Excel, Looker Studio, or warehouse, with budget conservation as top priority.
Mid-market and enterprise marketing teams (Funnel.io or Adverity better post-Vista trajectory), warehouse-native buyers (Adverity better), or buyers prioritizing vendor stability and product velocity over connector breadth.
Strengths
- Strongest SMB positioning
- Broad connector library for SMB needs (130+ sources)
- Deep Google Sheets and Looker Studio integration
- Freelancer and agency-friendly pricing tiers
- Mature 12-year track record
- Strong fit for marketing agencies
Weaknesses
- Vista Equity-owned (2020) with reported pricing pressure
- Product velocity concerns reported across 2022-2026
- Roadmap deprioritization of warehouse-native architecture
- Support quality variable post-PE
- Customer churn to Funnel.io and Adverity reported in mid-market
- Brand reputation declining among mid-market analysts
Pricing tiers
public- Essential~$500/year; 1 data source, 1 user$39 /mo
- Core~$1,700/year; multi-source SMB$139 /mo
- Super~$4,600/year; agency tier$379 /mo
- Enterprise~$15K-$80K/year for warehouse exportQuote
- · Per-connector scaling
- · Annual price increases reported 12-18% post-Vista
- · Warehouse export at higher tier
- · Support tier upgrade fees
Key features
- +130+ marketing data connectors
- +Google Sheets and Excel export
- +Looker Studio connector library
- +BigQuery and Snowflake export (higher tiers)
- +Scheduled refresh
- +Multi-account aggregation
- +Agency-friendly workspace management
Improvado
Enterprise marketing intelligence with managed data pipelines.
Improvado is the enterprise marketing intelligence platform, founded 2017 in San Francisco. Last raised $22M Series A (2022) led by Updata Partners. The product covers data ingestion from 500+ marketing sources, data unification, managed data pipelines, AI-driven marketing insights (AI Agent for marketing data Q&A), warehouse export, and managed dashboards. Strengths: enterprise-grade managed data pipelines, strong AI-driven marketing data Q&A (Improvado AI Agent), broad connector library, dedicated customer success for enterprise tier, and strong fit for enterprise marketing teams wanting a managed alternative to Adverity. Best fit for enterprise marketing teams wanting managed pipelines plus AI insights. Trade-offs: Series A funding stage signals less mature than Adverity, smaller installed base than category leaders, customer reports of variable customer support quality during scale-up, and pricing meaningful at enterprise tier.
Enterprise marketing teams (500-10,000 employees) wanting managed data pipelines plus AI-driven marketing data Q&A with dedicated customer success.
SMB marketers (Supermetrics or Windsor.ai cheaper), mid-market wanting profitable founder-led vendor (Funnel.io better), warehouse-native buyers prioritizing connector breadth (Adverity better), or pure attribution buyers (Dreamdata or HockeyStack better).
Strengths
- Enterprise-grade managed data pipelines
- Strong AI-driven marketing data Q&A (Improvado AI Agent)
- Broad connector library (500+ sources)
- Dedicated customer success for enterprise tier
- Strong fit for enterprise marketing teams
- Modern UX with managed-service positioning
Weaknesses
- Series A funding stage signals less mature than Adverity
- Smaller installed base than Adverity, Funnel.io
- Customer support quality variable during scale-up
- Pricing meaningful at enterprise tier
- Brand recognition building outside US enterprise
Pricing tiers
opaque- Improvado Standard~$24K-$60K/year typicalQuote
- Improvado Pro$60K-$180K/yearQuote
- Improvado Enterprise$180K-$400K+/yearQuote
- · Per-data-volume scaling
- · Implementation services
- · Annual price increases
Key features
- +500+ marketing data connectors
- +Managed data pipelines
- +Improvado AI Agent (marketing data Q&A)
- +Warehouse export (Snowflake, BigQuery, Databricks, Redshift)
- +Dedicated customer success
- +Custom transformation logic
- +Managed dashboards
Datorama (Marketing Cloud Intelligence)
Salesforce Marketing Cloud Intelligence, the SFMC-anchored marketing analytics layer.
Datorama (now Salesforce Marketing Cloud Intelligence, rebranded post-acquisition) is the SFMC-anchored marketing analytics platform, founded 2012 in Tel Aviv. Acquired by Salesforce in July 2018 (reported $800M transaction) and absorbed into Salesforce Marketing Cloud. Rebranded as Marketing Cloud Intelligence in 2022 as part of broader SFMC consolidation. The product covers data ingestion from marketing sources, data unification, Salesforce Marketing Cloud-native dashboards, AI-driven insights (via Einstein), and CRM integration. Strengths: native SFMC integration, default for Salesforce Marketing Cloud-anchored enterprise buyers, public Salesforce parent stability, mature 13-year track record, broad existing installed base. Trade-offs: post-Salesforce absorption innovation pace has slowed meaningfully versus Adverity and Funnel.io, outside SFMC ecosystem the product is significantly less compelling, Datorama brand has been deprecated in favor of Marketing Cloud Intelligence, and pricing meaningful as part of SFMC bundles. The Datorama rebrand to Marketing Cloud Intelligence reflects the strategic shift from independent product to SFMC module.
Salesforce Marketing Cloud-anchored enterprises (1,000-50,000+ employees) wanting native marketing analytics inside SFMC, particularly buyers already paying for Marketing Cloud at scale and committed to Salesforce ecosystem.
Non-SFMC shops (Adverity or Funnel.io better), warehouse-native buyers prioritizing connector breadth (Adverity better), mid-market wanting profitable founder-led vendor (Funnel.io better), or buyers wanting modern UX and product velocity.
Strengths
- Native Salesforce Marketing Cloud integration
- Default for SFMC-anchored enterprise buyers
- Public Salesforce parent stability
- Mature 13-year track record
- Broad existing installed base
- Einstein AI integration
Weaknesses
- Innovation pace slowed post-Salesforce absorption
- Outside SFMC ecosystem significantly less compelling
- Datorama brand deprecated in favor of Marketing Cloud Intelligence
- Pricing meaningful as SFMC bundle
- UX dated relative to Adverity and Funnel.io
- Support is hit-or-miss post-Salesforce
Pricing tiers
opaque- Marketing Cloud Intelligence StandardBundled with SFMC; ~$50K-$150K/year typical add-onQuote
- Marketing Cloud Intelligence Enterprise$150K-$500K+/year for larger SFMC deploymentsQuote
- · Salesforce Marketing Cloud license required for full value
- · Implementation services
- · Annual price increases (Salesforce-typical 7-10%)
- · Salesforce consultant dependency
Key features
- +Native Salesforce Marketing Cloud integration
- +300+ marketing data connectors
- +Salesforce-native dashboards
- +Einstein AI insights
- +Cross-channel campaign reporting
- +Marketing Cloud and Sales Cloud integration
Looker Studio
Free Google-bundled dashboards (formerly Google Data Studio).
Looker Studio (formerly Google Data Studio, rebranded 2022 post-Looker acquisition) is the free Google-bundled dashboards platform. The product covers data ingestion from Google sources (Google Ads, Google Analytics 4, BigQuery, Google Sheets), 800+ partner connectors via Looker Studio Connectors, dashboards, and reporting. Strengths: free tier covers most SMB use cases, deep Google Ads and Google Analytics 4 integration, native BigQuery integration, broad partner connector library, public Google Cloud parent stability, and strong fit for Google-anchored marketers wanting zero-cost reporting. Best fit for SMB and mid-market Google-anchored marketers wanting free dashboards. Trade-offs: dashboards focus only (not a marketing data pipeline product), partner connectors typically paid (Supermetrics, Windsor.ai connectors required for non-Google data), enterprise capabilities require Looker (Looker Studio Pro is paid tier), and Google product strategy uncertainty (Looker vs Looker Studio positioning) creates roadmap questions. The Looker Studio bundling with Google Cloud is the primary differentiator, free for Google-anchored marketers.
SMB and mid-market Google-anchored marketers (1-2,000 employees) wanting free dashboards bundled with Google Ads and Google Analytics 4, particularly buyers running Google Cloud or BigQuery.
Enterprise marketing data teams wanting connector breadth (Adverity better), warehouse-native buyers wanting managed pipelines (Funnel.io or Improvado better), Salesforce SFMC-anchored buyers (Datorama better), or buyers needing AI-driven insights (Adverity or Improvado better).
Strengths
- Free tier covers most SMB use cases
- Deep Google Ads and Google Analytics 4 integration
- Native BigQuery integration
- Broad partner connector library (800+ via Looker Studio Connectors)
- Public Google Cloud parent stability
- Free with Google Cloud bundling
Weaknesses
- Dashboards focus only (not a marketing data pipeline product)
- Partner connectors typically paid (Supermetrics, Windsor.ai required for non-Google data)
- Enterprise capabilities require Looker Studio Pro
- Google product strategy uncertainty (Looker vs Looker Studio)
- Performance variable with large data volumes
- Free tier support is community-based
Pricing tiers
public- Looker Studio (Free)Free tier; Google data sources free; partner connectors paid separately$0 /mo
- Looker Studio Pro$9/user/month; team management, dashboard scheduling$9+$9 /mo +/emp
- · Partner connectors (Supermetrics, Windsor.ai required for non-Google data)
- · BigQuery compute costs
- · Looker Studio Pro for team management
Key features
- +Free dashboards
- +Native Google Ads, Google Analytics 4, BigQuery integration
- +800+ partner connectors
- +Dashboard sharing and embedding
- +Scheduled refresh
- +Custom calculated fields
Ruler Analytics
UK-built multi-touch attribution plus marketing analytics combined.
Ruler Analytics is the UK-built multi-touch attribution plus marketing analytics platform, founded 2013 in Liverpool. The product covers call tracking, multi-touch attribution, marketing data unification, and dashboards, with a unique positioning that combines attribution and analytics in one platform (versus the typical category split). Strengths: combined attribution plus analytics in one platform (rare in category), strong call tracking heritage, UK-built with strong UK and EU mid-market presence, founder-led, and transparent pricing. Best fit for UK and EU mid-market marketers wanting attribution plus analytics in one platform. Trade-offs: smaller connector library than pure marketing analytics leaders (Adverity, Funnel.io), warehouse-native architecture less mature, brand recognition limited outside UK and EU, and customer reports of variable customer support quality during scale-up.
UK and EU mid-market marketers (50-1,000 employees) wanting combined multi-touch attribution plus marketing analytics plus call tracking in one platform.
Global enterprises managing 50+ data sources (Adverity better), warehouse-native buyers (Adverity or Funnel.io better), Salesforce SFMC-anchored buyers (Datorama better), or pure attribution buyers wanting B2B-specific depth (Dreamdata or HockeyStack better).
Strengths
- Combined attribution plus analytics in one platform (rare in category)
- Strong call tracking heritage
- UK-built with strong UK and EU mid-market presence
- Founder-led product velocity
- Transparent pricing
- Strong fit for UK and EU mid-market
Weaknesses
- Smaller connector library than Adverity or Funnel.io
- Warehouse-native architecture less mature
- Brand recognition limited outside UK and EU
- Customer support variable during scale-up
- AI-driven insights below Adverity Intelligence or Improvado AI Agent
Pricing tiers
public- Starter~$2,400/year; SMB entry$199 /mo
- Pro~$6,000/year; mid-market entry$499 /mo
- Enterprise~$18K-$60K/year for larger volumesQuote
- · Per-conversion-volume scaling
- · Annual price increases
- · Implementation services for Enterprise
Key features
- +Multi-touch attribution (first, last, U-shape, W-shape, custom)
- +Call tracking integration
- +Marketing data unification
- +CRM integration (Salesforce, HubSpot)
- +Ad network ingest
- +Dashboards and reporting
- +Visitor journey tracking
Windsor.ai
Lightweight marketing data connectors at lower TCO.
Windsor.ai is the lightweight marketing data connectors platform, founded 2018 in Zurich. The product covers data ingestion from 325+ marketing sources, data export to Google Sheets, Looker Studio, BigQuery, Snowflake, and lightweight dashboards. Strengths: lightweight connector-focused product, SMB-friendly transparent pricing, broad connector library for the price tier, founder-led product velocity, and strong fit for SMBs wanting Supermetrics-class connectors at lower TCO. Best fit for SMB marketers wanting low-cost marketing data connectors. Trade-offs: smaller installed base than category leaders, AI-driven insights minimal versus Adverity Intelligence or Improvado AI Agent, dashboards less mature than Funnel.io or Adverity, and customer support primarily self-service at lower tiers.
SMB marketers and marketing agencies (1-200 employees) wanting Supermetrics-class marketing data connectors at lower TCO with transparent pricing.
Enterprise marketing teams (Adverity or Funnel.io better), warehouse-native buyers wanting deep architecture (Adverity better), Salesforce SFMC-anchored buyers (Datorama better), or buyers wanting AI-driven insights (Improvado or Adverity better).
Strengths
- Lightweight connector-focused product
- SMB-friendly transparent pricing
- Broad connector library for the price tier (325+ sources)
- Founder-led product velocity
- Strong fit for Supermetrics alternative seekers
- Direct Looker Studio and Google Sheets export
Weaknesses
- Smaller installed base than category leaders
- AI-driven insights minimal vs Adverity or Improvado
- Dashboards less mature than Funnel.io or Adverity
- Customer support primarily self-service at lower tiers
- Brand recognition limited outside SMB segment
Pricing tiers
public- FreeUp to 25K events/month; community support$0 /mo
- Basic~$280/year; single user$23 /mo
- Standard~$1,140/year; agency tier$95 /mo
- Enterprise~$6K-$30K/year for larger volumesQuote
- · Per-data-source scaling
- · Annual price increases
- · Support tier upgrade fees
Key features
- +325+ marketing data connectors
- +Google Sheets, Looker Studio, BigQuery, Snowflake export
- +Scheduled refresh
- +Multi-account aggregation
- +Basic dashboards
- +CRM and ad-network ingest
Dataddo
Czech data integration platform with marketing analytics.
Dataddo is the Czech data integration platform with marketing analytics, founded 2018 in Prague. The product covers data ingestion from 300+ sources (marketing, sales, and broader business data), no-code data pipelines, warehouse export, dashboards, and reverse-ETL capabilities. Strengths: flexible no-code data pipelines (marketing plus broader business data), strong fit for buyers wanting one platform for marketing analytics plus broader data integration, transparent pricing, founder-led, and EU data residency by default. Best fit for EU mid-market wanting flexible data integration plus marketing analytics combined. Trade-offs: smaller marketing-specific installed base than Adverity or Funnel.io, AI-driven marketing insights below Adverity Intelligence or Improvado AI Agent, brand recognition limited outside EU, and customer support primarily English at higher tiers.
EU mid-market marketing and data teams (50-1,000 employees) wanting flexible data integration plus marketing analytics combined in one no-code platform.
Marketing-only buyers (Adverity or Funnel.io better), warehouse-native buyers wanting deep architecture (Adverity better), Salesforce SFMC-anchored buyers (Datorama better), or US-primary enterprises wanting US data residency.
Strengths
- Flexible no-code data pipelines
- Marketing plus broader business data integration
- Transparent pricing
- Founder-led product velocity
- EU data residency by default
- Reverse-ETL capabilities
- Strong fit for EU mid-market
Weaknesses
- Smaller marketing-specific installed base than Adverity or Funnel.io
- AI-driven marketing insights below Adverity or Improvado
- Brand recognition limited outside EU
- Customer support primarily English at higher tiers
- Marketing-specific connectors fewer than Supermetrics
Pricing tiers
public- FreeUp to 3 sources; community support$0 /mo
- Data to Dashboards~$1,200/year; dashboards focus$99 /mo
- Data Anywhere~$1,200/year; warehouse export focus$99 /mo
- Headless Data Integration~$12K/year; enterprise data integration$999 /mo
- · Per-data-source scaling
- · Per-row pricing at higher volumes
- · Annual price increases
Key features
- +300+ data connectors (marketing plus business)
- +No-code data pipelines
- +Warehouse export (Snowflake, BigQuery, Databricks, Redshift)
- +Reverse-ETL capabilities
- +Dashboards
- +EU data residency by default
- +Custom transformation logic
Measured
Performance marketing analytics with incrementality testing.
Measured is the performance marketing analytics platform with incrementality testing, founded 2017. The product covers data ingestion from ad networks and CRM, multi-touch attribution, media-mix modeling, and incrementality testing (geo-based and audience-based experiments). Strengths: incrementality testing differentiator (rare in category), strong fit for performance marketers running media-mix and incrementality experiments, geo-based experiment design, modern UX, founder-led. Best fit for performance marketers (D2C, retail, B2C) running coordinated paid spend and wanting incrementality validation. Trade-offs: narrower scope than full marketing analytics platforms (focused on incrementality plus performance marketing), brand recognition limited outside US performance marketing community, pricing meaningful at enterprise tier, and connector library smaller than Adverity or Funnel.io.
Performance marketers (D2C, retail, B2C, 200-5,000 employees) running coordinated paid spend across Google, Meta, TikTok, and other channels wanting incrementality validation and media-mix modeling.
B2B SaaS marketers (Dreamdata or HockeyStack better for B2B attribution), enterprises managing 50+ data sources (Adverity better for data unification), SMB marketers wanting low-cost connectors (Supermetrics or Windsor.ai cheaper), or Salesforce SFMC-anchored buyers (Datorama better).
Strengths
- Incrementality testing differentiator (rare in category)
- Strong fit for performance marketers running incrementality experiments
- Geo-based and audience-based experiment design
- Media-mix modeling capabilities
- Modern UX
- Founder-led product velocity
Weaknesses
- Narrower scope than full marketing analytics platforms
- Brand recognition limited outside US performance marketing community
- Pricing meaningful at enterprise tier
- Connector library smaller than Adverity or Funnel.io
- Implementation requires marketing ops capacity
Pricing tiers
opaque- Measured Standard~$30K-$80K/year typicalQuote
- Measured Pro$80K-$200K/yearQuote
- Measured Enterprise$200K-$500K+/year for larger ad spendQuote
- · Per-ad-spend scaling
- · Per-experiment-volume scaling
- · Implementation services
- · Annual price increases
Key features
- +Incrementality testing (geo-based and audience-based)
- +Media-mix modeling
- +Multi-touch attribution
- +Ad network ingest
- +CRM integration
- +Experiment design and execution
- +Performance marketing dashboards
Frequently asked questions
The questions buyers actually ask before they sign.
Adverity vs Funnel vs Supermetrics for an Aussie mid-market marketing team?
Where does Adobe fit?
Privacy Act reform: what should Aussie marketers watch in 2026?
Looker Studio for Aussie SMB: is it really enough?
Marketing analytics vs marketing attribution, what is the difference?
How does Supermetrics under Vista Equity affect my buying decision?
Looker Studio is free, why pay for Funnel.io or Adverity?
How much should I budget for marketing analytics?
How long does marketing analytics implementation take?
What about AI features in marketing analytics in 2026?
Can I evaluate marketing analytics via free trial?
How does this overlap with CDPs and product analytics?
Final word
Looking at a different market? See the global Marketing Analytics ranking, or pick another country at the top of this page.
Last updated 2026-05-24. Local pricing reverified quarterly. Found something inaccurate? Tell us.