All-in-one SEO and digital marketing platform with keyword research, site audit, backlink analytics, and competitive intelligence tools.
Verified 2mo ago
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V
Voluum
80score
30 days free + 50% off your first three months
Voluum ad tracker in 2026 — Profit at $119/mo annual (1M events), Scale at $299/mo annual (5M events), Startup at $539/mo annual (10M events). Sub-50ms redirect latency.
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Mixpanel
77score
1 year free (saves up to $50,000)
Product analytics that help teams optimise user behaviour without writing SQL.
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Moz
75score
Save up to $995/year
Moz Pro is the SEO platform that invented Domain Authority — keyword research, site audits, rank tracking and link analysis with the industry-standard DA/PA metrics used by millions of SEOs.
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Coefficient
74score
Free plan (3 data sources) + 30-day full Pro trial — Starter from $49/mo
Live business data inside Google Sheets and Excel — no CSVs, auto-refreshed on a schedule.
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Leadfeeder
73score
Free Lite plan; paid from ~$99/mo
Identify the companies visiting your website and turn anonymous traffic into B2B sales leads with CRM-synced visitor intelligence.
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PostHog
73score
Verified founder pricing
The open-source product analytics platform engineers actually want to use.
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Fathom Analytics
68score
Privacy-first web analytics that doesn't need a cookie banner — and won't slow your site down.
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Triple Whale
68score
Free plan + free trial
An ecommerce analytics and attribution platform for Shopify brands, unifying ad data, profit, LTV, and AI insights in one dashboard.
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Supermetrics
67score
The data pipeline that quietly powers marketing reports for 200,000+ brands — Supermetrics review, pricing & verdict
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BigSpy
65score
20% off with code AFFCOUPON
A broad cross-platform ad spy tool covering Facebook, Instagram, TikTok, YouTube and more, with one of the largest ad databases and a genuinely usable forever-free plan.
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Google Analytics
64score
Google's free analytics powerhouse, rebuilt from the ground up for a cookieless, cross-platform world.
Marketing analytics tools turn campaign, web and product data into decisions — attribution, dashboards and funnels that show what is working.
Marketers and growth teams use them to track conversions, attribute revenue and cut wasted spend.
Compare on event/seat-based pricing, data retention, integrations, and how privacy and data ownership are handled.
Buying guide
How to choose
Choosing marketing analytics software comes down to where your data lives and how you need to attribute revenue. Start by listing the channels and platforms you need to pull from, then decide whether you need cross-channel attribution or single-channel reporting. Match the tool's complexity to your team's analytical skill set.
01
Data Sources and Integrations
Confirm the tool connects natively to your ad platforms (Google Ads, Meta, LinkedIn), CRM, email service, and data warehouse. Poor integrations force manual exports and break attribution.
02
Attribution Modeling
Look for support for the attribution models you need: first-touch, last-touch, linear, time-decay, or data-driven. Cross-device and cross-channel stitching matters if customers touch multiple properties before converting.
03
Reporting and Customization
Evaluate dashboard flexibility, custom report builders, and scheduled delivery. Stakeholders outside your analytics team will need clear visualizations and self-service access to key metrics.
Pricing reality
Free tiers exist (GA4, Mixpanel's free plan), but most mid-sized teams pay $100 to $1,000 monthly. Enterprise platforms like Adobe Analytics typically start around $50,000 annually and scale with data volume and seats.
Frequently asked questions
It is software that collects marketing data from websites, ads, email, social, and CRM systems, then measures performance through metrics like conversion rates, CAC, and ROI. The output is dashboards and reports that help teams decide where to invest budget.
Web analytics focuses on on-site behavior such as pageviews, sessions, and bounce rates. Marketing analytics is broader, covering paid media, email, SEO, and offline channels, and is built around campaign and revenue attribution rather than site activity alone.
Not usually. Most marketing analytics tools read from your data warehouse or ad platforms and present pre-built metrics. For custom analysis or combining marketing data with product or finance data, you still need a warehouse like Snowflake, BigQuery, or Redshift.