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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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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Supermetrics
67score
The data pipeline that quietly powers marketing reports for 200,000+ brands — Supermetrics review, pricing & verdict
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Databox
62score
Free plan; paid from ~$47/mo
Pull KPIs from 100+ tools into one dashboard — track goals, build scorecards, and get automated performance reports without a data team.
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Brand24
62score
AI-powered media monitoring and social listening platform that tracks brand mentions, analyses sentiment, and measures share of voice across the web and social channels.
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OmniSEO
60score
50% off the first month (Essentials $45 vs $89; Professional $175 vs $349)
AI-search visibility platform from WebFX — track brand mentions and citations across ChatGPT, Gemini, Perplexity, AI Overviews and 6 more answer engines.
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SurveyMonkey
59score
Long-running survey platform for feedback, NPS and market research
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Crazy Egg
58score
Free trial available
Turn blind website traffic into heatmaps, scroll maps, and session replays — see exactly where users click, scroll, and bounce.
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SimilarWeb
58score
SimilarWeb review: the go-to traffic intelligence platform for marketers, sellers, and investors who need the numbers no one else shares.
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Cometly
57score
Custom pricing by ad spend
AI-powered ad attribution that tracks every conversion back to the exact ad — server-side tracking that beats the blind spots in iOS and cookie loss.
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BeMob
56score
Cloud-based affiliate marketing tracker — track ad campaigns, measure conversions, and optimise traffic distribution with smart rules and A/B testing for affiliates and media buyers.
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ClickMagick
56score
Precise click tracking and ad attribution platform for performance marketers — track every visitor, conversion, and sale across channels with bot and fraud protection.
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.