Get a recommendation
Tell us your requirements and our advisors will help you compare and shortlist the best-fit options, free and unbiased.
A real human, fast
Someone on our team replies within one business day, no bots, no ticket queue.
Routed to the right team
Buying, selling, partnering, or investing, you reach the people who can actually help.
Independent & unbiased
No pushy sales. Just honest guidance grounded in the ecosystem.
Tailored to your context
Tell us what you need and we shape the next steps around it.
Who are you? Pick the option that fits best.
89 Listings in Marketing Analytics Available
What is Soundcharts? Soundcharts is music market intelligence software offering a music market intelligence platform with real-time charts, airplay and streaming data. Founded in 2016 and based in Paris, France, Soundcharts helps music industry professionals work more efficiently and achieve better outcomes. Key features of Soundcharts Charts and playlists Radio airplay monitoring Social and streaming data API Analytics and reporting Integrations with Spotify, Apple Music, YouTube and more Who uses Soundcharts? Soundcharts is built for music industry professionals. It suits teams that want charts and playlists without spreadsheets and disconnected tools. Why choose Soundcharts? Compared with alternatives like Chartmetric, Soundcharts differentiates on charts and playlists. Pricing is quote-based and scoped to your usage and team size.
Deployment
Compliance
What is Dreamdata? Dreamdata is B2B revenue attribution software offering a B2B revenue attribution and analytics platform that connects marketing activity to revenue. Based in Copenhagen, Denmark, Dreamdata helps B2B marketing teams work more efficiently and achieve better outcomes. Key features of Dreamdata Multi-touch attribution Customer journeys Intent signals Audiences Analytics and reporting Integrations with Google Ads, Meta Ads, HubSpot and more Who uses Dreamdata? Dreamdata is built for B2B marketing teams. It suits teams that want multi-touch attribution without spreadsheets and disconnected tools. Why choose Dreamdata? Compared with alternatives like HockeyStack, Dreamdata differentiates on multi-touch attribution. Pricing is quote-based and scoped to your usage and team size.
Deployment
Compliance
Saaskart Market Grid™
Explore how leading Marketing Analytics solutions compare based on customer satisfaction, market presence, adoption, and buyer feedback. The Market Grid helps you identify category leaders, high-performing solutions, and emerging products within the Marketing Analytics ecosystem.
Category Leader
Launchmetrics
#1 in Marketing Analytics
Best Value Marketing Analytics
Agencyanalytics
From $20/mo
Trending
Launchmetrics
Most viewed
Market Insights
Derived from live Saaskart marketplace data, engagement, reviews, and pricing for this category.
Live Rankings
Tech stacks
See where marketing analytics fits in a complete stack, with the other software, AI agents and services each business needs.
Sprout Social is an all-in-one social media management platform used by brands and agencies to plan, publish, engage, and measure across social networks from one place. Its unified Smart Inbox pulls messages, comments, mentions, and reviews from Facebook, Instagram, X, LinkedIn, TikTok, YouTube, and more into a single stream, so teams respond quickly and never miss a conversation. Publishing tools with a visual calendar, approval workflows, and optimal-send-time suggestions keep content organized and on-brand. Beyond scheduling, Sprout is known for depth in analytics and social listening. Rich reports cover performance, competitor benchmarking, and paid/organic results, and its listening product surfaces trends, sentiment, and share of voice from across social. Sprout also spans social customer care with case management and CRM-like contact history, employee advocacy, review management, and AI features that assist with content, sentiment, and response suggestions. Integrations connect it to Salesforce, HubSpot, Zendesk, and more. Sprout Social serves mid-market and enterprise marketing, social, and customer-care teams that want a polished, analytics-strong platform, with roles and governance at scale. Pricing is per user per month on annual terms, Standard around $199, Professional around $299, and Advanced around $399, with Enterprise custom-quoted and add-ons for listening and advocacy. It competes with Hootsuite, Buffer, Sprinklr, and Later, differentiating on analytics depth, social listening, and customer-care capabilities.
Capabilities
Deployment
Matomo is an open-source web analytics platform positioned as a privacy-respecting, fully-owned alternative to Google Analytics. Its core promise is data ownership and privacy: you get complete website analytics, visitors, pageviews, sources, goals, ecommerce, and more, while keeping 100% ownership of your data (especially when self-hosted), with no data sampling and the ability to run cookieless, GDPR-compliant tracking that often avoids consent banners. This makes it popular with organizations, governments, and privacy-conscious businesses that cannot or do not want to send data to third parties. Unlike lightweight privacy tools, Matomo is a full-featured analytics suite: heatmaps, session recordings, funnels, A/B testing, form analytics, and more (some as premium features/plugins), plus a familiar dashboard for those migrating from Google Analytics. It comes in two flavors: a paid Matomo Cloud (hosted, priced by "hits") and a free, self-hosted On-Premise edition (open-source, unlimited hits/users, you run the server). This flexibility, depth of features, privacy, and self-hosting, is what sets it apart from simpler alternatives. Matomo suits businesses, governments, and organizations that want comprehensive web analytics with full data ownership and strong privacy compliance, whether self-hosted for free or as a managed cloud service. Pricing runs from a free self-hosted edition to Matomo Cloud (from ~$23/month by hits), with premium features as add-ons, so cost depends on hosting choice and traffic.
Capabilities
Deployment
Compliance
What is AppMetrica? AppMetrica is mobile app analytics software offering mobile app analytics, crash reporting and attribution from Yandex. AppMetrica helps app developers work more efficiently and achieve better outcomes. Key features of AppMetrica App analytics Attribution Crash reports Push notifications Analytics and reporting Integrations with iOS, Android, Unity and more Who uses AppMetrica? AppMetrica is built for app developers. It suits teams that want app analytics without spreadsheets and disconnected tools. Why choose AppMetrica? Compared with alternatives like Firebase, AppMetrica differentiates on app analytics. Pricing is quote-based and scoped to your usage and team size.
Deployment
Compliance
What is Dataslayer? Dataslayer is marketing data connectors software offering connectors that pull marketing data into Google Sheets, Looker Studio, Power BI and BigQuery. Founded in 2019 and based in Barcelona, Spain, Dataslayer helps marketers and agencies work more efficiently and achieve better outcomes. Key features of Dataslayer Sheets and Looker Studio connectors Power BI and BigQuery exports Scheduled refresh Templates Analytics and reporting Integrations with Google Ads, Meta Ads, Google Analytics 4 and more Who uses Dataslayer? Dataslayer is built for marketers and agencies. It suits teams that want Sheets and Looker Studio connectors without spreadsheets and disconnected tools. Why choose Dataslayer? Compared with alternatives like Supermetrics, Dataslayer differentiates on Sheets and Looker Studio connectors. Pricing is quote-based and scoped to your usage and team size.
Capabilities
Deployment
Compliance
Fathom Analytics is a simple, privacy-first website analytics tool designed as an easy, ethical alternative to Google Analytics. It shows all your essential website metrics, like visitors, page views, referrers, and goals, on a single fast-loading dashboard, without using cookies or collecting personal data, making it GDPR, CCPA, and PECR compliant without consent banners. Its lightweight script keeps sites fast. Businesses and creators use Fathom for privacy-respecting analytics. Fathom offers usage-based plans by monthly page views, billed monthly or annually, with a free trial.
Capabilities
Deployment
Compliance
SocialPilot is an affordable social media management platform built for agencies, small businesses, and marketing teams to schedule and publish content, manage many social accounts, analyze performance, and collaborate, all from one dashboard. It's known for packing agency-grade features into lower-priced plans than most competitors. Schedule & publish everywhere Plan and publish across Facebook, Instagram, LinkedIn, X (Twitter), TikTok, Pinterest, Google Business Profile, and YouTube from a shared content calendar, with bulk scheduling (upload up to 500 posts at once), best-time-to-post suggestions, first-comment scheduling, and RSS-feed automation. Create content faster SocialPilot's AI assistant helps generate captions and ideas, and a content library keeps your reusable assets in one place, so teams ship more posts in less time. Engage & analyze Manage comments and messages from a unified social inbox, and track performance with analytics and exportable reports, including white-label reports for agencies presenting to clients. Built for teams and agencies Add team members and clients, assign roles, and route posts through approval workflows so nothing goes live without sign-off. White-labeling lets agencies present the tool and reports under their own brand. Pricing Plans are Professional ($30/month), Small Team ($50/month), Agency ($100/month), and Agency+ ($200/month), with roughly 15% off on annual billing. A 14-day free trial is available with no credit card required. Who it's for Social media agencies, freelancers, and small-to-mid-sized marketing teams that want to manage many accounts and clients efficiently without paying enterprise prices.
Capabilities
Deployment
Compliance
What is undefined? CisionOne is an AI-powered media intelligence platform from Cision for PR and communications professionals that unifies media monitoring, journalist outreach, social listening and analytics. Key features of undefined Media monitoring across print, online, TV, radio, social, podcasts and magazines Real-time analytics and instant reporting Journalist outreach and media relations tools Social listening and engagement AI-powered analytics for measuring campaign impact Access on desktop, tablet and mobile Who uses undefined? CisionOne is used by PR, communications and marketing teams at large brands and agencies that need to track coverage, find journalists and report on impact. The vendor names customers such as General Mills, Mastercard, Sony Interactive Entertainment and 3M. undefined pricing Cision does not publish prices for CisionOne. Pricing is provided through its sales team and demo sessions, and depends on the modules, coverage and number of users. undefined alternatives Alternatives to CisionOne include Meltwater, Muck Rack, Brandwatch and Prezly. Meltwater is the closest competitor in media monitoring, while Muck Rack focuses on journalist relationships.
Capabilities
Deployment
Ahrefs is one of the most widely used SEO platforms, built on a massive crawler and index of the web that powers keyword research, backlink analysis, competitor research, rank tracking, and technical site audits. Marketers and SEO teams use it to find what to rank for, see who is linking to whom, audit their site for issues, and track positions over time, all from data Ahrefs collects with one of the largest link indexes in the industry. Its core tools are Site Explorer (analyze any site's traffic and backlinks), Keywords Explorer (keyword ideas, difficulty, and volume), Site Audit (technical SEO crawl), Rank Tracker (position monitoring), and Content Explorer (find top-performing content). Ahrefs has also added AI features and, notably, moved into answer-engine and AI-search visibility tracking as search shifts toward AI overviews and chatbots. Ahrefs suits SEO professionals, content marketers, agencies, and businesses serious about organic growth. Pricing is by plan with usage limits (and per-seat add-ons), and a newer lower-cost Starter tier lowered the entry point, though heavy or agency use still lands on the higher plans.
Deployment
Compliance
What is Piano? Piano is subscription and audience platform software offering analytics, personalization and subscription commerce platform for media and brands. Piano helps publishers and media companies work more efficiently and achieve better outcomes. Key features of Piano Paywalls Subscription commerce Analytics Personalization Analytics and reporting Integrations with WordPress, Google Analytics, Stripe and more Who uses Piano? Piano is built for publishers and media companies. It suits teams that want paywalls without spreadsheets and disconnected tools. Why choose Piano? Compared with alternatives like Pelcro, Piano differentiates on paywalls. Pricing is quote-based and scoped to your usage and team size.
Deployment
Compliance
Triple Whale is an ecommerce analytics and attribution platform built for direct-to-consumer brands running paid advertising. It aggregates data from Shopify, ad platforms, email and SMS tools, and payment processors into a unified dashboard showing real-time profitability, multi-touch attribution, creative-level performance, and AI-powered insights and forecasting. Used by 50,000+ ecommerce and retail brands, Triple Whale helps growth teams allocate spend and improve return on ad spend. It is priced by subscription: Foundation at $219/month, Automate at $749/month, and a custom Enterprise plan.
Capabilities
Deployment
Compliance
Marketing analytics software measures marketing performance across channels, attributing results, revealing what drives growth, and guiding budget and strategy with data. This guide explains what marketing analytics software is, how it works, its key features, and how to choose the right platform.
Marketing analytics software measures marketing performance across channels, attributing results, revealing what drives growth, and guiding budget and strategy with data. This guide explains what marketing analytics software is, how it works, its key features, and how to choose the right platform.
Marketing analytics software collects and analyzes data from marketing channels and campaigns to measure performance, attribute results, and inform decisions. It unifies data from ads, web, email, social, and more, providing dashboards, attribution, and insights into what marketing actually drives.
The purpose is to make marketing measurable and accountable. With spend spread across many channels and a complex customer journey, it's hard to know what's working. Marketing analytics connects activities to outcomes, leads, conversions, revenue, so teams can optimize spend and prove impact.
The category spans web analytics, attribution platforms, marketing dashboards, and full marketing intelligence suites. Companies adopt marketing analytics because budget efficiency and growth depend on understanding which channels, campaigns, and content produce results, rather than guessing or relying on siloed channel reports.
The software collects data from marketing channels and tools (via integrations and tracking), unifies and models it, applies attribution to connect touchpoints to conversions, and presents dashboards and insights. Marketers use the analysis to reallocate budget, optimize campaigns, and report on performance.
Core modules include data integration, web/channel analytics, attribution modeling, dashboards and reporting, and ROI/spend analysis. Analysts and marketers configure tracking and dashboards; the platform unifies and attributes data; leaders make budget and strategy decisions.
For example, a marketing team can see which channels and campaigns drive the most conversions and revenue, understand the multi-touch journey that leads to a sale, identify underperforming spend, and reallocate budget to the highest-ROI channels, all from unified, attributed data.
Unifies data from ads, web, email, social, CRM, and more. Unified data is the foundation, without it, analysis is siloed and incomplete, so integration is the core value.
Connects touchpoints across the journey to conversions and revenue. Attribution reveals what actually drives results, which is essential to optimize spend in a multi-channel world.
Configurable dashboards and reports across channels and metrics. Clear reporting makes performance visible and decisions and accountability straightforward.
Measures traffic, behavior, and channel performance. Granular analytics reveal how audiences engage and which channels and content perform.
Ties spend to outcomes to reveal return by channel and campaign. ROI analysis is what turns analytics into budget decisions and proven marketing value.
Surfaces trends and insights, increasingly with AI. Good visualization and insight make complex data actionable for marketers, not just analysts.
Knowing what drives results lets teams shift budget to the highest-ROI channels and campaigns.
Attribution and ROI analysis demonstrate marketing's contribution to revenue, justifying investment.
Unified, accurate data replaces guesswork and siloed reports with informed strategy.
Clear performance insight reveals what to improve and what to cut quickly.
One view across channels reveals the full journey and how channels work together.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| Web analytics | Website traffic and behavior | Any | Foundational and often free | Single-channel focus |
| Attribution platforms | Multi-touch attribution across channels | Mid-market to enterprise | Reveals true channel contribution | Attribution complexity |
| Marketing dashboards/BI | Unified cross-channel reporting | SMB to enterprise | Consolidates many sources | Requires data setup |
| Marketing intelligence suites | End-to-end analytics and optimization | Enterprise | Comprehensive | Costly and complex |
SaaS & Technology: Tech companies use marketing analytics software to scale go-to-market motions, align teams, and operate efficiently as they grow.
Manufacturing: Manufacturers apply marketing analytics software to manage complex, multi-stakeholder processes across long cycles and distributed operations.
Healthcare: Healthcare and life-sciences organizations use marketing analytics software where accuracy, security, and compliance are non-negotiable.
Retail: Retailers use marketing analytics software to manage high volumes, personalize engagement, and react quickly to demand.
Financial Services: Banks, insurers, and fintechs rely on marketing analytics software for control, auditability, and regulatory compliance.
Education: Institutions and edtech firms use marketing analytics software to manage stakeholders and scale programs efficiently.
Real Estate: Real-estate and property teams use marketing analytics software to manage long cycles and high-value relationships.
Professional Services: Agencies and consultancies use marketing analytics software to deliver client work profitably and forecast accurately.
E-commerce: Online retailers use marketing analytics software to unify data across channels and grow customer lifetime value.
Define the decisions you need to make, channel ROI, attribution, optimization, and choose tools that support them.
Confirm it connects to all your marketing channels and tools for unified data.
Evaluate attribution models and whether they fit your journey and goals.
Ensure marketers, not just analysts, can use and understand the analytics.
Consider data accuracy and how the tool handles privacy and cookie changes.
Make sure it scales with data volume, channels, and users.
Check connections to BI tools and data export options.
Understand how cost scales with data, channels, and users.
AI is advancing marketing analytics with automated insights, predictive modeling, and natural-language querying of marketing data.
AI attribution and media-mix modeling adapt to privacy changes, inferring channel contribution without relying on individual tracking.
Generative AI summarizes performance, explains changes, and recommends budget reallocations automatically.
Expect AI to surface insights proactively and guide spend decisions. Favor platforms that combine AI with accurate, privacy-compliant data, since insights are only as good as the underlying measurement.
Marketing analytics software collects and analyzes data from marketing channels and campaigns to measure performance, attribute results, and inform decisions. It unifies data from advertising, web, email, social, CRM, and more, then provides dashboards, attribution modeling, and insights into what marketing actually drives, leads, conversions, and revenue. The goal is to make marketing measurable and accountable: with spend spread across many channels and a complex customer journey, marketing analytics connects activities to outcomes so teams can optimize budget and prove impact. The category spans web analytics, attribution platforms, cross-channel dashboards, and full marketing intelligence suites. Because growth and budget efficiency depend on understanding which channels, campaigns, and content produce results, marketing analytics is essential for data-driven marketing rather than guesswork.
Marketing attribution is the practice of assigning credit for conversions and revenue to the marketing touchpoints that influenced them. Because customers typically interact with multiple channels and campaigns before converting, attribution models determine how much credit each touchpoint receives, from simple models (first-touch or last-touch) to multi-touch and data-driven models that distribute credit across the journey. Attribution reveals which channels and campaigns actually drive results, which is essential for optimizing spend in a multi-channel world where last-click reporting can be misleading. Marketing analytics software applies attribution to unified cross-channel data. As privacy changes limit individual tracking, attribution is evolving toward modeled and aggregated approaches like media-mix modeling. Good attribution turns a tangle of touchpoints into clear guidance on where marketing investment delivers the most return.
Marketing analytics ranges from free web analytics tools to substantial enterprise platforms. Web analytics is often free or low-cost; cross-channel dashboards and attribution platforms price by data volume, channels, or users; and comprehensive marketing intelligence suites carry significant pricing plus implementation. Costs scale with the amount of data, number of channels and sources, and users. When budgeting, consider the questions you need answered and the sophistication required, basic dashboards versus advanced attribution, since needs vary widely. The best approach is to define your measurement goals, start with tools that address them (many begin with free web analytics plus a dashboard tool), and scale into advanced attribution as your program and budget grow, validating that the insights justify the cost through better spend decisions.
Marketing analytics is evolving as privacy regulations and the deprecation of third-party cookies limit individual-level tracking that historically powered attribution and web analytics. The industry is shifting toward first-party data, consent-based measurement, server-side tracking, aggregated and modeled approaches, and media-mix modeling that infers channel contribution without tracking individuals. AI increasingly fills measurement gaps by modeling relationships between spend and outcomes. For marketers, this means relying more on first-party data, privacy-compliant tools, and modeled attribution rather than precise individual tracking. When evaluating marketing analytics software, prioritize how it handles privacy, consent, and the post-cookie landscape, since measurement methods are changing. The tools and teams that adapt, embracing first-party data and modeling, will maintain accurate, actionable insight as the privacy environment continues to tighten.
Web analytics focuses specifically on website traffic and behavior, visits, sources, pages, conversions on the site. Marketing analytics is broader, unifying data across all marketing channels (web plus advertising, email, social, and more) and tying it to outcomes through attribution and ROI analysis to measure overall marketing performance. Web analytics answers 'what's happening on my website'; marketing analytics answers 'what's driving results across my entire marketing program and where should I invest.' Web analytics is often a component of, or data source for, marketing analytics. Many organizations start with web analytics (frequently free) and add cross-channel marketing analytics as they invest in multiple channels and need to understand and optimize the whole, attributed picture rather than just on-site behavior in isolation.
Marketing analytics improves ROI by revealing which channels, campaigns, and content actually drive conversions and revenue, so teams can shift budget toward the highest-return activities and cut or fix underperforming spend. By unifying cross-channel data and applying attribution, it replaces guesswork and last-click bias with a clearer view of true contribution, enabling smarter allocation. It also speeds optimization by making performance visible, so teams improve campaigns faster, and it proves marketing's impact to justify and protect budget. The ROI improvement compounds: continually reallocating spend to what works raises the efficiency of the entire marketing budget. To realize it, organizations must act on the insights, reallocating budget and optimizing based on data, rather than just reporting, which is where analytics translates into measurable return.
AI advances marketing analytics through automated insights that surface trends and anomalies without manual analysis, predictive modeling that forecasts performance and outcomes, and natural-language querying that lets marketers ask questions in plain language and get answers instantly. AI-driven attribution and media-mix modeling adapt to privacy changes by inferring channel contribution without individual tracking, while generative AI summarizes performance, explains changes, and recommends budget reallocations. The result is faster, more accessible, more proactive insight that doesn't require an analyst for every question. When evaluating AI-enabled platforms, prioritize those that combine AI with accurate, privacy-compliant data, since AI insights are only as reliable as the underlying measurement, sophisticated AI on incomplete or biased data produces confident but misleading guidance, so data quality and privacy handling remain foundational.
Marketing analytics software is used by marketers across functions, demand generation, digital, content, and channel marketers measuring their performance, as well as marketing analysts and operations who manage data and reporting, and marketing leaders who make budget and strategy decisions. Executives and finance also use marketing analytics to understand marketing's contribution to revenue. It serves organizations of all sizes, from small businesses using free web analytics and simple dashboards to enterprises running sophisticated attribution and marketing intelligence. Essentially, any organization that invests in marketing across channels and wants to understand, optimize, and prove the impact of that investment uses marketing analytics, with tool sophistication matching the complexity of their marketing program and the rigor of measurement they require.
Marketing analytics ROI comes from better budget allocation (shifting spend to high-return channels and campaigns), faster optimization (improving or cutting based on data), proven marketing impact (justifying and protecting budget), and reduced waste (eliminating spend that doesn't work). Because analytics improves the efficiency of the entire marketing budget, often a large investment, even modest improvements in allocation and optimization can produce significant returns. To quantify it, track changes in cost per acquisition, return on ad spend, and marketing-attributed revenue as you act on insights, against the analytics tooling cost. The key is operationalizing the analytics, actually reallocating budget and optimizing based on what the data shows, since the return comes from better decisions, not from reporting alone. Used that way, marketing analytics is among the highest-leverage marketing investments.
