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 Uniqode? Uniqode is QR code platform software offering QR code and digital business card platform for enterprises, formerly Beaconstac. Uniqode helps marketing teams and enterprises work more efficiently and achieve better outcomes. Key features of Uniqode Dynamic QR codes Digital business cards Analytics SSO Analytics and reporting Integrations with Google Analytics, Zapier, HubSpot and more Who uses Uniqode? Uniqode is built for marketing teams and enterprises. It suits teams that want dynamic QR codes without spreadsheets and disconnected tools. Why choose Uniqode? Compared with alternatives like Flowcode, Uniqode differentiates on dynamic QR codes. Pricing is quote-based and scoped to your usage and team size.
Deployment
Compliance
What is NewsWhip? NewsWhip is a real-time media and social monitoring platform for brands, publishers, PR agencies and government organizations. It predicts which content will earn public engagement, sends AI-driven alerts when reputation is at risk, and covers the web, Facebook, X, Instagram, YouTube, TikTok, Reddit and Substack. Key features of NewsWhip Prediction analytics for expected engagement on stories and posts. AI agents that deliver analyst-quality alerts when reputation is at risk. Customizable alerts, digests and reports. Timeline combining public and media interest data. Spike real-time monitoring platform. Analytics with 7-plus years of historical data and an API. Who uses NewsWhip? NewsWhip is used by newsrooms, communications and PR teams and global brands. Named customers on its site include Cigna, Nissan, Conde Nast, Deutsche Welle, the AP and DotDash Meredith. NewsWhip pricing NewsWhip does not display prices. Users are directed to request a demo to receive pricing for Spike, Analytics or the API. NewsWhip alternatives Common alternatives to NewsWhip include Meltwater, Talkwalker and CrowdTangle. NewsWhip differs by emphasizing predicted engagement, while others focus on broader listening and reporting.
Capabilities
Deployment
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.
What is Windsor.ai? Windsor.ai is marketing data integration software offering a no-code ELT tool that connects 300+ marketing sources to BI tools, sheets and warehouses. Founded in 2019 and based in London, United Kingdom, Windsor.ai helps marketers and agencies work more efficiently and achieve better outcomes. Key features of Windsor.ai 300+ marketing connectors Looker Studio and BigQuery sync Attribution modeling No-code setup Analytics and reporting Integrations with Google Ads, Meta Ads, Google Analytics 4 and more Who uses Windsor.ai? Windsor.ai is built for marketers and agencies. It suits teams that want 300+ marketing connectors without spreadsheets and disconnected tools. Why choose Windsor.ai? Compared with alternatives like Supermetrics, Windsor.ai differentiates on 300+ marketing connectors. Pricing is quote-based and scoped to your usage and team size.
Capabilities
Deployment
Compliance
What is Peel Insights? Peel Insights is retention analytics software offering an automated analytics platform for DTC brands focused on retention, cohorts and customer insights. Founded in 2020 and based in New York, New York, USA, Peel Insights helps DTC brands scaling retention work more efficiently and achieve better outcomes. Key features of Peel Insights Cohort and retention analysis Automated insights Audience building Subscription analytics Analytics and reporting Integrations with Shopify, Meta Ads, Google Ads and more Who uses Peel Insights? Peel Insights is built for DTC brands scaling retention. It suits teams that want cohort and retention analysis without spreadsheets and disconnected tools. Why choose Peel Insights? Compared with alternatives like Lifetimely, Peel Insights differentiates on cohort and retention analysis. Pricing is quote-based and scoped to your usage and team size.
Capabilities
Deployment
Compliance
What is Fairing? Fairing is post-purchase surveys software offering a post-purchase survey platform capturing how customers heard about a brand and zero-party data. Founded in 2019 and based in New York, New York, USA, Fairing helps DTC brands work more efficiently and achieve better outcomes. Key features of Fairing How-did-you-hear-about-us surveys Attribution insights Zero-party data Klaviyo sync Analytics and reporting Integrations with Shopify, Klaviyo, Triple Whale and more Who uses Fairing? Fairing is built for DTC brands. It suits teams that want how-did-you-hear-about-us surveys without spreadsheets and disconnected tools. Why choose Fairing? Compared with alternatives like KnoCommerce, Fairing differentiates on how-did-you-hear-about-us surveys. Pricing is quote-based and scoped to your usage and team size.
Capabilities
Deployment
Compliance
What is Ruler Analytics? Ruler Analytics is marketing attribution software offering marketing attribution software linking leads, calls and revenue to marketing sources. Based in Newcastle, United Kingdom, Ruler Analytics helps marketers and agencies work more efficiently and achieve better outcomes. Key features of Ruler Analytics Multi-touch attribution Call tracking Revenue attribution MMM Analytics and reporting Integrations with Google Ads, Meta Ads, HubSpot and more Who uses Ruler Analytics? Ruler Analytics is built for marketers and agencies. It suits teams that want multi-touch attribution without spreadsheets and disconnected tools. Why choose Ruler Analytics? Compared with alternatives like WhatConverts, Ruler Analytics differentiates on multi-touch attribution. Pricing is quote-based and scoped to your usage and team size.
Deployment
Compliance
What is NinjaCat? NinjaCat is marketing data platform software offering marketing data management and reporting platform for agencies and brands. NinjaCat helps agencies and multi-location brands work more efficiently and achieve better outcomes. Key features of NinjaCat Data management Reporting AI agents Monitoring Analytics and reporting Integrations with Google Analytics, Google Ads, Meta Ads and more Who uses NinjaCat? NinjaCat is built for agencies and multi-location brands. It suits teams that want data management without spreadsheets and disconnected tools. Why choose NinjaCat? Compared with alternatives like TapClicks, NinjaCat differentiates on data management. Pricing is quote-based and scoped to your usage and team size.
Deployment
Compliance
What is Google Analytics? Google Analytics is a web and app analytics service from Google that measures traffic, user behavior and conversions so businesses can understand their customers. A free version serves businesses of every size, and an enterprise offering integrates advertising and analytics on a single platform. Key features of Google Analytics Website and app traffic and behavior reporting Audience lists for use in advertising Conversion tracking Integration with Google advertising products Companion Tag Manager for managing tags without editing code Free version for small businesses and an enterprise version Who uses Google Analytics? Google Analytics is used by marketers, SEO specialists, product teams and small business owners to see how visitors find and use their sites and apps. Enterprises use the paid tier to connect analytics with advertising. Google Analytics pricing Google Analytics is free for most businesses, according to Google. Enterprises can use a paid offering, Analytics 360, whose pricing is not published on the product page and requires contacting Google or a reseller. Google Analytics alternatives Alternatives to Google Analytics include Adobe Analytics, Matomo, Plausible, Mixpanel and Fathom. Matomo and Plausible emphasize privacy and can be self-hosted or hosted, Mixpanel focuses on product analytics, and Adobe Analytics targets large enterprises.
Deployment
What is Retreaver? Retreaver is call tracking and routing software offering call tracking and dynamic routing software for performance marketers and contact centers. Retreaver helps performance marketers work more efficiently and achieve better outcomes. Key features of Retreaver Call routing Tagging Attribution Integrations Analytics and reporting Integrations with Google Ads, Google Analytics, HubSpot and more Who uses Retreaver? Retreaver is built for performance marketers. It suits teams that want call routing without spreadsheets and disconnected tools. Why choose Retreaver? Compared with alternatives like Ringba, Retreaver differentiates on call routing. Pricing is quote-based and scoped to your usage and team size.
Deployment
Compliance
Qualtrics is an enterprise experience management (XM) platform that helps organizations collect, analyze, and act on feedback across the experiences that matter, customer (CX), employee (EX), product, and brand. At its core is a powerful survey and research engine (CoreXM) with advanced question types, sophisticated logic, and rigorous methodology, but Qualtrics goes far beyond surveys: it captures feedback from many channels, applies AI-driven text and sentiment analytics (Text iQ), and routes insights to the right teams to close the loop with action. The platform is organized into XM suites. Customer Experience gathers and analyzes feedback across the journey with dashboards and automated actions; Employee Experience runs engagement, lifecycle, and 360 programs; and market research and brand tools support studies, panels, and conjoint analysis. Predictive analytics (iQ), role-based dashboards, ticketing/workflow to assign follow-ups, and deep integrations connect Qualtrics to CRM, HR, and communication systems, while its AI increasingly summarizes open-text feedback and recommends actions at scale. Qualtrics serves mid-market and enterprise organizations that run structured experience programs rather than ad-hoc surveys. Pricing is not published and is quote-based, structured by seats, response/contact volume, and the XM modules licensed; real-world contracts commonly range from roughly $25,000 to well over $100,000 per year, with CoreXM as the entry point. It competes with SurveyMonkey (Momentive), Medallia, SAP Qualtrics rivals, and Microsoft/Sprinklr solutions, differentiating on research rigor, XM breadth, and analytics.
Capabilities
Deployment
What is Cassandra? Cassandra is marketing mix modeling software offering self-serve marketing mix modeling software for performance marketers. Cassandra helps growth marketers work more efficiently and achieve better outcomes. Key features of Cassandra MMM Scenario planning Budget allocation Incrementality Analytics and reporting Integrations with Google Ads, Meta Ads, HubSpot and more Who uses Cassandra? Cassandra is built for growth marketers. It suits teams that want MMM without spreadsheets and disconnected tools. Why choose Cassandra? Compared with alternatives like Recast, Cassandra differentiates on MMM. Pricing is quote-based and scoped to your usage and team size.
Deployment
Compliance
What is Flowcode? Flowcode is QR code platform software offering QR code and offline-to-online conversion platform for brands. Based in New York, USA, Flowcode helps brands and marketers work more efficiently and achieve better outcomes. Key features of Flowcode QR codes Landing pages Analytics CRM integration Analytics and reporting Integrations with Google Analytics, Zapier, HubSpot and more Who uses Flowcode? Flowcode is built for brands and marketers. It suits teams that want QR codes without spreadsheets and disconnected tools. Why choose Flowcode? Compared with alternatives like Uniqode, Flowcode differentiates on QR codes. Pricing is quote-based and scoped to your usage and team size.
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.
