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Ranked by user rating × review volume. See all Marketing Analytics tools →
Average price: 89 products listed
89 Listings in Marketing Analytics Available
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Funnel is a marketing data hub that collects data from hundreds of advertising, analytics, and marketing sources, cleans and harmonizes it, then shares it to dashboards, spreadsheets, and data warehouses. It removes manual data wrangling so teams get consistent, ready-to-use marketing data. Funnel targets mid-market and enterprise marketing and analytics teams that need trustworthy, unified marketing data. Pricing is quote-based by data sources and volume, billed in US dollars or euros.
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Lucidya is a Saudi customer-experience management platform built with deep Arabic natural-language processing. It listens across social media, reviews, surveys, and messaging channels, then analyzes sentiment, intent, and trends in Arabic dialects, a gap most Western tools handle poorly, to help brands and government entities understand and act on customer voice. Used across MENA by large enterprises and public-sector organizations, Lucidya combines social listening, CX analytics, and engagement in one platform. Pricing is enterprise and quote-based, scaled by channels, data volume, and users.
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What is Swydo? Swydo is agency reporting software offering automated marketing reporting and monitoring for agencies. Based in Netherlands, Swydo helps marketing agencies work more efficiently and achieve better outcomes. Key features of Swydo Automated reports KPI monitoring Templates White-label Analytics and reporting Integrations with Google Analytics, Google Ads, Meta Ads and more Who uses Swydo? Swydo is built for marketing agencies. It suits teams that want automated reports without spreadsheets and disconnected tools. Why choose Swydo? Compared with alternatives like DashThis, Swydo differentiates on automated reports. Pricing is quote-based and scoped to your usage and team size.
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What is Attributer? Attributer is lead source tracking software offering a tool that captures marketing attribution data in website forms and sends it to CRMs. Attributer helps small businesses and marketers work more efficiently and achieve better outcomes. Key features of Attributer UTM capture Channel attribution Form integrations CRM sync Analytics and reporting Integrations with Google Ads, Meta Ads, HubSpot and more Who uses Attributer? Attributer is built for small businesses and marketers. It suits teams that want UTM capture without spreadsheets and disconnected tools. Why choose Attributer? Compared with alternatives like Ruler Analytics, Attributer differentiates on UTM capture. Pricing is quote-based and scoped to your usage and team size.
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What is Sellforte? Sellforte is marketing mix modeling software offering marketing mix modeling software for retailers and ecommerce brands. Based in Helsinki, Finland, Sellforte helps retailers and ecommerce brands work more efficiently and achieve better outcomes. Key features of Sellforte MMM ROI measurement Budget optimization Promotion analysis Analytics and reporting Integrations with Google Ads, Meta Ads, HubSpot and more Who uses Sellforte? Sellforte is built for retailers and ecommerce brands. It suits teams that want MMM without spreadsheets and disconnected tools. Why choose Sellforte? Compared with alternatives like Recast, Sellforte differentiates on MMM. Pricing is quote-based and scoped to your usage and team size.
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What is HockeyStack? HockeyStack is B2B go-to-market analytics software offering a B2B go-to-market analytics platform unifying attribution, journeys and intent. Based in San Francisco, California, USA, HockeyStack helps B2B marketing and sales teams work more efficiently and achieve better outcomes. Key features of HockeyStack Attribution Journey analytics Account intelligence AI insights Analytics and reporting Integrations with Google Ads, Meta Ads, HubSpot and more Who uses HockeyStack? HockeyStack is built for B2B marketing and sales teams. It suits teams that want attribution without spreadsheets and disconnected tools. Why choose HockeyStack? Compared with alternatives like Dreamdata, HockeyStack differentiates on attribution. Pricing is quote-based and scoped to your usage and team size.
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What is Bikky? Bikky is restaurant customer data software offering customer data platform and analytics for restaurant brands. Based in New York, USA, Bikky helps restaurant brands work more efficiently and achieve better outcomes. Key features of Bikky Guest data unification Retention analytics Campaign measurement Segmentation Analytics and reporting Integrations with Toast, Square, Clover and more Who uses Bikky? Bikky is built for restaurant brands. It suits teams that want guest data unification without spreadsheets and disconnected tools. Why choose Bikky? Compared with alternatives like Thanx, Bikky differentiates on guest data unification. Pricing is quote-based and scoped to your usage and team size.
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What is Analyzify? Analyzify is Shopify analytics tracking software offering a tracking setup and analytics service for Shopify stores with GA4 and ads pixels. Analyzify helps Shopify merchants work more efficiently and achieve better outcomes. Key features of Analyzify GA4 integration Ads tracking Server-side tracking Data layer Analytics and reporting Integrations with Google Ads, Meta Ads, The Trade Desk and more Who uses Analyzify? Analyzify is built for Shopify merchants. It suits teams that want GA4 integration without spreadsheets and disconnected tools. Why choose Analyzify? Compared with alternatives like Elevar, Analyzify differentiates on GA4 integration. Pricing is quote-based and scoped to your usage and team size.
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What is Onclusive? Onclusive is a media intelligence platform for PR, communications and marketing professionals that monitors news and social coverage. It draws on more than 3 million online sources, 70,000 print outlets, 6,000 broadcast channels and 25-plus social platforms, and combines AI with human analysts. Key features of Onclusive Real-time media monitoring across print, online, broadcast and social. Social listening for reputation and sentiment. Advanced analytics and custom dashboards. Media contacts database for journalist outreach. AI-powered brand visibility tracking. Managed and self-service monitoring options. Who uses Onclusive? Onclusive is used by PR, communications and marketing teams at brands and agencies. The vendor says it serves more than 13,000 brands and is owned by Symphony Technology Group. Onclusive pricing Onclusive does not publish prices on its homepage. Pricing depends on sources, volume and managed or self-service options, so request a quote. Onclusive alternatives Common alternatives to Onclusive include Meltwater, Cision and Talkwalker. Differences include print and broadcast coverage, human analyst services and pricing model.
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What is WhatConverts? WhatConverts is lead tracking and call tracking software offering lead tracking software that records calls, forms and chats with source attribution. WhatConverts helps agencies and small businesses work more efficiently and achieve better outcomes. Key features of WhatConverts Call tracking Form tracking Lead reporting Quote values Analytics and reporting Integrations with Google Ads, Google Analytics, HubSpot and more Who uses WhatConverts? WhatConverts is built for agencies and small businesses. It suits teams that want call tracking without spreadsheets and disconnected tools. Why choose WhatConverts? Compared with alternatives like CallRail, WhatConverts differentiates on call tracking. Pricing is quote-based and scoped to your usage and team size.
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What is Tenjin? Tenjin is mobile attribution for games software offering mobile attribution and ROAS analytics for indie and mid-size game studios. Tenjin helps mobile game studios work more efficiently and achieve better outcomes. Key features of Tenjin Attribution ROAS dashboards Ad revenue tracking Data export Analytics and reporting Integrations with iOS, Android, Unity and more Who uses Tenjin? Tenjin is built for mobile game studios. It suits teams that want attribution without spreadsheets and disconnected tools. Why choose Tenjin? Compared with alternatives like AppsFlyer, Tenjin differentiates on attribution. Pricing is quote-based and scoped to your usage and team size.
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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.
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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.
Tech stacks
See where marketing analytics fits in a complete stack, with the other software, AI agents and services each business needs.
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.
