Datakili® is a SaaS solution that enables to visualize, analyze and optimize end-to-end omnicannnel customer journeys, in order…
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Customer Journey Analytics Software
For companies trying to understand what actually drives conversions, retention and churn across marketing, sales and product touchpoints, and who to hire to build that view.
We unlock creative intelligence data to make your ads more powerful, and save you money. Datasine is a creative-led optimisation…
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Emagine international is a leading provider of real-time, contextual and adaptive campaign management software solutions and…
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Eudata empowers AI journeys for enterprises, transforming customer, employee, and process experiences through intelligent…
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Your company is what your customers make of it. The importance of positive, powerful customer experiences with your brand is…
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Heedbook is the first online AI-based software for evaluating and boosting customer loyalty. Analyzing the customer's emotions…
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Insightsofa is a customer experience management platform that collects real-time feedback across key customer touchpoints. It…
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Intersec is a global leader in AI, metadata and location intelligence solutions. We leverage artificial intelligence to empower…
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Founded in 1998, itransition is a global software engineering and it consulting company with 3,000+ engineers supporting clients…
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Retailers are increasingly bringing the digital experience into their stores. Jogogo empowers organizations to gain a clear…
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Keepcon ahora es wise cx ¡ahora somos wise cx! 🎉 fusionamos lo mejor de cada empresa para seguir brindando una experiencia del…
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Konnecto empowers consumer brands to maximize their online sales through industry-leading affiliate discovery and monitoring…
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Latana is a leading global consumer insights platform. It was founded in 2019 to develop the next generation of brand tracking…
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Mattersight helps premier brands have better conversations with their customers through enterprise-grade SaaS solutions for…
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Marketing g2's leadership in customer engagement, data discovery, subscription management, sales and field subscription sales…
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A digital technology start-up based in tampa. In 2025 our focus is in leveraging technology to help small businesses and…
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Q°emotion helps to prioritize and eliminate irritants in customer journeys ! Our AI solution qualifies and quantifies emotions in…
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Parmonic helps B2B marketers multiply their reach by multiplying content locked inside their long webinars and videos using AI.
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Selma use conversational AI to understand and talk to your prospects. Just like you do today, but better.
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Tapreason is an award winning, artificial intelligence based, moment scoring system. Tapreason predicts in real-time what is the…
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Connect with your target audience. Thinksurvey enables researchers to create surveys, define demographics and collect responses…
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Managing customer communications shouldn't be complicated. Topdown helps organizations create, manage, and deliver personalized…
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Tradelab è una piattaforma di acquisto media in programmatic a servizio degli inserzionisti e delle agenzie. Le nostre soluzioni…
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These businesses build the systems that stitch together everything a customer does — ad clicks, website visits, app sessions, emails opened, support tickets raised, purchases made — into a single ordered record of that person's journey. The work is data engineering as much as analytics: connecting to ad platforms, CRMs, product logs and payment systems, resolving the same person across devices and channels, and turning a mess of timestamped events into a path you can actually look at. Once that's built, teams can see which touchpoints precede a sale, which ones precede a cancellation, and where people drop out of a funnel that looks fine in isolation but leaks badly end to end.
Companies end up here because their data is scattered and their explanations for what's working don't agree. Marketing says a channel is converting, sales says the pipeline tells a different story, product says usage is fine, and support is fielding complaints nobody upstream has seen. Churn shows up as a surprise because no one was tracking the sequence of events that preceded it. Attribution gets fought over in spreadsheets because each team's tool only sees its own slice of the customer. The trigger is usually a specific, unanswerable question — why did this cohort convert and this one didn't, where exactly are we losing trial users — that no single existing tool can answer because the answer lives across systems.
Providers split roughly into three approaches, and the split matters when you're choosing. Some are attribution-first, built to allocate credit across marketing spend and answer media-mix questions. Some are behavioural/product analytics, tracking events and funnels inside your app or site in detail but with less reach into offline or sales data. A growing group layer prediction on top — churn scoring, propensity models, next-best-action — using machine learning rather than just descriptive reporting. They also differ in how they take in data: some rely on their own tracking SDK, others work natively off your data warehouse, which affects both implementation effort and who owns the underlying data long-term. Worth comparing on: how much engineering time integration actually takes, whether identity resolution works across the channels you care about, whether the output is a dashboard for humans or a trigger that can feed directly back into a campaign or CRM, and how pricing scales as your event volume grows.