We help predict user behavior for revenue growth Growth propensity scoring platform Our curetm propensity scoring platform…
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Marketing Software
For companies trying to work out which marketing software actually fits their problem, from attribution and CDPs to email deliverability and demand generation.
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Htk is a leading cloud-based (SaaS) software-as-a-service provider, offering innovative data insights, machine learning and…
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Teg analytics is a data-science-as-a-services company and helps organisations make better decisions at the intersection of…
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Jentis is the European platform for server-side tracking and modern, privacy-compliant tag management. We help companies capture…
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The digital consumer intelligence platform Kpi6 takes market analysis to the next level, harnessing the power of generative AI…
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Leadbook is a lead generation platform with 200 million verified contacts, powered by artificial intelligence. Built to help…
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Mattersight helps premier brands have better conversations with their customers through enterprise-grade SaaS solutions for…
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Mobilewalla is a global leader in consumer intelligence solutions, leveraging the industry’s most robust consumer data set and…
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Catching up with global digital trends, mobio was established to create a comprehensive cdp & cem platform, enabling businesses…
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Nexmind AI- company that has created cutting-edge technology, "generative AI & search optimization architecture". This innovative…
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Nexoya is a unified AI platform that will help you overachieve your goals by optimizing cross-channel digital advertising…
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Northern light is the intelligence engine behind some of the world’s most forward-thinking companies. Our AI-powered platform…
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Grow new revenue from existing traffic. Rapid market changes are opening up vast opportunities for e-commerce revenue growth: AI…
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Picasso labs helps the world’s leading brands gain real-time insights into imagery and video. Today, brands communicate with…
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The gaming industry has more financial investment than hollywood and music combined, it is vital that publishers and studios…
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Predicthq is the real-world context platform powering enterprise AI decisions. It explains real-world demand variability and…
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These are the tools that sit underneath the marketing function itself: the platforms that track where a customer came from, decide what message they see next, hold their data in one place, and measure whether any of it worked. In practice that means software that scores accounts and triggers outreach, tracks a campaign from first click to closed deal, stitches together a single customer profile from a dozen disconnected systems, sends and manages email or direct mail at scale, runs on-site chat and popups, or tells you why visitors land on a page and leave without converting. Buying one of these isn't buying "marketing" in the abstract; it's buying a specific piece of the pipeline that currently runs on spreadsheets, guesswork, or three tools that don't talk to each other.
People end up looking here because something concrete has broken down. Marketing and sales argue over which leads are worth chasing because there's no shared scoring or attribution. Campaign spend keeps rising but nobody can say which channel actually produced revenue. Customer data lives in the CRM, the support tool, the app, and a CSV somewhere, so every new campaign starts from scratch. Emails are landing in spam, conversion rates on the website are flat despite more traffic, or a growing account-based sales motion has outgrown what a generic email tool can personalise. Often it's a specific moment: a board asking for attribution numbers that don't exist, a churn spike nobody can explain, or a data team refusing to keep exporting spreadsheets by hand.
The products that solve this differ mostly in where they sit and how much they assume you already have in place. Some are analytics-first — reading behaviour, journeys, or on-site friction after the fact; others are execution engines that actually send the email, run the chat, or trigger the loyalty offer. A few try to be the system of record for customer data itself, which is powerful but means a heavier integration project and more dependency on that one vendor. When comparing options, look hard at data ownership and how easily information moves in and out, at whether attribution is based on real event-level tracking or modelled estimates, at integration depth with the CRM and ad platforms you already run, and at pricing that scales with contacts or events rather than punishing you for growth. The right choice usually depends less on feature lists and more on which part of the funnel is actually broken.