Maropost offers a unified commerce platform that empowers ecommerce merchants and retailers to scale faster, operate more…
Sector
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.
201 businesses
Powr is a leading suite of affordable, easy-to-use, customizable website apps designed to help businesses of all sizes grow…
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Chamaileon is a collaborative email design platform for marketing teams. We started out by creating a highly flexible drag and…
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Manage members, events, communities, and virtually everything needed to run your organization - all in one powerful, integrated…
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Monetate is the most comprehensive platform for digital personalization, experimentation, and optimization-built for enterprise…
Headquartered in walnut, CA, with offices in chennai, India, pipecandy is a vertical data-as-a-service company tracking more than…
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We believe happy customers make the best marketers. That’s why we built okendo - the customer marketing platform that creates…
Precise impression, llc is a SaaS company based out of minneapolis, mn on a mission to help companies increase online sales…
Grow your business with a comprehensive suite of optimization, personalization, visual merchandising and SEO tools built for…
We’re transforming ecommerce teams into AI experts. Our mission is to empower ecommerce teams to rapidly, deploy and implement AI…
Agillic a/s (nasdaq first north growth market denmark: agilc) is a danish software company within marketing technology (martech)…
Infinite mlm software is a leading mlm software development company, providing 𝐜𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐛𝐥𝐞 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞…
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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.