Pushnami is an AI-first performance marketing company that connects advertisers with high-intent consumers across 15+ verticals…
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.
40 businesses
Ringba provides enterprise grade call tracking to businesses, pay per call networks, agencies and performance marketers of all…
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We help publishers around the world save time and increase performance with newsletter and social media automation
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Delve AI helps brands and agencies with deeper understanding of digital users/buyers and their journeys, with humanized views of…
Tribe dynamics is now creatoriq! Creatoriq is the most trusted influencer marketing platform for organizations looking to advance…
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Clevertap is the leading all-in-one customer engagement platform that helps brands unlock limitless customer lifetime value…
Founded in 2007 and headquartered in Boston, Massachusetts, curata, inc. Is the leading provider of software empowering marketers…
Cyance, an expandi brand, is the leading provider of global, B2B intent data, delivering the most extensive reach for European…
Dstillery is the leading predictive AI audience targeting company, helping marketers reach exactly the right audience for every…
Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including workday, pinterest, lg, and rakuten…
Nudge, analytics, attribution & intelligence for content. Marketers get a holistic view of all their clicks, content, and…
Our platform aims to automate analysis, data integration, and Slack reports for brands and agencies.
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Showing 24 of 40 — 16 more to see.
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.