Gleam is a growth marketing platform that helps businesses focus on actions. An action can be whatever you want, an email…
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.
287 businesses
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Since 2005, madison logic has empowered the largest and fastest-growing companies to convert their best accounts faster. Madison…
Hey there! We’re banzai. Our products reach millions of users every year to help marketers drive more revenue through better…
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We deliver for small businesses with powerful tools to simplify and amplify digital marketing. Whether it's driving sales…
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Conversation builds relationship. Businesses build customer relationships @ scale on layer's enterprise conversation platform…
Leadboxer is a lead data platform for lead identification, lead qualification and lead management. Leadboxer is designed to bring…
Limeleads makes it easy to build, preview, and save customizable segments of targeted leads in minutes, providing a searchable…
Limelight platform is an experiential marketing platform that empowers brands and agencies to capture, manage, and measure…
Mailforge is a danish company that is highly focused on email marketing automation. We take advantages of new technologies in…
Instagram growth & lead generation - our team takes a very hands on approach to building your brand on Instagram. Want to make…
Mdirector ayuda a las empresas a transformar su negocio e impulsar las ventas mediante email marketing y marketing automation…
Motiva powers a new kind of customer-centric engagement for modern marketers everywhere. We use AI to generate content and create…
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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.