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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.
3,484 businesses
Welocal empowers multi-location businesses to manage their places on maps, monitor and improve their reputation, and optimize…
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Wriber helps busy people write high-performing blogs using artificial intelligence. Check us out at www.wriber.com.
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A right question at a right time gives you the possibility to look at your products from the client side. Collect feedback and…
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Zanroo is your one-stop global social media solution that empowers you to reap the benefits of real-time online big data with…
Zoe-blog is a company based out of London, United Kingdom.
Zoom mail is a UK based email marketing company. Founded by david hazzard, an 18 year email marketing veteran and gary calladine…
Zotabox provides high quality onsite marketing tools for websites to increase sales and subscribers. We offer popular tools such…
Zubbit.io lets you increase your return on investment from the links you share by letting you shorten, brand, and optimize your…
Standardize your marketing data from a single platform. One shared data language. Simple workflows. Fully connected.
Aitrillion is a sales and marketing automation platform built to grow e-commerce via powerful modules to maximize customer…
Stop losing valid contacts to "unknown" data. Allegrow is the highest quality B2B email verifier built to help data providers &…
Allforleads is a b6b lead generation solution made of automated tools to find more clients by optimizing your prospection with…
Alps is an SEO and content marketing platform that transforms organic search into a performance channel. It helps you prioritize…
We’ve been providing mobile apps for events since before you could Instagram them. Now we’ve created the best event tech…
Showing 624 of 3,484 — 2,860 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.