Market media
3.9
49 reviews
Type
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.
Account-Based Marketing Software 67Affiliate Marketing Software 78Attribution Software 43B2B Services Review Platforms 20Content Marketing Software 209Conversational Marketing Software 43Conversion Rate Optimization Software 183Customer Data Platforms (CDP) 91Customer Journey Analytics Software 51Demand Generation Software 714Digital Analytics Software 115Digital Signage Software 199Direct Mail Automation Software 36Email Deliverability Software 47Email Marketing Software 277Email Signature Software 36Email Template Builder Software 25Email Verification Software 73Event Management Software 686Gamification Software 23Inbound Call Tracking Software 76Local Marketing Software 78Location-Based Marketing Software 24Marketing Analytics Software 117Marketing Automation Software 190Marketing Resource Management Software 25Market Intelligence Software 42Mobile Marketing Software 62Multi-level Marketing (MLM) Software 51Online Community Management Software 117Online Reputation Management Software 165Other Marketing Software 394Personalization Engines 23Personalization Software 30Pop-Up Builder Software 45Print Fulfillment Software 81Public Relations (PR) Software 155Push Notification Software 54QR Code Generator Software 22Rewards and Incentives Software 26SEO Software 274SMS Marketing Software 161Social Media Marketing Software 619Sweepstakes Software 29Technology Research Services 35Technology Review Platforms 36Transactional Email Software 21URL Shortener 64User Research Software 56Webinar Software 42
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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.