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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.
2,328 businesses
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Sverve is a leading social media influencer marketing platform used by over 1000 brands, PR firms and agencies. Sverve’s network…
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We build companies that simplify, personalize and protect. Since 2013, our companies have shipped apps on more than 200 million…
Syft finds companies actively struggling with the exact problem your product solves, then tells your sellers or AI agents exactly…
Synapsify is an award-winning technology company that builds applications that semantically reads and learns from written content…
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Systemads helps businesses grow through high-performing Facebook ads campaigns. Our team of digital marketing experts has decades…
Talkiq helps businesses understand and take action on the most important insights from every voice conversation with their…
Tamber is a hosted recommendation platform that lets developers personalize their apps with head-scratchingly tasteful, real time…
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Tap to speak is a web-based tool, that allows the event moderator or a speaker to communicate with the attendees of an event in…
Teamzy is the ultimate workspace for building your business. We specialize in helping network marketers and small business…
We’ve recently enhanced our tea software and pay per click processes to outperform any Google adwords expert and make your pay…
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Tekpon is the buyer-side platform for SaaS procurement. We help businesses discover the right software, negotiate better deals…
Simple call tracking. Instantly. The best call tracking for the lowest Price in the industry, since 2007 . With numbers starting…
Telerivet instantly connects organizations with their customers, operations, and communities, anywhere in the world. Trusted by…
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Showing 2,232 of 2,328 — 96 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.