Folderly is an all-in-one email deliverability platform to supercharge your email performance. Deep email deliverability fixes…
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.
271 businesses
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Phonexa is an enterprise-grade tracking software for performance and partner marketing. The phonexa suite is the underlying tech…
The only sms revenue platform for ecommerce stores. Helping Shopify brands make sms their #1 revenue channel.
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Our newsletters engage your customers through curated content and help build relationships. We give businesses a way to provide a…
Sproutloud, the leading distributed marketing platform, helps brand-to-local teams effectively market and sell through channel…
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Birdeye is the #1 agentic marketing platform for multi-location brands, purpose-built for multi-location brands. Over 200,000…
Brandquantum’s innovative and secure brand consistency cloud-based software solutions help organisations to overcome their…
Das technology is an AI-native customer data and experience platform built to drive results for dealers, groups, and oems. For…
#1 for customer value 2024 according to LinkedIn marketing partner awards. Dreamdata is a B2B activation & attribution platform…
Flame analytics is an analytics and customer engagement platform for smart physical spaces (retail, shopping centers, museums…
Hushly’s is a buyer experience and conversion platform for B2B marketers. Hushly is the only B2B marketing platform in the market…
Plan and approve your social media content with ease and comfort! 🙌🏻 Now with Instagram stories auto-publishing and Google…
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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.