Accelerate your ecommerce revenue with deep insights you won’t find anywhere else. Drive unmatched revenue outcomes in your…
5.0
1 reviews
Category
Attribution Software
For companies trying to work out which marketing channels actually drive revenue, and needing proof beyond last-click reports or platform-reported numbers.
Lifesight is the leader in unified marketing measurement and the single source of truth for marketing impact. We help brands…
5.0
Quote-based
Measured is the AI-powered marketing effectiveness platform trusted by enterprise brands. Since 2017, leading marketers have used…
4.9
11 reviews
Rampmetrics helps marketing teams shift from reactive, incomplete reporting to in-depth, actionable marketing insights.
4.9
13 reviews
Fospha is the only full-funnel mmm proven to deliver daily, ad-level insights that drive incremental impact. Trusted by the…
4.8
13 reviews
Adinton is a cutting edge software for analyzing and optimizing marketing campaigns. It allows to improve online marketing…
4.7
3 reviews
Bizible by Marketo, an Adobe company, leads the B2B marketing performance management space with revenue attribution and planning…
4.7
146 reviews
Calibermind is the GTM intelligence and multi-touch attribution platform for enterprise marketers seeking to make data-driven…
4.7
46 reviews
Rockerbox centralizes advertising data across all media channels to help marketers solve their core challenges-accurately…
4.6
39 reviews
Attribution’s mission is to make marketing performance more transparent. Marketers spend much of their time trying to understand…
4.5
28 reviews
Placed is the leader in location-driven insights and ad intelligence. Measuring billions of locations across the world’s largest…
4.5
1 reviews
Guided by an ethos of impartiality, consumer privacy, and quality data, leadsrx helps marketers capture, convert, and cultivate…
4.4
57 reviews
Most marketing attribution tools tell you which clicks converted. Wicked reports tells you where your new customers actually came…
4.2
27 reviews
The Salesforce native attribution modeling and funnel measurement solution for marketing operations. Great stories start with…
4.0
134 reviews
Acquired by yum! Brands Kvantum inc. Develops, deploys and commercializes mathematics and artificial intelligence based products…
4.0
1 reviews
Cognition acquired trialfire in September 2024. Trialfire is a leading marketing intelligence platform that addresses the…
3.5
1 reviews
Clarivoy is the auto industry's most trusted source of truth for optimizing the performance of marketing campaigns. We use…
Unrated
Divvit is a multi-channel marketing attribution platform built for ecommerce. With divvit you’ll be able to: - know which…
Unrated
Mazeberry helps web advertisers to control their marketing investments. We publish a decision support tool that provides analyses…
Unrated
Did you know that most businesses believe that nearly 30% of their marketing budgets are wasted to poor strategic planning?…
Unrated
Mazeberry helps web advertisers to control their marketing investments. We publish a decision support tool that provides analyses…
Unrated
In February 2021, mightyhive, global leader in data and digital marketing, acquired datalicious. Mightyhive is the leading data…
Unrated
Optimine is a leader in privacy-forward, agile marketing measurement and optimization, helping marketers and agencies lift…
Unrated
Polytab is a cloud-based technology suite of analytical applications targeted to web retailers. Its mission is to help merchants…
Unrated
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These vendors take the raw exhaust of your marketing activity — ad platform spend and click data, web analytics, CRM and pipeline records, sometimes call tracking and offline touchpoints — and turn it into a model of which channels, campaigns and touches actually produced a conversion or a closed deal. Some do this with rule-based multi-touch models (first touch, linear, time-decay), some with algorithmic models trained on your own conversion data, and some with marketing mix modelling that works from aggregate spend and outcomes rather than individual user tracking. What changes for the customer is concrete: a media budget that used to be allocated on gut feel, last-click credit, or whatever each ad platform claims for itself gets replaced with a shared, defensible view of contribution, usually feeding directly into budget decisions, campaign optimisation and board or CFO reporting.
People end up looking for this because the numbers they already have don't add up or can't be trusted. Facebook, Google and every other platform report inflated conversions when you add them up, last-click analytics hands all the credit to the bottom of the funnel, and finance is asking marketing to justify spend in revenue terms nobody can answer cleanly. It's worse with longer or multi-touch buying journeys — B2B pipelines with many stakeholders and touches over months, or ecommerce paths that cross devices and channels before a purchase happens. Privacy changes and cookie deprecation have made pixel-based tracking increasingly unreliable, so the gap between what marketing believes is working and what can actually be proven keeps widening, often surfacing as a disagreement between the CMO and the CFO over whether the budget is doing anything.
Providers split largely along two lines: the attribution approach they use, and the type of business they were built for. Multi-touch attribution tools that stitch together user-level journeys suit companies with clean digital data and a need for campaign-level detail, but they struggle once cookies, walled gardens or offline sales get involved. Marketing mix modelling and incrementality testing sacrifice that granularity for something more robust to privacy restrictions and better suited to brand and offline spend, at the cost of being slower to update and less useful for day-to-day campaign tweaks. Separately, tools built for ecommerce assume tight ad-platform integration and fast feedback loops on ROAS, while those built for B2B assume deep CRM and opportunity-stage data and are judging pipeline and revenue rather than clicks. When comparing vendors, look at what data they actually need from you, whether their output is a report or something that plugs back into media buying automatically, how they handle identity resolution now that third-party cookies are unreliable, and whether the model's assumptions are transparent enough that finance will actually trust the numbers it produces.