
Diffly
Klue
Dioptra
M16 Marketing
mbuzz.co
Google Analytics
Mixpanel
HockeyStack
Rockerbox
Triple Whale
Attributer
Digital Analytics
Make your business truly Customer-centric
Diffly helps you digitize and automate the collection of feedback from your prospects and customers (win/loss analysis, churn analysis).
By connecting your CRM to Diffly, you make sure none of your sales cycles ever ends without collecting feedback. Join the 80% of B2B companies worldwide implementing a consistent win-loss analysis process, and boost your conversion rates by up to +50% (Gartner).
The Diffly Solution
B2B companies often leave money on the table by losing deals they could have won, without knowing why. Our mission is to bring a human touch back into the feedback process. In addition to our CRM-integrated software and structured quantitative surveys, we offer a third-party interview service to collecte feedback from your prospects and customers directly. Diffly combines pragmatism, speed, and plug-and-play efficiency through a unique blend of SaaS and Service:
The Service: 30/45-minute one-on-one interviews with your prospects or clients, revisiting the sales process to gather first-hand insights. As a trusted third party, we gather open and honest conversations.
The Technology: Our platform identifies and automates which deals to target. Then, our AI analyzes conversations, detects key themes, and aggregates insights, helping you make informed, strategic decisions across your sales funnel. Difflyโs high valued added Every sales opportunity becomes a learning opportunity: whether won or lost, Diffly kicks in automatically. Through targeted, structured surveys, we uncover the true decision-making criteria of your buyers, along with rich insights about your market, competitors, and positioning, straight from the field.
Actionable insights, not assumptions: Understand the real reasons behind every win and loss, and act on them. Cross-team alignment: Sales, Marketing, and Product teams access the same insights, ensuring a coherent strategy and data-driven decisions.
mbuzz is multi-touch attribution for technical marketers who've stopped trusting their dashboard. Here's the thing nobody selling you attribution wants to say out loud: every tool runs a model under the hood, and the number it reports isn't "the data." It's that model's opinion of the data. Same touchpoints, different model, completely different "best channel."
mbuzz runs eight of them at once. First-touch, last-touch, linear, time-decay, position-based, Markov, Shapley, data-driven. You can compare them, argue with them, and write your own in a SQL-like DSL if none of the stock eight fit how your business actually works.
No features have been listed yet.
mbuzz.co's answer:
Every attribution tool runs a model under the hood and reports its number like it came from physics. mbuzz is the only one that shows the model. Eight of them side by side, plus a SQL-like DSL to edit or write your own. You stop arguing about which channel works and start arguing about which model you should trust.
mbuzz.co's answer:
Dreamdata, HockeyStack, and Northbeam all ship with a proprietary "data-driven" model you can't see inside. You pay $1,400โ$5,000 a month to trust their math. mbuzz runs eight models you can inspect, lets you edit the logic in a SQL-like DSL, keeps your data exportable on every plan, and starts at $0. For a $1โ100M company spending $20Kโ$1M a month on ads, that's the difference between renting an attribution tool and owning an attribution stack.
mbuzz.co's answer:
Technical marketers, marketing ops, growth engineers, and data-savvy CMOs at startups and mid-market SaaS, DTC, fintech, and healthtech companies spending $20Kโ$1M a month on paid media. Specifically the ones who've stopped trusting their dashboard โ who want to audit the math themselves, not hear "trust our algorithm."
mbuzz.co's answer:
Years of wrestling with the limitations of various existing solutions, platform-inflated ROAS, and enterprise attribution tools that cost more than the budgets they were measuring. Every tool I tried picked one model and hid the math. I wanted to compare models, argue with them, and write my own rules โ so I built one. mbuzz is the attribution platform I wished existed when I was trying to explain channel performance to a CFO who didn't believe the Meta pixel.
mbuzz.co's answer:
Ruby on Rails (backend + dashboard), PostgreSQL, Sidekiq for background jobs, Stimulus/Turbo for the frontend. Open-source SDKs in Ruby, Node, Python, and PHP. Deployed via Kamal on DigitalOcean.
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