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Wingify vs Dynamic Yield
Wingify vs Dynamic Yield: The Honest Comparison
Dynamic Yield Serves an Experience. Wingify Shows You Why It Worked.
Dynamic Yield, now Dynamic Yield by Mastercard, is a strong personalization engine. Its recommendations and decisioning are the reason teams buy it.
Wingify meets it there, then adds what surrounds it: the research that tells you what to change, adapts based on a visitor’s specific needs, and AI that works for your team as well as your users. Here’s the difference
Here's how we see the difference
Wingify gives you native behavioral insight
Every good experience starts with knowing why visitors behave the way they do.
For behavioral reporting, Dynamic Yield connects to the analytics tool of your choice. It also means the “why” comes from a separate tool.
With Wingify, the “why” is in the same platform where the campaign also runs. Heatmaps, session recordings, funnels, form analytics, and surveys are all native. No stitching required.
Wingify's AI works on both sides of the screen
Dynamic Yield’s AI is built for commerce. Every part of it decides what to put in front of a shopper.
Wingz covers more ground. For your visitors, it adapts the experience as they browse, even when they never log in. For your team, it does the analysis.
Ask what happened in a campaign and Wingz reads the heatmaps, recordings, and results already in the platform, then tells you. Build an agent to do that job every week, and connect it to a workflow that segments, reports, and sends.
Wingify closes the loop
Dynamic Yield is strong at activating, serving the right content, and measuring, with native reports and revenue attribution. It runs experiments too. What comes from another tool is understanding why visitors behave that way.
Wingify runs it all on one platform.
- Understand your users. Behavioral research and customer feedback show you where people hesitate.
- Decide what to change. Plan the work, then test it.
- Measure the lift. Confirm what worked, and for whom.
- Activate and repeat. Ship what won, personalize it for the visitors who respond best, then repeat.
That’s closed-loop optimization. Spot the friction, build the hypothesis, test the fix, measure it, ship what worked, and learn more about your customers each time.
Wingify grows with your program
Dynamic Yield provides the entire Experience OS platform, largely meant for large-scale enterprise and mid-market organizations, who have the budget.
Plenty of teams don’t start there. They start with one question: why are people dropping off at checkout?
Wingify is modular, on purpose. Start with Insights if you need the why. Add Personalize, Testing, or Feature Management when you need it. Buy the piece that solves today’s problem.
Side by Side: Wingify vs Dynamic Yield
| Dynamic Yield |
 |
|
|---|---|---|
| Behavioral insight | Third-party analytics tool required | Native heatmaps, recordings, funnels, forms, surveys |
| Personalization built on your own research | Needs a separate tool | Heatmaps, recordings, funnels, forms, and surveys captured natively |
| Segmentation by emotional need | Not available | Yes, EmotionsAI sorts visitors into 10 emotional needs, targetable and readable in test results (add-on) |
| AI for your team | No, only for shoppers | Yes. Wingz: agents, workflows, analysis |
| AI campaign summaries | No. AI for building campaigns, not for summarizing performance | Yes |
| AI heatmap and recording summaries | Not offered, and no native heatmaps or recordings to summarize | Yes |
| Agent workflows with triggers and actions | No open ended workflows | Yes |
| Custom agents your team builds | No. Prebuilt models only. | Yes |
| How you buy | Enterprise suite, custom quote only | Modules you can buy on their own |
La meilleure façon de tester,d'apprendre et de progresser
Frequently Asked Questions
Voici les questions que les équipes se posent généralement avant de se lancer
The biggest difference between Wingify and Dynamic Yield is where they start. Dynamic Yield starts with the experience it serves, while Wingify starts with the behavior it captures, so the research that shapes your hypothesis sits in the same place as the campaign that proves it.
Wingify covers the work retailers typically buy Dynamic Yield for, and covers more of it in one place. Wingify Commerce brings search, recommendations, and merchandising together on a single catalog, so a rule you set in merchandising carries into search results without reconfiguring anything. In addition it also has experimentation, behavioral insight, and feature management in the same suite, which means you can test a merchandising change, before shipping it.
Dynamic Yield makes more sense: if you're personalizing across kiosks, apps, and physical store touchpoints, or if Mastercard spend data is central to how you target.
Dynamic Yield does not have heatmaps and session recordings natively. Behavioral reporting comes through an integration with the analytics tool you already use. With Wingify, heatmaps, session recordings, funnels, form analytics, and surveys are part of the platform.
Wingz differs from Dynamic Yield's AI in how it supports optimization. Dynamic Yield's AI is aimed at the shopper: recommendations, affinity, visual similarity, and Mastercard spend signals. Wingz works on both sides. It adapts the experience for your visitors, and it works with your team too, analyzing campaigns, summarizing heatmaps and recordings, building segments, and automating recurring work through agents and workflows you set up.
Yes, you can buy Wingify Behavioral Insights on its own. While Wingify functions as a suite, its product structure is strictly modular. You are not forced to buy the full platform.
Wingify offers a 30-day all-inclusive free trial, and no credit card is required. You get full access to all core capabilities (including Web Experimentation, Insights, and Personalization) with no restricted or gated features during the 30 days.
Yes, there is no automated import between Dynamic Yield and Wingify, so campaigns are set up fresh in Wingify while your historical results will be in Dynamic Yield. Install the SmartCode, then rebuild your live experiments on Wingify. Our team helps you scope it, and also offers 24x7 support across phone, email, and chat to help you there through the switch.
Wingify supports mobile apps with native heatmaps, session recordings, and funnels, with SDKs for Swift, Kotlin, Java, Flutter, and React Native. PII is masked by default, and smart sampling follows unique users rather than repeat sessions.
Wingify holds ISO 27001, ISO 27701, ISO 27017, ISO 27018, SOC 2 Type II, and PCI DSS, and you can choose whether your data is hosted in the US, EU, or India.
