Dynamic Yield

What it claims to do

• A/B Testing
• Predictive Targeting
• Product Recommendations

Claimed benefit. Increased conversion rates, improved customer loyalty, enhanced revenue per user

Reported use case. E-commerce brands driving 25-30% increase in average order value through personalized recommendations

Source: the vendor and the capability mapping work behind this map. The Revenue AI Report has not independently verified these figures. Verified findings live in Research, with method, sample, and field date attached. Unfamiliar terms are defined in the AI and Revenue Dictionary.

Published case studies

• Saks Fifth Avenue

  Elevated engagement and drove 10% more conversions using AI personalization.

  Read the Dynamic Yield case study ↗

• TUI Cruises

  Achieved a 10.3% uplift in add-to-cart rate from homepage personalization.

  Read the Dynamic Yield case study ↗

• Electrolux

  Scaled localized experiences across 21 markets, resulting in a 16% uplift in D2C revenue.

  Read the Dynamic Yield case study ↗

We found a minimum of 3 published case studies here. There may be more we have not found. Case studies are published by the vendor. Customer names, figures, and outcomes are the vendor's claims. The Revenue AI Report has not audited them. Independently checked findings live in Research, with method, sample, and field date attached.

How to read these claims

The sample is chosen by the seller

A case study is the best result the vendor is allowed to publish. It is not a sample of all customers. The accounts that churned do not get a page.

There is no control group

Almost no vendor study compares the team using the tool against a matched team that did not. Without that comparison, the lift reported cannot be separated from headcount changes, pricing changes, seasonality, or a good quarter.

The baseline is usually missing

A percentage gain means nothing without the starting number. A 300% increase in meetings from two meetings a week is eight. Ask for the absolute figures and the time window.

Activity is not revenue

Most published gains are activity metrics: emails sent, replies, hours saved, meetings booked. Closed revenue, win rate, and retention are the metrics that survive a board meeting. Ask which one the study actually measured.

Named logos are not always customers

Logos and case studies have been published for accounts that had already churned or had only run a pilot. Ask the reference directly, by name, and ask how long they have been live.

Field notes: what users say in public

Independent feedback from review sites and practitioner forums, not vendor marketing. This is what a buyer would hear from a peer who has already run the tool.

Dynamic Yield fits large enterprises running cross-channel personalization at scale; ownership changes since the Mastercard acquisition warrant a roadmap check.

Ask these on the call

1. 01How has ownership under Mastercard changed roadmap priorities and support responsiveness since the McDonald's divestiture?
2. 02What is the real implementation timeline for scaling A/B testing and personalization across multiple channels?

How to read review evidence

Review sites are a biased sample

Most reviews are collected by the vendor, often with an incentive attached. Scores cluster high across the whole category, so a 4.6 average is closer to par than to proof. Read the one and two star reviews first, and read the most recent ones, because product and pricing change faster than the average score does.

Forums show the failure modes, not the base rate

Reddit and Hacker News threads surface what breaks, which is exactly what a business case needs. They do not tell you how common the problem is. Treat a repeated complaint as a question for the vendor, not as a verdict.

Complaints about price are usually complaints about structure

Seat minimums, credit packs that expire, annual lock-in, and per-action pricing produce most of the pricing anger in public reviews. Get the structure in writing, not the headline number.

Ratings are a snapshot

Every score here is dated. Check the live page before you cite it in a board deck.

The friction above is the tool level version of a pattern the Report has already measured. See Spend versus attribution for the method, sample, and field date behind it.

Claims versus the record

No citable discrepancy between this vendor's public claims and independent reporting was found at the time of the last check. That is not verification. It means nothing has been published either way, so the claims above still rest on the vendor's own account.

What has to be true before you buy

The Report does not review tools in isolation. Every tool on this map is connected to three things we publish elsewhere on the site: a decision framework that tells you how to evaluate it, a research theme that shows what we have measured in the market around it, and an essay that applies both to a real case. Those links appear at the bottom of this section so you can verify our reasoning instead of taking this page at face value.

Ambition level: Reinvent

The function is rebuilt. Judge it on the revenue model, and expect a governance owner.

Decide whether the lift is expansion you caused or expansion you observed.

Friction at this stage

• Expansion signals missed
• Champion job changes go unseen
• No repeatable advocacy motion

Common questions about Dynamic Yield

What does Dynamic Yield do?

AI solutions for personalized customer experiences, cross-channel engagement, and real-time optimization It sits in the Customer Engagement & Personalization category and maps to the Retention and growth stage of the revenue journey.

Where does Dynamic Yield fit in a revenue team?

Dynamic Yield maps to the Retention and growth stage at the Reinvent level of ambition, and is usually owned by the Customer success seat. Reported use: E-commerce brands driving 25-30% increase in average order value through personalized recommendations

Has Dynamic Yield been acquired or changed status?

Acquired by Mastercard from McDonald's, deal closed April 2022; product continues under Mastercard as Dynamic Yield by Mastercard. Recorded April 2022. Source: https://investor.mastercard.com/investor-news/investor-news-details/2022/Mastercard-Strengthens-Consumer-Engagement-Services-With-Close-of-Dynamic-Yield-Acquisition/default.aspx

Does Dynamic Yield publish customer case studies?

Yes. 3 named customer stories are published, including Saks Fifth Avenue, TUI Cruises, Electrolux. These are vendor claims, not figures verified by The Revenue AI Report. A case study is the best result a vendor is allowed to publish, not a sample of all customers.

What do buyers say about Dynamic Yield?

Public score 9 on TrustRadius from 128 reviews, observed April 2026. Dynamic Yield fits large enterprises running cross-channel personalization at scale; ownership changes since the Mastercard acquisition warrant a roadmap check.

What should we ask Dynamic Yield before buying?

How has ownership under Mastercard changed roadmap priorities and support responsiveness since the McDonald's divestiture? What is the real implementation timeline for scaling A/B testing and personalization across multiple channels?

Answers are assembled from the vendor material, published case studies, and independent evidence shown on this page. Terms are defined in the AI and Revenue Dictionary.