Dynamic Yield

Score9 out of 10

128 Reviews and Ratings

What is Dynamic Yield?

Dynamic Yield is presented as an AI-powered Experience Optimization platform that delivers individualized experiences at every customer touchpoint: web, apps, email, kiosks, IoT, and call centers. The platform’s data management capabilities provide for a unified view of the customer, to allow the rapid and scalable creation of highly targeted digital interactions.

Marketers, product managers, and engineers use Dynamic Yield for:

Launching new personalization campaigns
Running server-side and client-side A/B tests
Leveraging machine-learning for product and content recommendations, and
Employing algorithms for smartly triggered email and push notifications.

Headquartered in New York, the company states it serves more than 350 brands across the world.

Categories & Use Cases

Media

The Dynamic Yield Dashboard, which offers a high-level overview of personalization campaigns, site performance, audiences, product updates, and more. With customers building and managing dozens, sometimes even hundreds of concurrent campaigns, the Dynamic Yield dashboard provides a snapshot of key information and surfaces items for potential optimization from campaigns that require action.

Dynamic Yield's customer segmentation engine, used to unify customer data across digital and offline touchpoints. Data can be onboarded from multiple sources to create one cohesive dataset from which to power experiences. Users can collect, store, categorize, and synchronize data from a CRM, ESP, DMP, APIs, or POS.

The interface to create cross-touchpoint personalization campaigns and experiments at scale. Users can coordinate independent personalization experiences to deliver a cohesive, consistent customer journey from start-to-finish.

Dynamic Yield's Predictive Targeting capabilities, which provides machine-learning optimization. Dynamic Yield’s Predictive Targeting engine will continuously analyze and identify opportunities to serve the most relevant content for each audience segment.

1 / 4

Riaz Ali View profile

Head of BI and Optimisation in Finance and Accounting at giffgaff (201-500 employees employees)

Use Cases and Deployment Scope

Dynamic Yield is a great tool that enables you to really scale up A/B/n testing and personalisation in a way that a smallish company by themselves wouldn't be able to achieve. The interface is self-explanatory and has some great options for targeting and audience creation. Having previously used Google Optimize it was easy to move over.

Pros

A/B/n testing to ensure new features are adding value
Audience creation to select specific groups of users to target
Personalisation to change the site depending on the type of user

Cons

Implementation was more involved than with Google Optimize

Return on Investment

By running A/B tests we can ensure we're driving value and not having negative impacts

Usability

Alternatives Considered

Google Optimize

Ross Brown

CX & CRO Manager in Marketing at The Entertainer (1001-5000 employees employees)

Use Cases and Deployment Scope

I use Dynamic Yield for A/B Testing, setting up recommendations and personalisation on our websites. Dynamic Yield helps us to test and learn optimisation ideas and having the capability to measure how incremental value the tool has since we onboarded.

Pros

AB Testing
Product Recommendations
Personalisation

Cons

More out of the box features for upsells/cross-sells and bundles

Return on Investment

Even though we've only used Dynamic Yield for 6 months, we feel that we're already getting the return of investment.
We're able to launch features that we weren't able to do before such as Basket Builder.

Usability

Alternatives Considered

Monetate and Google Optimize

Other Software Used

Contentsquare

Verified User

Employee in Marketing (5001-10,000 employees employees)

Use Cases and Deployment Scope

We use Dynamic Yield for our websites for A/B Test, membership popups on homepage, banner on booking engine, inactivity popup box, A/B tests.Business problems that is solves are low conversion rates by adding inactivity popup box, Static content experience by showing dynamic content based on segmentation like country, mem or nonmem users, Better A/B testing and optimization.Scope of use are web personalization in form of Banners, Popups, inactivity lightbox, newsletter sign up, personalized content. One good feature is AI powered product recommendations on homepage, segmentation and targeting (new vs. returning users, loyalty members)

A/B testing for continuously improve UI/UX and Omnichannel consistency to unify experience across different channels

Pros

Advanced Personalization & Segmentation - Example First time users who are visiting our website, users who are Atlantis member, Users who are UAE resident or non - UAE residents.
A/B & Multivariate Testing - Marketers and product teams can easily set up A/B, split URL, and multivariate tests without involving developers. One with static hero image, one with countdown sale, one popup.
Ease of Use & Marketing Control - Non-technical users can launch complex campaigns using the no-code interface, while developers still have the option to use the APIs and SDKs for custom work.

Cons

Sometime we have to use CSS to create experience from scratch.
The pre built template that DY have, they do not have the ability to change the look and feel, brand colour, brand text. We have to use CSS for it
While Dynamic Yield supports app personalization through SDKs, mobile app use cases require more dev involvement and aren't as out-of-the-box as web campaigns.

Return on Investment

It works well for us in terms of ROI and room bookings because of different functionalities
It fulfills our KPI of getting more people becoming members with the help of newsletter sign up popups on homepage
For every sale that we have, we try to keep Sale popup on homepage for the users to visit the sale landing page

Usability

Alternatives Considered

Monetate

Verified User

Executive in Marketing (1001-5000 employees employees)

Use Cases and Deployment Scope

Dynamic Yield is primarily a no-bottleneck tool we use to personalise content on our website. Although the initial CSS set-up takes time, the payoff has been very fruitful. Unique customisable templates, quick hotfixes on webstore enhancements, and a large variety of campaign types that can be previewed and published in real-time make Dynamic Yield the ultimate game-changer for tailored experiences. Not only will guests see content relevant to them, but this can also be tweaked over time through testing methods that utilize slick components, allowing for effortless measurement. Dynamic Yield also takes A/B testing to another level; users can split allocations beyond just the 50/50 threshold. <span style="font-size: 1rem;">Additionally, a powerful dynamic allocation method can be applied, whereby components with higher engagement will take precedence, making them more prevalent. It solves the business problem of not having enough data-driven actions, without requiring the involvement of a complex development team. Dynamic Yield has shifted from becoming a tool we occasionally use to gather insights to a business necessity imperative for making data-driven decisions.</span>

Pros

Dynamic allocation.
Addressing cart abandonment issues.
Affinity-based targeting.
Pop-ups and banners.

Cons

Brand templates could need complex CSS/custom code.
We'd like to see a little "i" next to specific labels, which elaborates on what is meant. For example, when I hover over "Dynamic allocation," I get something like "An advanced form of A/B testing where the best-performing variations receive higher traffic."
Jargon (for example, for audience targeting) can be overwhelming for new users; therefore, clearer, user-friendly explanations are needed.

Return on Investment

20% increase in bookings from repeat visitors due to retargeting efforts.
Pop-ups appearing after a short idle time recapture users by up to 35%.
17% higher CTR through A/B testing on various component types (like dynamic content, overlays, visual edits, multi-touch).

Usability

Alternatives Considered

Monetate and Google Optimize

Other Software Used

Monetate, Adobe Audience Manager, Google BigQuery

Verified User

Director in Product Management (10,001+ employees employees)

Use Cases and Deployment Scope

We use Dynamic Yield for both onsite and offsite personalisation in 29 countries around the world today.

We leverage the platform for Product Recommendations, Content Personalisation and Experimentation / A/B Testing in all markets.

For Offiste, we are leveraging the Reconnect toolset to embed Product Recommendations into targeted email and web push notifications.

Pros

Predictive Targeting
Product Listing Page Personalisation
Affinity Profiles
Segment of one Personalisation

Cons

Global campaign management, today we have to implement campaigns repeatedly across different country sites
Global dashboards for campaign performance tracking, this is very fragmented at present
Elements tool seems to be particularly focused on the US, would be great to see this working in other markets as well.

Return on Investment

We see a very positive return on the investment that we have made with Dynamic Yield
The ROI is in line with the expectations that we have of the tool, YoY growth remains constant.

Dynamic Yield

What is Dynamic Yield?

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