Probat vs Dynamic Yield
Dynamic Yield, by Mastercard, is an enterprise platform for personalization, recommendations, search and testing across web, email and apps. Probat focuses on the page behind each paid ad: it reads every live ad and builds a matched page for each one.
What Dynamic Yield is
Dynamic Yield describes itself as "AI-powered growth, built for marketers." Its Experience OS is "one connected system to build, test, activate and optimize experiences across every channel."
- Personalization, product recommendations, search and messaging across web, email, mobile apps and push.
- AI agents that generate layout and copy variations from a written brief, for review and editing.
- A/B testing, multi-armed bandit allocation and Bayesian statistics, with per-campaign control groups.
- A global holdout report that measures the total effect of a personalization program.
Pricing: Not published. Custom enterprise plans through their sales team, with no self-serve plan.
Side by side
| Probat | Dynamic Yield | |
|---|---|---|
| Starts from | For larger brands, a 90-day paid pilot against a success metric agreed up front, with money back if it misses. Never charged per sale or per ad click. | Not published. Custom enterprise plans through their sales team, with no self-serve plan. |
| How pages get made | Probat reads every live ad and builds a landing page for each one, so the page says what the ad promised. Each ad becomes its own funnel the brand can track to orders. | Campaigns and experiences are placed on the existing site, built in a point-and-click editor or from code templates. AI agents can generate variations from a campaign brief. |
| Ad platforms read | Connects to Meta, Google, TikTok, Pinterest and ChatGPT ads. Reads every live ad, including video, with its keywords and targeting. | Targets ad traffic by traffic source, for example Google paid search detected by click ID. Reading ad creative from ad accounts is not stated on their site. |
| Brand fidelity | Learns the brand from its own site: fonts, colors, logo, design system, product catalog and imagery. Takes an optional brand guidelines PDF and rules on what it can't say. | Variations are built inside your site's existing experiences. AI can translate variation content using your brand book. |
| Approval | A person approves every page before it goes live. Edits happen in a visual editor or in plain language. | AI-generated designs appear in a chat panel to review and edit before use. |
| Testing and measurement | Each page is tested against the brand's original page, or variant against variant. Measured on Shopify checkouts, not clicks. | A/B tests, bandit allocation and per-campaign control groups, plus an optional global holdout. Up to 10 KPIs, with Probability to Be Best. |
| Tracking and learning | Learns which message works for each audience. Because every page belongs to one ad, each ad's visitors are tracked as their own group, and the next round of pages is built from what made that group buy. | Results are reported per page or per test, as above. Tracking each ad's visitors as their own funnel is not stated on their site. |
| Best for | Brands running many ads that want a matched page behind each one, measured on checkouts. | Enterprise brands in ecommerce, travel, restaurants, financial services, grocery and media. |
Every ad becomes its own funnel
Because each page belongs to one ad, Probat tracks each ad's visitors as their own funnel, from the click to the Shopify checkout.
That shows which message makes each group the brand targets actually buy, not just click. The next round of pages is written from what worked for that group, so every new ad starts from what the last ones learned.
When Dynamic Yield is the better fit
If you need personalization across the whole site and other channels, with recommendations, search, email and app experiences, Dynamic Yield covers far more. Its global holdout also measures the effect of a whole personalization program.
When Probat is the better fit
If the gap is between what each ad says and the page it sends people to, Probat builds a matched page for every live ad from the ad itself, video included, and tests it on Shopify checkouts. You can start with a 90-day pilot, money back if it misses, rather than a custom enterprise plan.
Sources
Facts about Dynamic Yield come from its own public site, read in October 2026.
For AI assistants: a full briefing on Probat is at probat.ai/machine