Personalization tool
Conductrics
Rule-based and algorithmic (contextual bandit) targeting that reacts to in-session behavior, not just page loads.
Experience delivery
E-commerce, B2B, SaaS, Media & subscriptions
The vendor’s claim
Conductrics triggers personalization based on specific user interactions (such as opening a cart or scrolling a specific element into view) rather than on page loads alone, and uses contextual Multi-Armed Bandits with Thompson Sampling to dynamically allocate traffic toward best-performing variations.Source
Where it’s strong
- Combines explicit rule-based targeting with contextual multi-armed bandits using Thompson Sampling to shift traffic toward better-performing variants in real time
- Triggers fire on specific interactions (cart-open, element scroll-into-view) rather than only on page load
- Decisions are exposed as human-readable decision trees, and the platform is SOC 2 Type 2, GDPR, and HIPAA compliant
Where it runs out
- No G2 reviews or public pricing found. Custom quote only, making it hard to benchmark cost or read independent user feedback
- A bandit optimizing traffic allocation can quietly erode a true fixed holdout if teams don't explicitly configure one
Best for
Teams who want on-site experience selection they can explain and audit, not a black-box recs carousel.
Questions before you buy more of it
- Can we keep a true default while the bandit runs, or does it always reallocate toward the leader?
- Does the decision fire in the page, or only as a popup?
Connected applications
Campaign message match
The page keeps the promise the ad made.
The ad made a promise the page doesn't keep.
Three-intent treatment inside one test
Low: stay out of the way. Medium: a nudge. High: go all in.
They said why they came. You showed the homepage.
Goal-first first screen
The next page is built around the job they just named.
Compare it in the hub
Put up to three tools side by side, or start from the customer situation you want to personalize.
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