Threekit - Optimizely Integration and Automation

Common Integration Use Cases Between Threekit and Optimizely

1. A/B test 3D product visualization versus static imagery

Data flow: Optimizely ? Threekit

Use Optimizely to split traffic between product page variants that feature Threekit 3D and AR experiences versus traditional image galleries. Threekit delivers the visual assets and interactive experience, while Optimizely measures conversion rate, add to cart rate, engagement time, and downstream revenue impact. This helps ecommerce and merchandising teams prove whether immersive visualization improves performance for specific product categories such as furniture, appliances, or configurable electronics.

2. Personalize product page experiences by audience segment

Data flow: Bi-directional

Use Optimizely audience and segmentation logic to determine which Threekit experience a visitor sees, such as a simplified configuration flow for first time buyers or a full feature rich 3D configurator for high intent shoppers. Threekit can return product configuration states and engagement signals back to Optimizely so personalization rules can adapt based on behavior, device type, or prior interactions. This supports more relevant shopping experiences and reduces friction for different customer segments.

3. Optimize which product configurations are promoted on landing pages

Data flow: Threekit ? Optimizely

Threekit can expose configuration data such as popular colors, materials, finishes, or bundles to Optimizely, which then tests different landing page layouts and merchandising strategies. For example, a retailer can test whether showing a best selling sofa fabric first improves engagement compared with a neutral default configuration. This gives merchandising and digital teams a data driven way to promote the most commercially effective product options.

4. Trigger experimentation based on product configuration behavior

Data flow: Threekit ? Optimizely

When shoppers interact with Threekit, events such as model rotation, option changes, AR launches, or configuration completion can be sent to Optimizely as behavioral signals. Optimizely can then use these signals to run experiments on page layout, call to action placement, or guided selling prompts. This is especially useful for complex products where engagement with the configurator indicates purchase intent and can inform the next best experience.

5. Test dynamic pricing or promotional messaging tied to configured products

Data flow: Optimizely ? Threekit

Optimizely can control experiments around promotional banners, financing messages, or price presentation on pages powered by Threekit. Threekit can render the selected configuration and associated pricing in real time so each test variant reflects the correct product state. This enables pricing, merchandising, and ecommerce teams to validate which offer framing drives the highest conversion without rebuilding product pages manually.

6. Improve mobile and AR conversion through device specific experimentation

Data flow: Optimizely ? Threekit

Optimizely can identify mobile, tablet, or desktop audiences and route them to different Threekit experience variants, such as lighter 3D assets, simplified controls, or AR first layouts for mobile users. Threekit provides the immersive product experience while Optimizely measures performance by device and interaction pattern. This helps teams reduce load time issues and optimize the experience for users most likely to engage with AR or 3D content.

7. Coordinate cross team optimization of configurable product pages

Data flow: Bi-directional

Product, ecommerce, UX, and analytics teams can use Threekit to manage product visualization assets and Optimizely to test page structure, messaging, and conversion paths around those assets. Threekit supplies configuration and asset data, while Optimizely supplies experiment results and audience insights. Together, they create a closed loop for continuous improvement of high value product pages, reducing reliance on one off design decisions and improving governance across teams.