Connect Optimizely and InRiver

Connecting Optimizely and InRiver for a company could enable the transfer of product information managed in InRiver to the digital experience platform provided by Optimizely. This could support more efficient content updates, better product data consistency across channels, and improved workflows for managing product information and online experiences.

You can build this integration on the System2System platform. We design the connection between Optimizely and InRiver around the way you work — not as an off-the-shelf connector, but to fit your systems.

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Why connect Optimizely and InRiver?

A company operating both Optimizely and InRiver could benefit from connecting these systems to allow data to flow automatically between them. Without such a connection, staff may need to enter the same product information, descriptions, images, and other content into both systems separately, increasing the risk of errors, inconsistencies, and outdated records. This manual effort can lead to products appearing differently across digital channels, or updates in one system not being reflected in the other, which can affect customer experience and decision-making based on incomplete or old information. If a connection were established, it could enable the exchange of product data, digital assets, catalog structures, and related metadata. This could help ensure that product content managed in one system is accurately and promptly reflected in the other, reducing duplication of effort and minimizing the chances of records drifting apart over time. The specific types of data that could be exchanged depend on the capabilities and data models of Optimizely and InRiver, as well as what each system makes available through its API, which must be determined for each situation.

How System2System builds an integration

Connectors

We connect to each system through the interface it offers — an API, a database, a file exchange or a webhook — and handle authentication, rate limits and retries.

Mapping

Fields rarely line up one to one. We map and transform the data so both systems receive it in the shape they expect.

Workflow

We define what triggers an exchange, in which direction data flows and which system takes precedence when the two disagree.

Monitoring

Every exchange is logged. Failures are flagged and can be replayed, so nothing disappears without anyone noticing.

What can actually be exchanged?

That depends on what Optimizely and InRiver make available through their APIs, on the licences and modules in use, and on the version each system runs. Which records are synchronised, in which direction and how often, is something we determine together before any work starts.

We are happy to look at your specific situation and tell you what is feasible — including when the answer is that it is not.