Searchspring vs API Implementations – Searchspring Help Desk

Searchspring Implementation

The lift required by your development team is dependent on a few factors. *See more information below.
Designed to match your existing design for a seamless customer experience.
Requires completed design for Searchspring to match.
Built on React.
Four to six week process from requirements approval to integration delivery.
See Searchspring Integration Process for more information.
Overall timeline is typically around 10-12 weeks.

Implementation Support

You will have a dedicated Project Manager, Frontend Engineer, and a Solutions Engineer assigned to your project.
The Project Manager will be your primary point of contact during the project.
The Solutions Engineer will ensure your data is connected to our platform and assist with troubleshooting any data related issues.
The Frontend Engineer will complete the implementation.
Platform training hosted by our Success Team or your dedicated Customer Success Manager.

Long-term Support:

Searchspring owns the codebase and is responsible for making updates/changes that directly impacts the code.
In order to request a change, you will need to submit a support ticket. If the request is large enough to be deemed a project, it will be sent to our Professional Services team for scoping. These projects are susceptible to a fee.
You will have access to our Success Team or a dedicated Customer Success Manager for merchandising and strategy related questions.

Your development team creates an implementation using Searchspring's JSON APIs.
Allows for more control and customization and a tighter integration with your existing code.
All Searchspring features are available using Searchspring JSON APIs.
Requires work from your development team to create implementation.
Integration timeline will depend on your development team, however, we typically see API implementations taking 12 weeks on average.

Implementation Support

You will have a dedicated Project Manager who will be your primary point of contact during the duration of the project.
There will be a Solutions Engineer involved to ensure your data is connected to our platform.
If and when needed, a Solutions Engineer may be pulled into the project to assist with troubleshooting any data related issues, however, there is not a dedicated Solutions Engineer assigned to the project as API implementations are customer led.
All frontend development work is owned by your development team.
Platform training hosted by our Success Team or your dedicated Customer Success Manager.

Long-term Support:

Ongoing support is very limited. Your team assumes full responsibility for any code produced and troubleshooting any potential issues that may arise from your codebase.
We are unable to provide support for coding changes. We also are unable to offer debugging services for code that your team has implemented.
All future front-end alterations must be built and maintained by your development team. Requests that involve back-end (data) infrastructure can be submitted to support.
You will have access to our Success Team or a dedicated Customer Success Manager for merchandising and strategy related questions.

*The lift required by your development team can vary based on a few factors.

Platform
- With BigCommerce and Shopify, Searchspring will integrate directly on a preview theme and provide a changelog. With all other platforms, Searchspring will provide integration instructions that your development team will need to follow in order to integrate on a staging environment to test the integration. Once testing is done, your dev team will also need to integrate on the live environment.
- Data Access is also platform dependent. With Shopify and BigCommerce, we can pull in your data once we receive access to your e-commerce platform. With Magento, Netsuite, and Shopware, we require your development team to install a feed connector. All other platforms will require you to provide a product feed in this format.
Data Quality
- Based on the requirements requested, there may be data cleanup needed in order to make them happen. Clean data is critical for a smooth implementation process.