Store Reviews

Ecommerce stores often use customer reviews as social proof for their brand and products. Shoppers use this information to help inform purchase decisions. However, review information can also be a useful signal for the size and quality of an ecommerce store. Our customers have often asked us to pull reviews into our database. We've just added review summaries from JudgeMe, Loox, TrustPilot, Okendo, Stamped, Reviews.io and Yotpo to the Store Leads database.

ContactOut Integration

The Store Leads database does not include any personal information, so customers often use other data vendors to find contact information for the stores in our database. Since this is such a common use case, Store Leads provides integrations with Apollo.io and Cognism. To provide another option, we've just added an integration with ContactOut. This integration lets you see ContactOut contact data when using Store Leads. You can also manually create CRM contacts from ContactOut data.

Product Export Enhancements

It's now possible to export data directly from a global product search. When exporting from a product search, you may choose to export the products matching the search or the domains selling the products that match the search. Export dialog. When exporting products: Products can be exported in CSV (default) or JSONL format. CSV format allows you to choose which columns to include in the resulting CSV file.

Product Data in Calculated Values

We've just integrated our product data with calculated values, which means that you can access arbitrary product data when enriching stores in your CRM. This supports a number of new use cases, including: Sending product data (title, price, etc.) for the most recently created product(s) for a given store. Sending product data for any product matching an arbitrary search at a given store (e.g., query for "

Export Historical Filter Values

Way back in 2021, we added a feature to support exporting filter values from the Store Leads Dashboard. This let you export summary information, for a single filter, on any given search. However, it only provided information on a single point in time. What if you want to see how that summary information has changed over time? Until now, you'd have download and query our historical dataset manually, which is a time-consuming effort.

Setting Advanced Search Filter Values In Bulk

We've just added support for setting advanced search filter values in bulk. This can be useful in scenarios where you need to find all products that match a few thousand different barcodes or SKUs. Bulk set filter values dialog For more information, refer to the Product Search documentation.

Export Products Sold At A Store

Products sold by individual Shopify solds can now be exported to CSV (or JSONL) format through the Dashboard. Export button for stores sold at a domain For more information, refer to the Product documentation. Note that this feature is only available to accounts on the Enterprise plan.

Salesforce API Call History

Salesforce has a limit on the number of API calls that each customers can make. Customers can purchase additional API calls if they require more capacity. We're often asked how many Salesforce API calls Store Leads has performed. While this information can be retrieved through the Salesforce Admin site, it can be difficult to find the correct reports (or, worse, your Salesforce account may not be allowed to access that information).

Custom Match against HTTP Headers

Custom Matches can now be defined to match against the value of specific HTTP headers. This can be useful when trying to find sites using a technology that sets an HTTP header. Custom Match on HTTP Header.

Historical Data

Store Leads maintains archives of store data in all of our weekly data updates going back to early 2019. In the past, the only way to access historical data was to download it through our API. This was a fairly tedious process that required technical assistance to integrate with our API. Once the data was downloaded, it was still challenging to make use of it since the total data volume exceeds 1 terabyte.