What integrations should be mandatory in influencer platforms?

It depends on your stack but the common high-value ones are analytics (Google Analytics) for attribution and your CRM for contacts and pipeline.

Add ecommerce (Shopify) if sales tracking matters and an API or BI connector if you pull data into your own reporting. Match integrations to your real workflow gaps.

Verify integrations actually work as needed (real sync versus a token link) rather than demanding a long list of connectors you will never use.

The honest answer is that mandatory depends on your stack and what you are trying to do, so rather than a universal list, the principle is to require the integrations that close your specific measurement and workflow gaps and treat the rest as nice-to-have. That said, a few integrations deliver high value for most teams. Analytics integration (Google Analytics or your web analytics) is near the top, because it connects creator-driven traffic to behaviour and conversions, which is core to proving ROI and even where it works via UTMs rather than a deep connector, the ability to see influencer results in your analytics matters. CRM integration is high-value if you manage creators as relationships, syncing contacts, outreach and status into the CRM your team already uses avoids the data living in a silo.

Other commonly-important ones: ecommerce integration (Shopify or your store) if sales tracking matters, so you can attribute purchases to creators directly, which is essential for DTC and retail brands. API access or a BI connector if you need to pull influencer data into your own reporting or data warehouse, important for data-mature organizations that want everything in one analytics layer. And depending on your workflow, integration with your existing project management, communication or payment tools so influencer work fits how your team already operates. The discipline for setting requirements: map your actual stack and process, identify where a lack of integration would force manual work or break measurement and make those integrations mandatory, while resisting the urge to demand a long list of connectors you will never use (a tool integrating with fifty things you do not have is not better than one integrating cleanly with the five you do). Also verify integrations actually work as needed rather than just appearing on a list, ask how deep each goes (real two-way sync versus a token connection) and confirm it fits your setup, since integration quality varies behind the same logo. So make mandatory the integrations that genuinely close your measurement and workflow gaps, analytics and CRM for most, ecommerce and API/BI depending on your model and judge them on whether they actually work for your stack rather than on the length of the integration list.

Integrations are a campaign-management and stack question rather than something a discovery tool centres on, so the honest move with Flinque is to check its current connector list directly instead of assuming, since that changes over time. The durable point: analytics attribution via UTM-tagged links works regardless of native connectors, so you can get core measurement into your analytics either way and you should weight deeper integrations against your actual stack rather than a generic mandatory list.