This is the Electy Review. Today, RAW export is not business intelligence, and most Hubspot analytics integrations fail because teams treat them as a connector installation rather than a data quality and decision-making project. The argument is simple. Exporting records is easy. Building a trustworthy dataset that joins anonymous sessions, known contacts, offline activity, spend, pipeline stages, and revenue is much harder. HubSpot opened the door early. Its analytics API launched on May 11, 2018, with three endpoints for pulling HubSpot data into external business intelligence workflows, gated behind the Business Intelligence Outh scope, with API key access limited to marketing enterprise portals. The ecosystem followed, more than 300 certified apps in September 2019, more than 1,000 integrations by January 2022, more than 1,500 by December 2023. More options. Not more trust. Here is where it breaks. If the tracking code is not on a page, it belongs before the closing body tag, HubSpot collects no page views, events, or traffic from that page. But form submissions still arrive through HubSpot forms or the Forms API. So leads keep appearing and teams wrongly assume tracking works. Visitor identification rests on the browser's HubSpot UDK token plus and email address. Consent refusals, cookie loss, ad blockers, and cross-domain journeys fragment one person into several identities. Attribution fields get overwritten. Life cycle stages move backward. The platform's limits deserve the same skepticism. The custom report builder counts automatically selected connective sources toward a maximum of five possible sources, and some combinations are simply unavailable when no relationship path exists. Data sync propagates changes generally within 10 minutes after the initial sync, an expected interval, not a real-time guarantee. Salesforce's HubSpot connector documentation caps synchronization at 100,000 rows or 500 Mauris Marbi per object, whichever comes first, and warns that API exposed fields may not match the full property set. New data generally takes 10 to 15 minutes to appear in reports. Custom reports refresh roughly every two hours. Custom reports can view up to 10 years of event data, which fixes nothing about inconsistent event names. So the discipline define the decision before the dataset. One authoritative source per metric revenue from finance, not a campaign dashboard. Preserve raw extracts and history. Reconcile every load. Report attribution as a confidence statement, high, medium, limited. Automate only after validation. That's the review.