Google Workspace Marketplace

The businesses here build inside Google Workspace rather than around it. Practically, that means add-ons and connectors that live in Sheets, Docs, Gmail or Looker Studio: pulling ad spend and campaign data from Google Ads, Facebook, LinkedIn or call-tracking platforms straight into a spreadsheet or dashboard, automating mail merges and reminder emails from a Gmail account, or turning a static document into a shareable, trackable flipbook. Nothing requires a separate login or a new platform to learn — the work happens where marketing and operations teams already sit.

People end up looking for this because a manual process has become the bottleneck. A marketer is exporting numbers from three or four ad platforms every Monday and pasting them into a client report by hand. An agency account manager is rebuilding the same Looker Studio dashboard for every new client because there's no repeatable connector. A sales or ops team is sending the same follow-up email one contact at a time, or trying to get a PDF to behave like a proper document with click tracking and page views. None of these are big technical failures — they're small, recurring pieces of work that quietly eat a day a week and introduce copy-paste errors into numbers someone else is making decisions on.

The providers solve it by either connecting to a specific data source or handling a specific repetitive task, and that's the main line to sort them along. Some specialise as narrow, well-maintained connectors for one or two platforms (Google Analytics, Google Ads) into Sheets or Looker Studio; others position themselves as broader ETL or data automation layers that blend many sources into one warehouse or dashboard, which costs more but removes the need to stitch tools together yourself. On the productivity side, differences show up in what's automated (mail merge versus reminders versus document tracking) and how deeply it integrates with Gmail versus just Sheets. When comparing vendors, check refresh frequency (live pull versus scheduled sync), how many source platforms are actually supported versus advertised, whether pricing is per connector, per seat or per row of data, and how much history you can pull before hitting a limit — these details matter more than the pitch, because they determine whether the tool still works once you're relying on it daily.