Can I export CustomerLabs events and audience data into Google Sheets?

Yes. CustomerLabs writes events, audience membership, identity-resolved profiles, CRM attributes, and offline conversion data to Google Sheets. Reports, dashboards, and pivot tables in Sheets stay live without manual exports.

Can I export identity-resolved profiles with CRM attributes to Sheets?

Yes. Every row in Sheets carries the full identity-resolved profile (email, phone, CRM stage, lead score, owner, LTV, last activity, source) for each user, so Sheets becomes a working dataset for sales handoffs, outreach lists, and ops workflows.

Can I export audience membership changes to Sheets in real time?

Yes. When a user enters or exits a CustomerLabs segment (high-LTV, churn-risk, MQL, VIP, etc.), CustomerLabs writes the change to Sheets. Sales sees the latest VIP list, CS sees the latest churn-risk list, and ops sees segment movement this week.

Can I export offline conversion data and attribution to Sheets for finance reporting?

Yes. CustomerLabs writes offline conversion events with attributed click context (GCLID, fbclid, campaign source) and CRM deal values to Sheets. Run revenue-by-campaign reports, marketing-sourced pipeline reports, and offline conversion audits without leaving Sheets.

Does CustomerLabs work with private Google Sheets and shared Drive folders?

Yes. After OAuth authentication, CustomerLabs writes to any Sheet the authenticated Google account has permission to access. Private Sheets, team Drive folders, and shared spreadsheets all work. CustomerLabs doesn't store the Sheet itself, only the connection.

How long does it take to set up the Google Sheets integration?

About 5 to 10 minutes. Authenticate Google via OAuth, select the destination spreadsheet and tab, map columns to event fields or profile attributes, and go live. No-code throughout. Real-time sync starts when authentication completes.

Should I use Google Sheets or BigQuery as my export destination?

Sheets fits ops workflows, ad-hoc reports, and small to mid-volume exports (under ~100K rows updated per sync). BigQuery fits analytics teams running queries on millions of rows and feeding BI tools. Most brands use both: Sheets for sales-team and finance workflows, BigQuery for warehoused customer data and analytics.

Google Sheets Integration with CustomerLabs

CustomerLabs writes identity-resolved events, audiences, and CRM profiles into Google Sheets in real time — no CSV exports or engineering.

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How brands use CustomerLabs for Google Sheets

Export Website Events And Identity-Resolved Profiles Into Sheets For Live Reporting

RevOps and growth teams need website event data, identity-stitched profiles, and CRM-enriched attributes in Sheets for ad-hoc reporting, board decks, and weekly reviews, but exporting requires CSV downloads or BigQuery queries. Every row in the Sheet is built from website, CRM, and offline sources connected once into CustomerLabs.
CustomerLabs writes events, identity-resolved profiles, and user properties (CRM stage, lead score, LTV, owner) directly to Google Sheets on a schedule or in real time, so a Sheet always reflects the current state of your CustomerLabs data.
Pivot tables, dashboards, and weekly attribution reports stay live in the spreadsheet your team already uses, without leaving Sheets.

Push Audience Membership And Segment Changes To Sheets For Ops Handoffs

Sales and CS teams need to know which leads landed in which audience segment (high-LTV, churn-risk, MQL, VIP), but audience exports require manual downloads from each ad platform or CDP.
CustomerLabs writes audience membership and segment changes to Google Sheets in real time, so sales sees the latest VIP list, CS sees the latest churn-risk list, and ops sees who moved between segments this week.
One row per user, updated as segments change, ready for sales workflows, account assignments, or campaign handoffs.

Export CRM-Resolved Offline Conversion Data To Sheets For Finance Workflows

Finance, FP&A, and marketing teams need a clean view of offline conversions (deals closed, demo bookings, phone orders) attributed back to ad campaigns, but pulling this from ad platforms or CRM requires custom reports.
CustomerLabs writes offline conversion events, attributed click context (GCLID, fbclid, campaign source), and CRM deal values to Google Sheets on a schedule.
Run revenue-by-campaign reports, marketing-sourced pipeline reports, and offline conversion audits in Sheets without leaving the tool finance already uses.

Send Identity-Resolved Profile Snapshots To Sheets For Ad-Hoc Team Workflows

Marketing, sales, and partnerships teams often need a list of users matching a specific signal pattern (visited pricing in last 7 days, MQL stage, high-LTV cohort) for outreach or analysis, but pulling this from a CDP requires queries.
CustomerLabs writes profile snapshots to Sheets based on any segment definition, with full identity-resolved attributes (email, phone, CRM stage, last activity, LTV) attached to each row.
Outreach lists, partner handoffs, and ad-hoc workflows happen in Sheets without engineering or query-writing.

View the Google Sheets Integration document with CustomerLabs

Handling brands across health & wellness, eCommerce, and ticketing businesses, cross-domain conversion tracking was always a major challenge. CustomerLabs became a lifesaver by helping us build a strong first-party data infrastructure. From accurately tracking conversions across domains to seamlessly activating data across ad platforms, everything became far more reliable, clean, and efficient.

Sam Follet Strategic Director, Utilise Social

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CustomerLabs + Google Sheets Integration

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How does CustomerLabs send data to Google Sheets?

CustomerLabs connects to Google Sheets through OAuth using the Google Sheets API. Authenticate your Google account in CustomerLabs, select the destination spreadsheet and tab, and CustomerLabs writes events, profiles, and audience data on a schedule (real-time, hourly, daily) into the Sheet automatically.

How does CustomerLabs send data to Google Sheets?

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