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Understanding your data timeline

When your data becomes available after connecting — sync times, historical data, and freshness.

Updated today

Overview

When you first connect your data sources to Datadrew, it takes some time before your dashboards are fully populated. This article explains the data timeline — from connection to when you can start making decisions based on your analytics.

The data pipeline stages

Your data goes through three stages before it appears on your dashboards:

Stage 1: Extraction (sync)

Datadrew pulls data from each connected platform. This is the "Syncing" status you see on the Integrations page. The time depends on the platform and the volume of data:

  • Shopify — 15 minutes to 6 hours (depends on order volume)

  • Facebook Ads — 30 minutes to 3 hours

  • Google Ads — 30 minutes to 3 hours

  • Google Analytics 4 — 30 minutes to 2 hours

Stage 2: Transformation

After raw data is extracted, it goes through a transformation process. This is where Datadrew calculates metrics, blends data across platforms, builds cohort tables, computes RFM segments, and prepares everything for your dashboards. Transformations run automatically after each sync and typically take 15-30 minutes.

Stage 3: Dashboard refresh

Once transformations are complete, your dashboards and reports are updated with the latest data. This happens automatically — simply refresh your browser to see the newest numbers.

Timeline from connection to first insights

Milestone

Time after connecting

Integration shows "Connected"

Immediately

First sync begins

Within minutes

Shopify data on dashboard

30 minutes to 6 hours

Ad platform data on dashboard

1 to 4 hours

GA4 data on Website Traffic report

1 to 3 hours

Blended metrics fully populated

2 to 6 hours

Cohort analysis tables ready

2 to 6 hours

RFM segments calculated

2 to 6 hours

Product Performance with ad data

2 to 6 hours

Historical data

When you first connect a platform, Datadrew imports your historical data — not just data from the day you connect. This means:

  • Shopify: Your full order history is imported, giving you cohort analysis and LTV data going back to your store's first order.

  • Facebook Ads: Historical ad performance data is imported, typically going back several months.

  • Google Ads: Historical campaign data is imported based on your account's available history.

  • Google Analytics 4: Historical data is imported based on the GA4 property's available date range.

Note: The amount of historical data available depends on the platform. For example, GA4 retains data based on your property settings (typically 2 or 14 months). Facebook Ads retains data going back to the start of your account.

Ongoing data freshness

After the initial setup period, your data refreshes on a daily schedule:

  • Daily syncs pull new and updated records from each platform

  • Transformations run after each sync to update metrics

  • Dashboards reflect the latest data within minutes of transformation completing

For near-real-time data, the Hourly Performance dashboard refreshes more frequently throughout the day.

For live data from Klaviyo and Google Search Console, Drew AI queries the platform APIs directly, so answers are always up to the minute.

What to do while data is loading

While waiting for your initial syncs to complete, you can:

  • Connect additional data sources (Facebook Ads, Google Ads, GA4, Klaviyo, Google Search Console)

  • Invite team members (Settings > Invite Member)

  • Book an onboarding call with our team

  • Explore the sidebar to familiarize yourself with the available reports

  • Try Drew AI — it works as soon as your first data sync is complete

Need help?

If your data has not appeared after the expected timeframe, or if something looks off, contact us at support@datadrew.io or use the in-app chat. We can check your sync status and make sure everything is on track.

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