How much historical data is synced with Databox when I first connect a Data Source?

When you first connect a Data Source in Databox, we start collecting data from that Data Source's API. This document outlines why there may be different amounts of historical data initially available after connecting your Data Sources. 


Why do Data Sources have different amounts of historical data initially available?

The amount of historical data that initially syncs with Databox differs for each Data Source, depending on a number of factors. These factors include how much historical data is accessible through the Data Source's public API, and any API limits that the Data Source may set to restrict how much data can be synced. 

    Using the Query Builder, you can create Custom Metrics to sync more historical data for select Data Sources.

If you are attempting to use a Date Range that's longer than the amount of historical data available, either partial data or no data will be displayed on your Databoard. 

The amount of historical data that's available for each Metric may differ based on the accessibility of the API. You can learn more about which Date Ranges are available for specific Metrics on the Metrics page in-app.

How much historical data does each Data Source initially sync? 

Upon connecting a new Data Source we sync as much data as possible through an initial fetch. Below is a table outlining the amount of historical data we can initially sync from each Data Source. 

Data Source 
Initial Historical Data Sync
AccuRanker 12 Months
Ahrefs Current Day
ActiveCampaign Current Day
Adobe Analytics 3 Months
Bing Ads 3 Months
BitBucket Limited
CallRail 15 Months
Campaign Monitor Current Day
Copper 12 Months
Drift 12 Months
Eventbrite 24 Months
Facebook Ads 3 Months
Facebook Pages 2 Months
Facebook Groups Current Day
GitHub 1 Month
Google AdSense / AdMob 3 Months
Google Ads 24 Months
Google Analytics 3 Months
Google My Business 18 Months
Google Play Console 2 Months
Google Search Console 12 Months
Harvest 25 Months
Helpscout Docs 3 Months
Helpscout Mailbox 3 Months
HubSpot Marketing 24 Months
HubSpot CRM 12 Months
Instagram Business 24 Months
Intercom 30 Days
Intrix CRM 2 Months
iTunes Connect 90 Days
Jira 24 Months
Klaviyo 24 Months
LinkedIn 12 Months
LinkedIn Ads 12 Months
Localytics Year to Date
Mailchimp Current Day
Marketo Current Day
Mixpanel 2 Months
Moz Current Day
Outreach 25k Results
PayPal Limited
Pipedrive CRM 60 Days
ProfitWell 36 Months
QuickBooks 24 Months
Salesforce 90 Days
SEMRush 3 Months
SendGrid 3 Months
Seventh Sense 14 Months
SharpSpring 75k Results
Shopify 2 Months
Stripe Limited
Teamwork Projects 12 Months
Twitter Current Day
Twitter Ads 24 Months
Vimeo Current Day
VOIQ 3 Months
Wistia Current Day
WooCommerce 36 Months
Xero 3 Months
YouTube Year to Date

How is more historical data generated over time?

Once your Data Sources are connected and actively syncing data, we store the data that's collected in our own database. This allows us to accumulate more data over time as more data syncs are made so that you can report on more historical data in your Databox reports.

For example, let's say you connected your Facebook Pages Account to Databox on June 1st. Through the initial data sync, we can collect 2 months worth of historical data. This means that initially, we can access data for April, May and June 1st in Databox. Date Ranges like Month to Date, Last Month, Last Week, etc. will populate with data on your Databoards. Date Ranges like Last Year, Last Quarter, Year to Date, This Year, etc. will populate with partial data or with no data on your Databoards. 

Let's say that a year passes and your Facebook Pages Data Source remains connected in your Databox Account. Data has been syncing for a full year, so more historical data is now available. Date Ranges like Last Quarter, Year to Date, This Year, etc. will now populate with full data on your Databoards. A Date Range like Last Year will now populate with partial data on your Databoards. 

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