Best Practices

Recommended setup

Start with Bitlink clicks + Bitlinks

These two entities together give you the most complete picture. Join them on the id field to get click counts alongside the original URL, title, and tags in one table.

Always set a date range

Bitly's click API requires start and end dates. Without them, you may get empty results. Use the date pickers to define a consistent window — weekly or monthly ranges work well for recurring reports.

Use group_guid as your join key

Most Bitly entities are tied to a group. Keep group_guid in every entity you pull so you can join Group names and preferences to your click or shorten count data later.

Data refresh and scheduling

Match refresh frequency to your reporting cadence

For weekly campaign reports, a daily refresh is more than enough. For real-time monitoring, keep in mind Bitly's API can lag a few hours behind the dashboard — hourly syncs won't give you truly live data.

Use Append for historical click data

Bitly's API returns data for a specific date window each time. Use Coupler.io's Append mode to accumulate click history over time rather than overwriting it — this lets you build a growing dataset without re-pulling old data manually.

Performance optimization

Split large link catalogs by group

If your organization has thousands of Bitlinks, consider creating separate data flows per group rather than pulling everything at once. This reduces the risk of hitting rate limits and makes it easier to filter data downstream.

Pull shorten counts separately from click data

Group shorten counts and organization shorten counts are lightweight endpoints — put them in their own data flow to avoid mixing slow click-data calls with fast metadata calls.

Common pitfalls

Do not rely on a single Bitlink clicks pull to cover a long historical period all at once. Bitly may throttle or truncate responses for very wide date ranges. Pull data in monthly chunks and use Append to combine them.

Do

• Join Bitlinks and Bitlink clicks on id for complete link reports

• Use Append mode to build historical click history incrementally

• Keep date ranges tight and consistent across data flows

• Store group_guid and organization_guid fields for cross-entity joins

Don't

• Pull Campaigns or Channels on a Free plan — they'll return 403 errors

• Set identical wide date ranges on every entity — only click-based entities need date filtering

• Ignore the archived field in Bitlinks — archived links can inflate your link count if you don't filter them out