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How to Connect LinkedIn Pages as a Data Source in Alta (Connectors)

Connect LinkedIn Pages through the Connectors library so Alta syncs your organic follower, post, and engagement stats to power social analytics, metrics, and Luna.

Written by Katie Supporté

LinkedIn Pages covers your organic company-page presence — followers, posts, and the engagement they earn. Connecting it as a data source through the Connectors library syncs those stats into your Alta workspace, where they become training data for Alta and a foundation for your metrics, dashboards, and Luna analysis. Once it's flowing, you can measure follower growth, reach, and post engagement — and ask Luna questions in plain English. LinkedIn Pages connects with credentials.

Who this is for: Marketing and brand teams who want organic LinkedIn performance measured alongside paid and pipeline data in Alta.


Before you start

  • Have admin access to the LinkedIn Company Page and the credentials the form requests.

  • Connect a source only once per workspace. If LinkedIn Pages already shows Connected, edit the existing connection.

Connect LinkedIn Pages

  1. Open Connectors from the sidebar.

  2. Find LinkedIn Pages via the Data tab or the Search data sources box.

  3. Click the LinkedIn Pages card to open the Create connector screen.

  4. Fill in the connection fields shown, then click Create.

  5. Alta runs a connect test. If it fails you'll see The connect test has failed with the provider's error — fix the field and retry.

  6. The card then shows Connected and Data is syncing until the first sync finishes.

Choose which tables sync

  1. Open the connection. LinkedIn Pages brings in follower statistics, share/post statistics, and posts.

  2. Use the Synced toggle in the LinkedIn Pages tables section to control what's pulled in.

  3. Turn off Show only synced tables to see everything available.

Key tables and fields synced

  • follower_statisticsdate, organicFollowerGain, paidFollowerGain, follower counts by segment

  • share_statisticsdate, impressionCount, clickCount, likeCount, commentCount, shareCount, engagement

  • posts / sharesid, created, text, author/organization

What you can ask this data

Once it's syncing, build it into metrics and dashboards or just ask Luna / Ask AI. For example:

  • "How are followers growing month over month?" — trends follower_statistics gains.

  • "What's our average engagement rate per post?" — uses share_statistics.engagement.

  • "Which posts got the most impressions?" — ranks share_statistics by impressionCount.

  • "How is reach trending over time?" — trends impressionCount by date.

Build your first metric (worked example)

  1. Confirm share_statistics shows Last sync — Succeeded.

  2. In Metrics, create a metric measuring sum(impressionCount) with date as the date field.

  3. Set the period to weekly to see reach trend.

  4. Save, add to a dashboard, then ask Luna "how is our LinkedIn reach trending?" to confirm.

Example use cases

  • Organic social dashboard. Follower growth, reach, and engagement over time.

  • Content performance. Top posts by impressions and engagement to guide content.

  • Organic + paid. Combine with LinkedIn Ads to see total brand presence.

Keep it in sync

  • Sync status shows Last sync (Succeeded/Failed) and the Sync frequency.

  • Click Sync now to refresh immediately; it's disabled while a sync runs.

  • Use the overflow menu () to Disable, Enable, or Delete.

Tips and common pitfalls

  • Engagement lives in share_statistics. Sync that table to measure reach and engagement.

  • Admin access is required. The connecting account must be a Page admin.

  • Deleting is permanent. Disable instead to pause.


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