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Standard Analytics Explained

ContentCal's standard Analytics offering provides a simple snapshot into how your social media content is performing and where you could improve in the future.


This guide is for customers who signed up to ContentCal after the 30th November 2021. Users who signed up before the 30th November 2021, will not yet have access to this version of our standard analytics offering. If you signed up before the 30th November 2021, you will need this help doc instead.

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Note: Standard Analytics is available on all paid plans. Advanced Analytics affords you deeper insight into your and your competitor's performance and brings this to life through interactive charts and graphs. Advanced Analytics can be added to any of our paid plans at an additional cost. To find out more and try out Advanced Analytics, get in touch at support@contentcal.co

Your analytics can be viewed by heading to the 'Analytics’ tab within your Calendar.

This guide focuses on how to use our standard analytics offering. For information on how to use Advanced Analytics, read this guide instead:

🤔 Other Product Areas
Advanced Analytics explained

Here’s how you get started with ContentCal Standard Analytics

Connecting Social Channels

Head into the ‘Publish’ area of ContentCal, select ‘Setup’, and connect your chosen social profiles.

Accessing previous performance

Accessing your data in ContentCal Analytics is not dependant on using ContentCal to publish your posts, so you will get an accurate representation of your content performance.

When you first connect a social account to your analytics, we will display 1 month of historical data. However, this may take up to 4 hours to populate as we sync and gather data from the social channels in 4 hour intervals.

The times that we refresh the data (in UK time) are as follows: 12:00am, 4:00am, 8:00am, 12:00pm, 4:00pm, 8:00pm

If you have had your social channels connected for 2 months or more, you will be able to see up to 3 months of historical data for your channels.

Interacting with the data

On the left-hand side of the Analytics tool, you’ll see ‘Channels’. Here you can toggle between seeing individual channel performance or an aggregated view across all of your connected channels.

You can also evaluate your performance over multiple timeframes by selecting a pre-defined date range or a custom date range. You can look at data up to 3 months in the past.

Channels and their data

Channels available in Standard Analytics

Data is available for...

  • Facebook Pages
  • Instagram Business Accounts with 100 followers or more
  • Twitter accounts
  • LinkedIn Company Pages

Available data per channel

The data available for your Page Analytics is as follows...

  • Facebook Pages: total followers, posts published, engagements, impressions, reach
  • Instagram Business Accounts: total followers, posts published, impressions, reach
  • Twitter accounts: total followers, posts published
  • LinkedIn Company Pages: total followers, posts published, engagements, impressions

The data available for your Post Analytics is as follows...

  • Facebook Pages: likes, comments/replies
  • Instagram Business Accounts: likes, comments/replies
  • Twitter accounts: likes, comments/replies, retweets, quotes
  • LinkedIn Company Pages: likes, comments/replies

Data points explained

Totals: This is the total amount of followers your account had on the last day of the selected date range

Posts published: This is the total amount of posts published during the time period, irrespective of whether it was published through ContentCal.

Engagements: This is the total amount of interactions such as likes, comments, shares, and retweets your account(s) had within the selected date range

Impressions: This is the total amount of times your posts were seen within the selected date range

Reach: This is the total amount of unique profiles that saw your posts within the selected date range

Numerical and Percentage improvements

By each of the above metrics, you’ll see a positive (green) or negative (red) number to help you easily identify if your performance against a certain metric was up or down compared to the period prior to the one you are analyzing. For example, if you are looking at last weeks’ data, this comparison is based on the week prior to that.

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