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What our customers say about us.
After three years of use, Catchr has become essential for both our teams and our clients. So far, it has been our best solution for compiling and analyzing data from different advertising platforms. It’s easy to set up, and the customer service is responsive and excellent.

With Catchr’s automated API, we can finally collect and centralize all advertising data, connect it with booking information, and calculate the real ROAS for our restaurant clients. It gives them full visibility, more autonomy, and the ability to optimize campaigns to maximize ROI.
The solution is a real game changer, providing optimal time savings for our data reporting. The major strength of the solution is their highly responsive and professional support.
Open the Catchr LinkedIn Pages connector in Looker Studio, authorize your Google account, and connect a LinkedIn member account with administrator access to the company Page. Select the Page and create your data source, then add charts for content performance, page views and follower growth. The connection is for company Pages; it does not turn a personal LinkedIn profile into a company analytics source.
Check which LinkedIn member account you used to connect Catchr and whether its Page administrator access is approved. Catchr discovers Pages through that account's approved administrator roles. Access to an advertising account alone does not establish Page administrator access. After correcting the permissions, reconnect LinkedIn and select the Page again.
You can build reports using post impressions, clicks, likes, comments, shares and engagement, alongside page views, unique page views and follower gains. Catchr also exposes post details such as the post identifier, description, type and available dates. Keep page visits, content impressions and followers in separate charts: they measure different parts of your LinkedIn presence.
Catchr requests cumulative statistics for individual posts, while its daily page content report requests activity within a date range. Selecting posts by their reference date does not restrict their counters to interactions on those dates. Use daily page statistics for weekly activity and post statistics to compare content. Compare the same organic scope and date definition in LinkedIn, and calculate an overall engagement rate from total interactions divided by impressions rather than adding post percentages.
Yes. Use follower gains to track additions over time and the total follower count to show the current audience size; the current total is not a historical daily balance. For audience composition, use separate charts for available demographics such as industry, job function, seniority or company size. Demographic counts describe the audience without a date breakdown, and LinkedIn combines paid and organic followers in these demographic statistics.
LinkedIn limits share statistics to a rolling 12 months. Its time-bound follower statistics are available from 12 months before the request up to two days before it, so today's follower gains are not a complete reporting period. A dashboard refresh cannot retrieve statistics LinkedIn has not made available. Keep historical exports if you need a reporting archive beyond the available API history.
Page content statistics cover organic activity. Use the LinkedIn Ads connector for campaign spend, paid clicks and advertising conversions, then bring both sources into one Looker Studio report. Keep paid and organic measures clearly labelled and align their dates before comparing them; Page engagement alone cannot tell you the return on advertising spend.
Our team is always here to answer any questions you may have about our data connector.