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Hello,It would be useful to add the existing metrics for LinkedIn newsletters, which we need to report on in the same way as other KPIs.Best regards,Lisa
Support Adds to wishlist (website) metric
Hi team,Meta recently introduced the “Instagram follows” metric in Ads Manager, which allows advertisers to track the number of new Instagram followers generated directly from ad campaigns (at campaign / ad set / ad level).This metric is already visible in Ads Manager (see attached screenshot), and it should also be available through the Meta Ads reporting API.However, it is not yet supported in the Facebook Ads connector in Supermetrics, which prevents us from including it in our automated reporting.📌 Request: Please add the Instagram follows metric (new followers generated by ads) to the Facebook Ads connector, alongside the existing ad performance metrics (impressions, clicks, conversions, etc.).This would enable us to: Directly measure Instagram followers acquired through ads, Link ad spend to community growth on Instagram, Centralize reporting with all our other campaign KPIs in Supermetrics. ➡️ Reference: The metric has been available in Ads Manager since July 2025.Thanks in advance for prioritizing this integration 🙏
I'd like to suggest enabling better integration between the TikTok Ads and TikTok Organic connectors to retrieve Spark Ads thumbnails.Currently, when pulling TikTok Ads data, thumbnails work fine for dark ads, but Spark Ads thumbnails are missing. Since Spark Ads use organic TikTok posts as creatives, the thumbnail URLs aren't being returned by the TikTok Ads connector.Since Supermetrics already has a TikTok Organic connector, it would be great to either enable blending between TikTok Ads and TikTok Organic data (using video ID or post URL as a join key), or add a field to the TikTok Ads connector that pulls thumbnail URLs directly from the organic post data for Spark Ads.This would allow us to build complete creative performance dashboards without manually exporting and matching thumbnails via Google Sheets.Would love to see this feature added!
When applying filters to conversions, basic metrics such as impressions, clicks, and cost can’t match together.To display filtered conversions alongside standard metrics, the workaround is to create a second tab with the same row sorting. However, the 'show all time' toggle occasionally fails, causing rows with zero conversions to disappear and desynchronize the two views.Make ‘all time value’ working anytime could be the solution.
engaged_views was available from 10 February 2025 onwards and is an optimization goal in Snapchat. This should be made available as soon as possible. https://developers.snap.com/api/marketing-api/Ads-API/measurement
Facebook Stories are an important content format for our reporting, but Supermetrics currently does not support retrieving their metrics due to Meta API changes. Please consider adding support for Facebook Stories metrics in Supermetrics (where Meta APIs allow), ideally at the story level. This would enable more complete and consistent performance reporting for us as a publishing company.
We recently confirmed with Supermetrics support that the Shopify connector does not currently include: Inventory by warehouse location Purchase order data Inventory transfer data We’re sharing this as a public request to the Supermetrics engineering team—and to other users who may benefit from the same fields.For multi-location and omnichannel brands, total inventory numbers aren’t enough. We need: Location-level inventory for allocation and sell-through analysis Purchase order visibility for inbound forecasting and cash planning Transfer data to understand stock movement across warehouses Without these, operational reporting remains incomplete and requires manual exports from Shopify.If this would improve your reporting stack as well, please upvote or submit the idea on the Supermetrics Community page. The more demand engineering sees, the more likely it is to be prioritized.Would love to see the Shopify connector evolve to better support modern inventory operations.
Two suggestions:The Mailchimp API data (at least for campaigns) is raw and does not align with the cleaned up click and open data available in Mailchimp. Can the API data include the cleaned up data? For the List Members query, can you add a Campaign dimension so I can see data by contact in a specific campaign? There are way too many query types. Can they be combined into one or two?
I am facing an issue / a limitation with LinkedIn company pages data. So basically we are gathering LinkedIn post data in a Google Sheet using Supermetrics. We are looking at the following: Week over week performance: Nb of posts (“updates”) we published on LinkedIn + some other metrics (nb of impressions, nb of interactions, engagement rate etc.) Post-level performance: How each of the posts performed (same metrics but on a post level + the link to the visual that we then use for design insights)Now here is my issue: The “Date” field is actually not giving me the date the post went online, but the date that it has been scheduled. We rely on the LinkedIn scheduling functionality as the posting is done by a working student only working 2-3 days per week. So we end up having posts attributed to the wrong day & week. Would be great to have the actual posting date shown - could you guys look into that?
It would be beneficial for the Supermetrics API to support the 'Gross Revenue (Shop)' metric for the TikTok Ads data source, as this is a key metric for tracking campaign GMV.
We often have the case that one of our user accounts has to reset the password because of Facebooks security limits. This leads to all supermetrics transfers failing and a lot of work for us:re-adding the account backfilling all transfersIt would be great if we could define a fallback account that is used for the transfers, if the account is failing.
I would like to be able to pull in data around my custom events from my Meta ads account.-Custom event name/id-Number of each custom event-Cost per custom event
At the moment, the data type in Google Sheets is used to mark a column as dimension or metric, i.e. numerical values are metrics and other values are dimensions (https://supermetrics.zendesk.com/hc/en-us/requests/30218?page=1)This is not helpful and it’s not possible in all cases to change the data type in Google Sheets without causing problems with formulas.All columns should be available as metrics and dimensions
Currently, the Reddit connector only goes to the ‘Region’ grain. It’d be nice if we could have finer grain options that are already available via the Reddit Ads API.
Issue: A data blend fails due to one or more, of many, data sources failing due to data source(s) not being available for any reason. Example: A blend of 8 different ad platforms, fails, due to reauthentication is needed for a single platform. Then the entire blend fails, and impacts all reporting, in some cases you cannot successfully re-run the blend as it would then max out the quotas for platforms such as Goolge or Adform. Impact of the Issue: For all types of customers, media owners, agencies and brands, this has an implication on all reporting now being behind by a day or potentially longer. The knock on effect to agencies and media owners is larger than a brand, as their customers (brands), then do not trust reporting and thus teams move back to manual reporting and reduce the adoption of reports that are powered by Supermetrics. It isn’t the ad platform that gets the blame, it will ultimately be Supermetrics and potentially the dashboarding solution sitting on top. Solution: Update the processing of blends, to continue to run with “available data sources”, so that partial reporting is available. Commercial Outcome: It moves the trust issues or blame from Supermetrics to the ad platforms, thus removing the potential adoption issues, renewal risk an increasing upsell opportunities.
Currently, when setting up a Cloud Storage destination (like Google Cloud Storage), it is difficult to organize data into a standard partitioned folder structure (e.g., folder/YYYY/MM/DD/file.parquet) because the "Upload Path" field often treats date tags as literal strings or lacks support for granular date variables.The Solution: I would like to suggest the implementation of native support for date variables within the Upload Path field. Ideally, this would include: Standardized Tags: Support for tags like {YYYY}, {MM}, and {DD} that resolve based on the data's date range or the execution date. Dynamic Subfolder Creation: The ability to use the forward slash / character combined with these tags to automatically generate the directory structure in the bucket. Hive Partitioning Format: Enabling users to define paths like year={YYYY}/month={MM}/day={DD}/ to facilitate seamless integration with Data Lake tools like BigQuery External Tables, AWS Athena, or Spark. Why this is important: Data Organization: Manually managing massive amounts of data in a single root folder is not scalable. Query Performance: Partitioning is essential for optimizing query costs and speed in BigQuery/Athena. Automation: It eliminates the need for middleman scripts (like Cloud Functions or Glue) just to move files into the correct date-based folders. Use Case Example: A user wants to export Google Ads data daily. With this feature, the path would automatically resolve from google_ads/data/ to google_ads/2026/01/28/data.parquet without manual intervention.
At Instagram Insights it is possible to see the percentage of followers that have viewed your post/reel vs the percentage of non-followers that viewed it. Since we have a new brand it is very interesting to know how many non-followers we are reaching. We want to set a target on it. Is it possible to add this in Supermetrics so that we are able to use it in our data?
We are currently using the Sprout Social connector, but it only offers "Profile Performance" (aggregate) and "Post Performance." We need the "Instagram Business Profiles" report data added to the connector. Sprout's API documentation shows this data is available already. Without this, we cannot report on: Specific IG metrics (Story Taps, Exits, Reach vs. Impressions). Paid vs. Organic breakdowns (which are available in the specific IG Business endpoint but not the aggregate Profile endpoint). Getting this endpoint would be extremely helpful for us so we don't have to manually pull this data from Sprout or direct from Instagram each time we need it!
We’re requesting inclusion of the following Pardot fields:spam complaints total opt outs template name hard bounces soft bounces email client HTML opens (total and unique)As well as the ability to report data based on the date dimension “Email sent time”. Currently we can only select “Date created” or “Date updated”.
We’d love to get a few metrics that are available in the Yahoo DSP API per their documentation (https://help.yahooinc.com/dsp-api/docs/metrics) Dynamic Conversion Value: Field 305 Estimated Store Visits: Field 453 Estimated Unique Store Visits: Field 455 View-Thru Dynamic Revenue: Field 465 Click-Thru Dynamic Revenue: Field 467 Weighted Conversions: Field 757
Hello,We would like to request that the “Average watch time per impression” metric be made available in the Google Ads connector.This metric measures the average amount of time a user spends watching a video ad per impression and is very valuable for branding and YouTube performance analysis, especially when evaluating attention and creative effectiveness.Currently, this metric is available in Google Ads but does not seem to be accessible via Supermetrics. Having this field would significantly improve video performance reporting in tools like Looker Studio and Google Sheets.Is there any plan to support this metric, or is there an alternative field you would recommend for the same insight?
Hello,according to Meta, a few new metrics got launched for the Instagram Insights API:Reels Skip Rate Repost Counts for Media Repost Counts at Account Level Crossposted Views Updated Views for Crossposted Reels: Facebook Views Crossposted Views https://developers.facebook.com/blog/post/2025/12/03/instragram-api-updates/It would be amazing to have these metrics in the connector available soon.
Other supermetrics competitiors mention facebook page new followers and facebook page lost followers: https://help.hootsuite.com/s/article/fb-metrics-analytics-deprecation?language=en_US I don't find the equivalent in supermetrics. in meta API https://developers.facebook.com/docs/graph-api/reference/v23.0/insights you have page_daily_follows_unique* and page_daily_unfollows_unique*. They only have deprecated Page_fan_adds_uniqueandpage_fan_removes_unique. why i don't have access to them using supermetrics? Can you add them?
Hi there, Wondering if there are any plans to allow WIF opposed to Service Accounts, based on Google’s recommendation that WIF is more secure than Service Accounts. https://docs.cloud.google.com/iam/docs/workload-identity-federation?hl=en&_gl=1*cjfzyz*_ga*NTk3MTY5NzE2LjE3NTg1MzYwMjc.*_ga_WH2QY8WWF5*czE3Njc3NDg0MzQkbzEyJGcxJHQxNzY3NzQ4NTIzJGo2MCRsMCRoMA.. Thanks,Brent
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