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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.
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
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?
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.
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!
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!
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”.
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?
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
Hi everyone,I’m reaching out to share a feature idea that would significantly improve the reliability of data pipelines. After discussing this with the Supermetrics support team, they suggested I post it here to gauge community interest and visibility.The Problem: Currently, when a data transfer is scheduled between a platform (like Meta Ads) and a Data Warehouse (BigQuery, Snowflake, etc.), the process can fail because of the following : Meta Business Manager (BM) access is revoked or restricted. Individual client account access is lost (common in Agency models). The Proposal: Data Transfer GuardrailsI would love to see Supermetrics implement native guardrails within the transfer settings that could: Proactive Connectivity Checks: Automatically verify if the underlying token still has access to all selected accounts before the transfer begins. Specific Error Masking: Differentiate between a "successful transfer with 0 rows" and a "failed transfer due to Permission/Auth errors." Custom Notifications: Allow us to set up specific alerts (email/Slack) triggered specifically by "Access Revoked" errors, separate from general system errors. Why this matters: For those of us managing dozens of client accounts, catching a "BM restricted" error 5 minutes after it happens—rather than 5 days later during a client presentation—is a game changer for data integrity.Has anyone else faced similar issues with Meta Ads or other connectors? If you think these guardrails would save you time and headaches, please upvote or share your thoughts below!
When submitting a ticket, please add a drop down menu option for account / team. As a solution partner with 5+ accounts that we have access to, it always links our support tickets back to the first account that we had access to and slows down the response from support. Could you add a drop down box that lets us select the account / team that we are submitting for?
Hi, Can we please disable the feature that TikTok Ads automatically prioritises accounts in which we first launched TikTok ads on?This messes up the amount users currently have on prioritised accounts, and makes changing that list on the subscription tab pointless. Thanks, Daniel
Description:Currently, there is no available flied to retrieve the date when a customer was originally created in the supermetrics. This information is important for reporting, customer lifecycle tracking, and auditing purposes.Requested Feature:Please add a Customer Created Date field to the Stripe connector in Supermetrics, so users can easily pull the customer creation timestamp directly into their reports.Why This Feature Is Needed: Allows identification of new vs. existing customers Supports analytics and customer segmentation Helps with auditing customer onboarding timelines Enables reporting such as weekly/monthly customer creation trends
Can you please create the link between your hub account and your support account or at least support the same authentication methods between them: You are able to use Microsoft for the hub log in, but not for the support log in.
One piece of data I find helpful is to know how a social media post ranks among all previous posts from that account. For example, if a post receives 500 engagements, that means it is 88th percentile, ranking 221 out of 1885 total posts.Is there a way to create a custom field that would calculate this?The way I’ve been doing it is within Google Sheets, where all the metrics for all posts is located within a single column so the formula is easy. But I’ve never worked with custom fields in Supermetrics before so I would love if I could figure that out.
Hi Supermetrics team,I’d like to kindly express my interest in having Amazon Ads → Looker Studio supported as a data source in the future.This would be very helpful for building more complete cross-channel dashboards within Looker Studio.I also wanted to share that several similar tools in the market have started offering this type of integration. Because of that, many teams — including ours — are increasingly exploring ways to bring Amazon Ads into Looker Studio more seamlessly.If possible, I hope this connector can be considered for your product roadmap. I’ve submitted the idea through your community page as suggested.Thank you for your time and for continuing to develop the Supermetrics product suite. I look forward to any future updates.
Hello. For the queries, would it possible to create a new data range "Last year & this year to YESTERDAY"? As far as I know the closest one we have is "Last year & this year to date" (see the screenshot) It would be super helpful as, every day, I need to manually delete today's data. Thank you.Regards,
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