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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?
You’re working hard, pulling data from all your marketing channels. But are you truly seeing the full picture?Learn how to: Effortlessly blend data from different sources for a complete performance overview. Create custom metrics and reports that make sense for your business. Automate data normalization to ensure accuracy and consistency.Check out the webinar here:
Hi there, it would be awesome if you could add the field “Views” for Facebook Insights, similar to Instagram Insights as well because Facebook is currently switching from impressions to views. See e.g. this link: https://hellopartner.com/2024/11/19/meta-introduces-views-metric-replacing-impressions-across-platforms/#:~:text=Unlike%20impressions%2C%20which%20counted%20unique,numbers%20for%20non%2Dvideo%20formats Thanks in advance! 😊Thomas
Dear Supermetrics Team,our organization relies heavily on Dynamics 365 CRM for managing customer relationships and tracking sales activities. Integrating this data into Looker Studio would greatly enhance our reporting and analytics capabilities.Thank you for your time and consideration.Best regardsJulia
Integrating Facebook Ads Image URLs into Looker Studio with SupermetricsIntegrating your Facebook Ads image URLs into Looker Studio (formerly Google Data Studio) can provide valuable insights into your ad performance through a visual dashboard. Incorporating ad creatives into your reporting is extremely useful for:Ad Creative Performance Analysis Campaign Reporting A/B Testing Visualization Creative Strategy DevelopmentWhile some BI tools can import these relatively easily and pull the images with them, others require a bit more effort. In this post, we will focus on one of the more popular BI tools, Looker Studio, and use Facebook Ads as the data source. However, this technique can be applied to any digital media data source that has Image URLs as a dimension.Step 1: Connect Facebook Ads to Looker Studio with SupermetricsSince Looker Studio does not have a native Facebook Ads connector, you'll need a third-party service like Supermetrics. You can either use the Supermetrics connector
My clients take important actions when they start conversation with IG. It shows on Facebook dashboards but the connector is not bringing this data. Any hope to include such important metric?
Hello,We are using the Klaviyo connector on Supermetrics to retrieve statistics from our email campaigns. However, a key field is currently missing: the campaign tag.Since campaigns can be tagged in Klaviyo to facilitate grouping, would it be possible to expose this field in Supermetrics as well?Thank you in advance for your help.
There’s a metric at the keyword level called Landing Page Experience, which gives an indication of how good the landing page is. It would be useful to pull this data so we can stay on top of it.you currently provide the options to pull historical Quality Score data (it returns an error most of the time), so being able to retrieve Landing page experience would be great as well.Also, having Auction Insights available would be helpful to track impressions without needing to log into Google Ads.
Specifically, setting different conversion windows for metrics, as some accounts and end points have different conversion windows used by clients. E.g for app data, we have a 1-day window but for the website, we have a 7-day. Basically, how it is for Facebook Ads.
Hi Supermetrics team,I'd like to request support for the "Shares" metric for Instagram carousel posts via the Instagram Insights connector.Currently, it seems that carousel posts are not included when retrieving the "Shares" metric. While I understand that Meta's documentation doesn't clearly confirm this limitation, recent updates to the Instagram Graph API (v22) may have opened up the possibility to access this data.This metric is important for accurately measuring engagement across all post types, including carousels, which are commonly used by brands and creators.I appreciate the continuous improvements your team is making to stay aligned with Instagram's latest API changes. I hope this feature can be considered for future development.Thanks in advance!
Hi! Looking to see if anyone has any examples of exceptional slides for higher edSpecifically examples for funnel slides for higher ed
Hi,i want to get the total sum of sold products having a certain product tag. I am realy struggling wwiwth getting this to work. In shopify itselfe it is a super easy thing, but somehow the google looker studio ↔ supermetrics connector is struggling wiwth this request since i am not getting it to work. would there be any help?
hi everyone,i’m struggling to find a metrics from Facebook called “Profile Visit”, it’s not available when i tried to pull report from Supermetrics’ extension. Can anyone let me know how to pull this specific metric?Many thanks,Tommy
I am running into a problem where Facebook Ads and Google Sheets (via Supermetrics) aren’t matching up. I have created Custom Conversions in Facebook Ads. Once they have been Activated, I was able to use them as a metric in Supermetrics for Google Sheets. I have since created more of them in Facebook Ads (they are active), but I am not seeing them appear in my Supermetrics side panel. I have re-connected the Facebooks Data Source via the Hub, but I am not seeing any changes in what Custom Conversions are available for me to select. Any help/advice would be appreciated. Happy to share more information as needed as well.Thanks!
Hi, We are trying to use Facebook Ads connector to Looker Studiowhen the campaign objective is OUTCOME_SALES then the reach value will always be zero? how to solve this?
Hoping to hear from some others (especially other agencies) about the benefits of switching to data warehousing for reporting. What improvements have you seen? Was the initial lift easier/harder than expected? Please share your experiences!
Hello everyone,I’m hoping someone will be able to help me. We pay for the Growth account, which allows us to connect 8 accounts to our Google Sheets. However, when I went to use one a few days ago, I received a note saying that I could not get data because it was not one of our prioritized accounts.When I reached out to support, they told me that you can only have 2 prioritized accounts, but I can’t find anywhere to set this. Also, why are we paying for 8 accounts if we can only use 2? It seems a little redundant.Additionally, we have 3 people on our team, and none of us seem to have access to set a priority account. I’m getting a little lost as to what I can do now since support takes a whole day to tell me that we only have 2 prioritized accounts. But if you can only have 2, what’s the point of going above the basic plan?I need help pretty urgently now and can’t really wait another day for support to tell me that I can have 8 accounts but can’t use them.
I have an issue in all of my reports where I use Facebook ads. I've been using them for months and 2 days ago they all went broke with the same error. Facebook error: User may not have permissions to access account act_336487693. But I can't loose access to all ad acounts at once. I checked that and re-authorized all but nothing works.When I try to edit query and choose ad account I see this message: Invalid appsecret_proof provided in the API argument. What should I do? I can't switch connection in every report.Thanks for the help!
Hi everyone,I’m working with large datasets pulled from Supermetrics, and I’m facing challenges when it comes to processing them efficiently. The datasets are growing, and it's starting to strain my current AI computer setup. I’m wondering what the best AI computing setups are for handling such massive datasets.To give some context, I need a system that can:Handle complex data processing and analysis Scale as the dataset grows Integrate well with AI frameworks (like TensorFlow or PyTorch) Be cost-effectiveWhat hardware and cloud-based solutions do you recommend for this kind of workload? Are there specific GPUs, CPUs, or cloud services that work best for large-scale data analysis?Any insights or recommendations would be greatly appreciated!Thanks!
I want to pull data from Instagram which is older than 28days. But somehow in google looker studio, the data does not work past the 28 days, when i for example choose a custom range. What might be the issue here?
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