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What's happening in the Supermetrics Community? We're thrilled to share what's been happening and what's on the horizon! A huge thank you to our incredible Community. You're the fuel that keeps us going! 😍 Join the conversation and level up your game Head over to the discussions in Community and ask or see what your fellow data enthusiasts are discussing. Help a fellow community member by starting a conversation and earn your Conversation Starter badge. 💡 What are our users saying? Community member of the Joe Mineo What's Coming Up? Learn from the best in the industry and get actionable insights for your data-driven marketing.From Garbage In, Garbage Out: Ensuring Data Integrity Want to ensure your data is top-notch? Join our Community Exclusive webinar to learn the importance of data quality and discover practical methods to maintain it. We'll cover:Defining data quality Why it matters Real-world examples of implementationDon't miss this opportunity to elevate your data game! Regis
💡 Insert image creatives into Google Sheets reports to make your reports more descriptive. Use cases:Ad creative analysis and reports Social media content analysis and reports Website image analysisHow to insert an image creative into Google Sheets? 👉 Use the formula =IMAGE("URL"), where the URL is the public web address of that image.See how we used the example of image creatives from Nike’s Instagram account pulling data with Supermetrics Instagram Public Data connector:
The number of sessions is just a fraction of what it should be. I go to the GA4 and see a higher session count for the Paid Search, Organic Search, Unassigned, Direct, Referral and Organic Social category sessions. The amount in these categories from the SuperMetrics Query into our Google Sheet is underreporting what is in the platform. I tried 2 different accounts and several refreshes. We have no filters that are obvious to me.
Welcome aboard, marketing analytics gurus! 🎉 We're thrilled to launch our very first Supermetrics Community Challenge. Our Community Challenges are a chance for us all to dive into the exciting world of marketing analytics in a fun way. The rules of the first Challenge are simple: In the replies to this post, share your favorite marketing analytics trick you wish you knew sooner. “Like” the replies of other Community members that resonate with you the most. We'll award 2 participants with a special gift box worth $200: one for the most upvoted response and one for the response chosen by the Supermetrics Team 🎁✨ ⏳ The challenge ends on June 30, 2024. Our example of the trick: when analyzing the performance of different ad creatives in Google Sheets, use the formula =IMAGE("URL"), where the URL is the public web address of that image. It'll add an image of the ad to your report and make it more descriptive 🤩 Here’s our short demo video. Can't wait to see your answers! P.S. Commen
Can you believe it😱 Our Salesforce connector is finally released from early access🎉This means that the data source has been fully updated, and you can now enjoy all of its use cases and capabilities. Here are some inspirations:Visualize the full sales & marketing funnel by combining your Salesforce data with those from web analytics and marketing channels. Identify your top lead-driving campaigns and marketing initiatives. Create historical reports and understand the opportunity growth trend by storing your data in data warehouse products.I know a lot of our customers have Salesforce in their tech stacks, so why not give it a go and start your free 14-day trial.Start your free trial here!
Thank you everyone who joined our SuperSummit 2024 🙏 Hope you found all the sessions useful 🤓Attached you can find the slides from my session with Jakob from Google Cloud and the key takeaways I think are the most important to remember:Data First: A strong data foundation, including omni-channel collection, integration, and unified storage, is crucial for accurate measurement. Data Quality = Result Quality: Garbage in, garbage out. The quality of your data directly impacts the quality of your insights. Focusing on data quality from the start is crucial for accurate and reliable measurement. We'll be diving deeper into this topic in an exclusive, community-only webinar on 14th of November! Sign up here 💫 Measurement is a Journey: Start with channel-specific performance, then explore cross-channel allocation and strategic planning using methods like data-driven attribution and MMM. The Power of Combined Measurement: Different measurement methods work best together, providing a more co
Hello , I was wondering if someone knows how can we compare data with last year same day comparaison instead of just last year ? (really needed for the retail sector) (e.g Monday 19 August 2024 vs Monday 21 August 2023 instead of the 19/08/24 vs 19/08/23 dafault comparaison window) If seen some stuff online but honestly it wasn’t work on my side ! Thanks for your help :D Paul T
Thanks everyone who joined the Supersummit last week and our talk on proving marketing effectiveness in the age of data fragmentation. Please find the slides below attached, as well as our top three tips:Don’t be afraid if you don’t have all the data. There are always ways around it to tell the story you want to tell, you just have to get creative and use proxy data sources Remember the big picture and balance this with the immediate need. Make sure everything tiers up to your bigger, broader business goals, whilst having short-term indicators of performance which let stakeholders know you’re on the right lines Make sure you have a central source of truth with a report or dashboard so it’s easy to see everything in one placeIf you have any questions (I know we didn’t get to any on the call), drop them below and we’ll be happy to respond with our POV. Do you have any thoughts on how we can measure marketing effectiveness with fragmented data sources? Would love to hear everyone’s experi
Hi fellow data crunchers,I believe we are not the only team that misses Universal Analytics, with its filter options and views that made reporting easier. A very common issue we are facing is that we work with a team that manages only a certain vertical of their organisation (certain countries, sub-domains etc.) and we want to pull data for only this vertical from GA4. The option we have right now is to add an extra dimension to the data transfers in Supermetrics then filter the relevant vertical in Big Query to show performance on only that.This makes the data crazy fragmented and in some cases cardinality issues could arise. Any of you have similar issues that a filter for transfers could solve?
We hope you had a chance to join us for the SuperSummit 2024 😍 Don't worry if you couldn't attend live — we saved all the sessions for you here. We’d also like to invite you to take part in our Community Challenge for a chance to win a fabulous gift box full of goodies How to take part in the Challenge?In the replies to this post, share your biggest takeaway from any of the SuperSummit 2024 sessions. Mention which session it was. Give likes for the takeaways shared by other Community members that you find insightful. The person who shares the most upvoted takeaway will be awarded a gift box worth $150. ⏳ This challenge ends on November 14, 2024. Good luck!
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