Are GA4 and Meta telling you completely different things? There are a few reasons for the mismatch—from inconsistent tracking, to how platforms measure and attribute conversions and revenue differently. We go into the details below 👇 #Meta #GoogleAnalytics
Ruler Analytics
Technology, Information and Internet
Data Driven Marketing Attribution & Marketing Mix Modelling Software for Data Science and Marketing teams.
About us
Ruler Analytics is a marketing attribution and measurement platform that combines multi-touch attribution, marketing mix modelling and user journey reporting, to give marketers qualitative and quantitative insights into where, how and why customers buy from them. Overcome measurement challenges caused by the deprecation of 3rd party cookies, siloed web, marketing and sales data and first/last click reporting, by: ➡️ Gathering 1st party data to track digital user touch points without getting blocked ➡️ Connecting web, marketing & sales data to a single measurement platform ➡️ Leveraging econometrics and self reported attribution to fill in the gaps & add context
- Website
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https://www.ruleranalytics.com
External link for Ruler Analytics
- Industry
- Technology, Information and Internet
- Company size
- 11-50 employees
- Headquarters
- Liverpool
- Type
- Privately Held
- Founded
- 2016
- Specialties
- Marketing Analytics, Call Tracking, Return On Investment (ROI), Increasing Conversion Rates, Marketing Attribution, Attribution, and marketing mix modelling
Products
Locations
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Primary
Floor 1 Tempest Building, 12 Tithebarn Street
Liverpool, L2 2DT, GB
Employees at Ruler Analytics
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Richard Gregory 🤔
Founder at AgencyNXD. NED & Advisor to multiple ambitious tech companies and agencies.
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Ian Leadbetter
Director at Ruler Analytics | Close the loop between marketing and revenue
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Daniel Reilly
Ruler Analytics - Marketing Mix Modelling & Marketing Attribution Software
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Jonathan Walton
Experienced data and insight analyst, data scientist, and team leader across multiple industry verticals.
Updates
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Many marketers have treated ROAS from platforms as a primary success indicator. But here’s why that’s an issue: 1. Platforms like Meta often show more generous attribution, especially with their 1-day view 2. Meta also relies heavily on statistical modelling, which can be pretty inaccurate if you’re running a low-volume account 3. Brand campaigns and retargeting muddy the waters 4. Not all attribution models are created equal 5. Tracking just isn’t as accurate since iOS 14.5 We know that customers move through different channels before making a purchase. Trying to perfectly credit each platform is pretty unrealistic. What you should do instead: Set up analytics to track and combine data from all channels. Understand your customer’s journey and how each channel plays its part. Look for trends and patterns to see what’s working and what’s not. Traditional ROAS can still be helpful as a general guide for budget planning. But by taking a broader view, you’ll get deeper insights into the entire funnel, from the top to the bottom. Share this post with someone who needs it ♻️ #PPC #Meta #Google
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Meta might report a solid return on ad spend, but that doesn't always match up with the actual revenue. People are bouncing all over. One minute they're scrolling on TikTok, then they’re searching Google, and soon after, clicking on Meta ads. Then there's remarketing and brand campaigns, which can blur things even more by claiming credit when they’re not the main driver. It raises the question: Wouldn't it make more sense to see how all your channels and campaigns are working together, instead of judging each platform on its own? Especially when sales get counted multiple times across different channels. We break it all down in this video. 👇 #Meta #Google
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Most marketers feel good about their upper-funnel efforts. But proving they’re actually working? That’s a whole different story. Here’s how you can make that impact easier to see 👇 #Analytics #DigitalMarketing
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Direct traffic in GA4 is misleading. It's often defined as: “Direct traffic occurs when a visitor arrives directly on a website without clicking on an ad or a link from another site.” Truth is, a lot of Direct traffic isn't really direct at all. It actually results from: unknown traffic sources bot traffic missing UTMs tracking issues links in PDFs adblockers Also, users don’t just search for your brand out of nowhere. Many of them have interacted with you before through upper funnel efforts. They are returning to continue their journey via: autofill bookmarks manual address entry Acknowledging this encourages you to scrutinise your tracking processes and implement changes to uncover influences in the upper funnel Give this post a👍if you agree or leave a comment to share your thoughts 💭 #GoogleAnalytics #GA4
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Catch up with the freshest updates in marketing measurement 🚀 This week: Instagram ROI tips New TikTok features BigQuery updates Auto adjustments in Meta Be part of a community of marketers who are staying ahead with the latest insights and trends 📩
The Marketing Measurement Round Up: Edition #36
Ruler Analytics on LinkedIn
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Many are questioning the accuracy and source of their direct traffic data: - Is the data reliable? - Why is the volume so high? - Where is this data coming from? - How can I communicate it to stakeholders? So, we thought we’d set the record straight. Think this post could help someone you know? Share it with your network 🤝 P.S. Head over to the website for the full guide: https://bit.ly/3Z3spKy #GoogleAnalytics4 #GA4 #DigtalMarketing
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Do your brand and direct searches get too much credit for conversions? You’re not alone. Most tracking tools (like GA4) focus on click-based tracking, which mostly highlights what happens at the BOF. But those brand and direct searches? They don’t happen out of nowhere. Typically, they’re sparked by your upper-funnel campaigns that build awareness and interest. If you cut back on those TOF campaigns and focus on only brand, eventually, your leads will dry up. You could keep running those awareness campaigns without measuring their true impact—but that just leads to wasted budget and a lot of tough questions. To avoid that, you need better tracking across your whole marketing mix. When you have that visibility, you can: invest smarter optimise across all channels know what's driving results We break it all down in the video below 👇 #googleanalytics #meta
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Dive into the latest marketing measurement updates and insights 👇
The Marketing Measurement Round Up: Edition #35
Ruler Analytics on LinkedIn