Ruler Analytics

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
https://www.ruleranalytics.com
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

  • Primary

    Floor 1 Tempest Building, 12 Tithebarn Street

    Liverpool, L2 2DT, GB

    Get directions

Employees at Ruler Analytics

Updates

  • Jump into the latest in marketing measurement 🔥 This week’s highlights: + Importance of measurement triangulation + ChatGPT’s search surge + Google Ads’ new AI reporting tool + Insightful contributions from Daniel Reilly, Alan Riddoch, and more 💡 As we wrap up the year, the newsletter will take a short festive break but will return in 2025 with fresh updates and insights. Subscribe now to get the newsletter delivered straight to your inbox 🚀

    The Marketing Measurement Round Up: Edition #43

    The Marketing Measurement Round Up: Edition #43

    Ruler Analytics on LinkedIn

  • Traditional analytics tools show you what happened in the past, but they generally don’t tell you what to do next. Plus, updating audience lists and optimising campaigns takes up time most marketers don’t have. With automatic activation through Ruler, you can link customer IDs with session data from their journey and sync it all with your ad platforms. With this data, you can: ✅ Target the right people at the right time. ✅ Exclude current customers from acquisition campaigns. ✅ Retarget prospects with relevant offers. ✅ Create custom and lookalike audiences that actually work. This puts your efficiency on autopilot, keeping your targeting and campaigns on track and your budget well spent. Liked this video? Share it with someone who may find it useful 💡 #GoogleAnalytics #GoogleAds #Meta #PPC

  • Why you can’t ignore offline conversion data in your ad platforms: 1️⃣ Ad platforms are great at tracking online conversions (like form fills), but the real magic often happens offline i.e. phone sales or in-person interactions. If that offline data isn’t synced with your ad platform, it’s working with an incomplete picture. 2️⃣ Some keywords might bring in a flood of leads, but not all leads are created equal. Without tracking qualified leads or actual sales, your ad platform might keep targeting people who aren’t likely to convert. 3️⃣ Adding offline conversion data lets you see which campaigns or keywords are bringing in high-value customers. It’s not just about leads—it’s about the right leads. The more data you feed the algorithm, the smarter it gets, giving you better optimisation, better reporting, and better results. Share this post with someone who needs to read this ♻️ #GoogleAds #Meta #PPC

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    If set up right, GA4 can help with: ✅ Tracking site interactions ✅ Checking traffic volumes ✅ Spotting trends But here's the catch—GA4 doesn't give you the full picture when it comes to: ❌ Media channel performance ❌ Ad impressions ❌ How ad spend impacts revenue That makes it tricky to rely on GA4 alone for solid reporting. What you really need is a tool that: 1. Integrates all crucial marketing and sales data, including total spend, revenue, and more. 2. Assists you in understanding the overall picture, such as: + What's working effectively? What's not? + Where should you allocate more resources or cease wasting money? If you're finding it hard to answer those questions (and trust us, you're not alone), it might be time to rethink your tools. Show your support by liking this post 👍 #GoogleAnalytics #GA4

  • The success of your ads depends on how solid your conversion data is for campaign optimisation. Here’s the thing—not all tracked conversions are equal. A form fill or a checkout might look like a win, but that’s just the start. A lot of these leads might not even make it past the initial qualification, let alone turn into actual sales. This can drag down your ad performance and lower your ROAS. And what about offline conversions? In-store purchases, phone sales, or leads from events? They’re often influenced by your ads but never show up in the reports. Without these offline signals, your ad platform’s algorithm is basically optimising on flawed and incomplete data—leaving you with less-than-optimal campaigns. Thankfully, there's an easy solution to close the gap (and it doesn’t involve manually uploading sheets.) ⬇️ #PPC #Meta #GoogleAds

  • Marketers are voicing a lot of frustration over GA4's data sampling. If you've ever worked with big data sets, you've probably encountered it. GA4 sometimes samples your data to speed things up—analysing just a slice of it instead of the whole thing. It's quicker, but it comes at a cost. Sampling can leave out important details that a full dataset would capture. To minimise sampling, you should: + Connect GA4 to BigQuery for unsampled raw data. + Shrink your date range to a more recent timeframe. + Keep segments and custom dimensions simple. While these tricks help, they don't fix the bigger issues like aggregated data missing first-party details like leads, revenue, or costs. For that, you've got to go even deeper by: 1️⃣ Logging every conversion individually—whether it's form submissions, online purchases, survey responses, or calls. 2️⃣ Pulling in ad costs and campaign data to align with user interactions on your site. 3️⃣ Bringing in CRM data (leads, opportunities, revenue, etc.) and connecting it to individual visitor journeys. This kind of centralisation ties everything together, showing how marketing feeds into revenue, giving you the full picture. If this added value, hit the like button 👍 #GoogleAnalytics #Analytics #GA4

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Funding

Ruler Analytics 2 total rounds

Last Round

Series unknown
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