Conjura

🚀 Exciting News Alert! 🚀 🔌 Our Amazon connector is officially LIVE! 🔌 Now you can connect your Amazon Seller Partner account to Conjura, giving you visibility of your Amazon, Shopify, and BigCommerce orders all in one place. Here's just 3 of the reasons why we’re super excited for this release: 📈 📊 Consolidated Reports: Say goodbye to siloed analytics and manual reporting! Conjura blends Amazon, Shopify, and BigCommerce data seamlessly in our intuitive dashboards. View all your sales data at once, or use our handy filters to hone in on one store or channel in particular. 🛍 👠 Product-Level Insights: We pull Amazon order data at a granular product level, just like we do with Shopify and BigCommerce. Understand which products are the winners and losers of your business with a holistic view across all of your sales channels. 🔄 ⏳ Historical View: Gain valuable historical insights with up to 3 years of Amazon order history imported right from the start. Track your growth trajectory and spot trends to make informed decisions for your business's future. What's on the horizon? 🌅 At Conjura, we're committed to enhancing your profitability journey. Our next mission? Integrating Amazon COGS, fees, and marketing spend to calculate your Amazon contribution profit accurately. Stay tuned for updates—we're just getting started! Let us know your thoughts on this new feature (plus try for free via the 🔗) in the comments 👇 #Amazon #Conjura #Ecommerce #Analytics #Profitability #DTC #ContributionMargin

🚀 Unlocking Granular Insights: How Conjura Calculates Ad Spend at a SKU Level Conjura is the only platform that is able to accurately track ad spend down to a product SKU and provide a real contribution margin. Curious about how we do it and why it’s a game changer? 🔍 How We Calculate Ad Spend: We track ad spend down to the SKU level via the ad's URL. Whether you’re advertising on Performance Max, Google Shopping, Facebook or TikTok, any campaign leading to a product landing page gets accurately tracked. We then add all the other costs (COGS, shipping, transaction fees, taxes etc.) to give you a comprehensive contribution margin by product. 💡 Benefits of SKU-Level Ad Spend Calculation: 1️⃣ Optimized Budget Allocation: Know where your ad spend is going (even for Performance Max campaigns) and allocate more budget to your most profitable products and campaigns. 2️⃣ Product Performance Insights: Unveil why certain product variations outsell others and address concerns about low sales. 3️⃣ Accurate Contribution Margin: Get a clear picture of profitability with precise ad spend data at the SKU level. 4️⃣ Identifying Underperforming Ads: Analyze where clicks aren't converting into orders, optimizing ad campaigns for better results. 💼 Cross Sell Conversions: Curious about the impact of ads on other product sales? Watch this space 👀 Ready to supercharge your marketing insights? Dive into SKU-level analytics with Conjura! #MarketingAnalytics #AdSpend #SKUInsights #ProductAnalytics

⏰Preserve Your Google Analytics Data with Conjura Before It's Too Late! ⏰ With the Google Analytics Universal Analytics (UA) phase-out scheduled for July, protecting your UA data is crucial. After July, accessing this data will no longer be possible. However, by syncing with Conjura, we'll store it for you in just a few simple clicks. This preserves your valuable data and enables easy comparisons between GA UA and GA4. 💡 Conjura’s Solution: We sync and save your last three years of GA UA data, alongside your new GA4 data, Shopify/BigCommerce and any ad platforms. This safeguards your old data and provides a single source of truth for your business. 🌟 Exclusive Retail Analytics Features: Comprehensive Metrics: Aggregate all essential metrics in one user-friendly dashboard for a full view of your e-commerce performance. Product Contribution Analysis: Deep dive into marketing spend by-product for clear visibility on its impact on your bottom line. Product Actions: Harness actionable insights to optimize your marketing spend and drive traffic effectively. 🔍 Discover the Conjura Difference: Try a free trial of Conjura’s Retail Analytics—no credit card required. See how our platform can transform your analytics approach and safeguard your GA data. Link in the comments. #GoogleAnalytics #Shopify #Ecommerce #DataAnalytics #DigitalMarketing #Conjura #Bigcommerce

Our team at Conjura are often asked about GA4 tracking so we did an analysis for our customers to guide them on what good looks like. Cookie consents and ad blockers are negatively affecting tracking but the top cohort of brands still track ~90% of all online orders in Google Analytics.

Today, Conjura proudly celebrates the influential women driving success across our diverse teams 💜 #IWD2024 #InspireInclusion Women in Data® WOMEN IN TECH®- Global Movement

🎥 CONTRIBUTION MARGIN EXPLAINED On the eComm Engine with Nathan Lomax and Quickfire Digital - Shopify Plus Agency, Fran Quilty explained in simple terms what Contribution Margin actually means and why eCommerce operators are focusing on it. Simply put, it's what you earn after deducting all costs - from product expenses to shipping and Ad Spend. This metric is a true measure of profitability for retailers, going beyond Revenue and Gross Profit. Understanding Contribution Margin at a SKU level is critical for eCommerce operators who are focused on sustainable growth and profitability in 2024. #ContributionMargin #Profitability #ecommercesuccess

BEST PRACTICES FOR MARKETING MIX MODELLING 📊 Our Head of Data Science Anthony Anderson is joining a panel hosted by our partner Alexey Loganchuk from Sidera Labs to discuss their processes, decisions, and techniques for building MMMs. 📅 : 29th of February 🕖 : 12PM ET (5PM GMT) 🔗 : https://lnkd.in/emHV3rk2 #marketing #marketingmixmodeling #ecommerce #retail

As privacy protection makes it more and more difficult to track site visitors, Media Mix Modeling is becoming increasingly important for tracking channel-level CACs. The problem is that effective MMM requires a level of expertise in Bayesian statistics which can easily take years to develop. Jim Gianoglio and Michael Kaminsky have been kind enough to agree to lead a discussion of best practices in MMM with three practitioners who have each created different models for a sample set of five DTC brands. Think of this as a quick, hands-on guide to not messing up when you are building your first MMM. If you'd like to join, the discussion will happen at noon ET on February 29th. You can sign up for it here. Special thanks to Conjura for contributing the data as well as to Ted Lorenzen, Carlos Eduardo Trujillo Agostini, and Anthony Anderson for agreeing to share their work.

"I was lucky enough to be at the Shopify EMEA kick off in Dublin 🇮🇪 and was blown away by the quality and depth of knowledge of the Shopify team!" Last week, our co-Founder Fran Quilty was invited to a panel discussion with the Shopify EMEA Merchant Success Team to discuss the top tech priorities for their clients in 2024. Fran was joined by other panellists in the Shopify Partner Ecosystem from Klarna (Colin Creagh), eDesk (Brendan Hughes) and what3words (Jennifer Christie). 📸 credit: Santina Farinella #shopify #multichannel #partnerships #ecommerce #retail

It's not often you get to see behind the scenes of a top company... Yesterday I was lucky enough to be at the Shopify EMEA kick off in Dublin and was blown away by the quality and depth of knowledge of the Shopify team. Many thanks to Santina Farinella for hosting and to my fellow technology partners Colin Creagh of Klarna, Brendan Hughes of eDesk, and Jennifer Christie of what3words for sharing their perspective of the Shopify partner network.