Category: Marketing Analytics
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How to track social ROI using AI tools
Tracking social ROI using AI tools isn’t just about counting likes or shares. Truth is, those numbers can be misleading. What really matters is knowing which posts, campaigns, or platforms are actually driving leads, sales, or sign-ups. It’s messy; social journeys aren’t straight lines, but the right tools can pull it together. They show patterns,…
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How to Analyze Engagement Using Socialbakers
Analyzing engagement isn’t about staring at numbers and hoping patterns appear. It’s about understanding why people react the way they do. How to analyze engagement using Socialbakers comes down to using the platform to connect actions: likes, comments, shares, clicks, to reach, audience size, and timing. This guide walks through how Socialbakers helps break that…
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How to create prompts for Google Search Console insights
How to create prompts for Google Search Console insights starts with learning how to ask better questions of your own data. This guide breaks down how Search Console Insights surfaces performance patterns and how clear, focused prompts help turn those patterns into useful direction. Instead of skimming numbers, the process centers on understanding queries, pages,…
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How to Analyze Campaign ROI Using Tableau
Looking at campaign numbers without some kind of visual frame… It’s messy. How to Analyze Campaign ROI Using Tableau isn’t about fancy charts; it’s about making sense of all that spend, clicks, and conversions. Pull together data from Ads, emails, and CRM; clean it up, and figure out your ROI, ROAS, CAC, and LTV. Then…
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AI Marketing Analytics: How to Use AI for Smarter Marketing Insights & Better ROI
Quick-summary AI marketing analytics uses machine learning, natural language processing, and predictive modelling to analyse marketing data at scale. It enables customer segmentation, campaign optimisation, real-time insights, and better ROI. In this guide, you’ll learn what it is, why it matters, how to implement it, top tools, and key metrics to track. Introduction Marketing isn’t…
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Predictive Analytics in Marketing: A Complete Guide 2025
Quick Overview: Predictive analytics in marketing uses historical customer and campaign data to forecast behavior, optimize spend, reduce churn, and personalize outreach, delivering smarter and more cost‑effective campaigns. What is Predictive Analytics in Marketing? Predictive analytics is about using past data to make smart guesses about the future. In marketing, this means looking at customer…
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First-Party Data Strategy: How to Build Trust & Drive Growth in 2025
First-party data is the information your brand collects directly from your audience, whether it’s through your website, mobile app, email list, or even in-store at the checkout counter. It’s the kind of data you don’t buy or borrow from someone else. You own it. It’s coming straight from the source. And right now, this kind…
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Top Marketing Analytics Trends to Watch in 2025
Let’s start with a quick story. Back in the early 2000s, marketing was basically guesswork. You’d run a radio ad, maybe stick a big billboard on a busy street, and hope for the best. If sales picked up, awesome. If they didn’t… you just shrugged and moved on. Fast forward to now, and honestly, that…
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Data-Driven Marketing Strategies: Grow Smarter with Big Data
Marketing isn’t what it used to be. If I think back to how things worked 10 or 15 years ago, it was mostly gut instinct. You’d come up with a clever idea, design a nice poster, maybe put out an ad in the newspaper or run something on radio or TV. And that worked. For…
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Bounce Rate in Google Analytics: What It Is & How to Improve It
You’ve probably stared at that “Bounce Rate” metric on your Google Analytics dashboard at least once, wondering, “What does this number actually mean?” Is it good? Is it bad? Does it affect your SEO? More importantly, is there anything you can do about it? Understanding the bounce rate in Google Analytics isn’t just about deciphering…