Deep-dives on brand growth, digital marketing, analytics, paid media, and everything in between.
Marketing Mix Modeling (MMM) is a causal inference model that helps businesses understand how their marketing investments, such as ads, promotions, or campaigns, drive business outcomes like sales, revenue, or leads. Unlike forecasting tools, MMM does not try to predict future sales or recommend budget splits for upcoming campaigns. Instead, it analyzes past data to reveal which channels or activities had the biggest impact on your KPIs and how effectively your budget was used. In simple terms, MMM explains what worked, what didn’t and where your marketing spend delivered the most value. By applying MMM, you can clearly identify the true drivers of performance and make more confident, evidence-based decisions about future budgets and have better budget allocation.
Ever had that “wait, what?!” moment when the numbers in GA4 don’t match the ones in BigQuery? Yeah, we’ve been there too. One of our clients faced this exact problem. GA4’s Explore report said one thing, but BigQuery, our trusted source of truth, told a completely different story. And sometimes, the difference wasn’t small. Here’s how we solved the mystery and what you can learn from it.
Google Tag Manager (GTM) plays a crucial role to track your user journey and build strong reporting without requiring website developers' efforts. In Part 1 of Google Tag Manager mistakes, we discussed Part a robust tool designed to manage tags and tracking codes across both websites and mobile applications. It serves as a centralized tag management system that enables the deployment of multiple tracking codes and facilitates data sharing with platforms like Google Analytics, Google Ads, SA360, Facebook/Meta, Snapchat, and many others.
In the fast-moving world of digital advertising, one-size-fits-all strategies just don’t cut it anymore. Whether you’re running YouTube ads, leveraging Display & Video 360 (DV360), or aiming for high-impact performance across Google’s network, continuous optimization is the name of the game. That’s where Demand Gen Experiments come in—a game-changing feature in Google Ads designed to help you test, learn, and grow. In this post, we’ll break down exactly what Demand Gen Experiments are, how to use them, and how they can supercharge your campaigns. No jargon, just clear steps and practical tips to help you level up.
Festive seasons whether it’s Diwali, Christmas, Black Friday, or New Year bring a surge in online shoppers ready to spend. In fact, research shows that holiday shopping contributes 30–40% of annual revenue for many e-commerce brands. But here’s the reality: only 2–3% of website or app visitors actually convert into paying customers on average. That means during peak festive traffic, 97 out of 100 visitors leave without buying anything.
Marketing data is messy; there's no polite way to put it. Whether you’re pulling reports from Google Ads, Facebook, CRM systems, or offline sales, the data usually comes with duplicates, missing values, inconsistent formats, or even outright errors. Before you can run attribution models, Marketing Mix Modelling (MMM), or customer segmentation, your data needs to be clean, structured, and reliable. Think of it as prepping ingredients before cooking. If the vegetables aren’t washed and chopped properly, the final dish won’t turn out right.
Ad blockers and privacy restrictions can cause you to lose valuable website data, but there's a smarter solution. Cloudflare’s new Google Tag Gateway feature helps you regain visibility by routing your Google Analytics and Ads tags through your own domain. This makes them look like trusted first-party requests, reducing the chances of being blocked by browsers. This means more accurate tracking, improved site speed, and stronger privacy compliance, all with a quick setup and at no cost.
Google continues to evolve search with AI, making it easier for users to ask, discover, and find exactly what they need. With AI Max for Search campaigns, advertisers can now leverage the latest AI-powered features to enhance performance while maintaining control. From tools like Google Lens, AI Overview, and AI Mode, Google AI is designed to understand user intent better. AI Max brings this power directly to Search campaigns, helping marketers unlock new opportunities with more relevance, better targeting, and higher efficiency.
Ever spent hours perfecting a dashboard on your big screen, only to open it on your phone and think, “What happened here?” We’ve all been there. For years, Looker Studio gave us a blank canvas and said, “Go wild.” And oh, we did. Overlapping visuals, pixel-perfect alignments, and branded masterpieces, we loved the creative freedom. But here’s the catch: what looks like art on a 15-inch monitor often turns into a puzzle of tiny, unreadable charts on smaller screens. To solve this, Looker Studio introduced two powerful layout modes: Freeform Layout and Responsive Layout. Both are excellent, but they shine in different scenarios. The real skill is knowing when to use which.
In today’s digital-first world, marketing is no longer just about creativity, it’s about precision, personalisation, and data-driven decision-making. Marketers use dozens of platforms, CRM systems, ad platforms, analytics tools, e-commerce stores, and email automation software to reach and engage with customers. But without a data pipeline to connect these tools, insights remain siloed and automation falls short.
With Google Analytics 4 (GA4) offering a more flexible and event-driven model than Universal Analytics, having a clear measurement plan is more essential than ever. A well-crafted GA4 measurement plan ensures you’re tracking the right data to support your business goals, without getting overwhelmed by noise or missing out on key insights.
Marketing Mix Modeling (MMM) is a powerful tool that helps marketers understand how different channels—like TV, digital, or print—contribute to business performance. At its core, MMM is about measuring the return on investment (ROI) from marketing activities and using those insights to make smarter budget decisions.
