Analytics & Testing
Analytics and testing are essential components of any successful digital marketing strategy. By leveraging tools and platforms that provide valuable insights into user behavior, businesses can make data-driven decisions to optimize their websites, campaigns, and overall customer experience. Key subtopics within analytics and testing include web analytics (GA4), A/B testing (A/B Testing), multivariate testing, conversion rate optimization (CRO), and user experience (UX) monitoring. Implementing a robust analytics and testing framework can help you identify areas for improvement, measure the impact of your marketing efforts, and ultimately drive better business results. Dive into the articles below to discover how analytics and testing can help you take your marketing to the next level.
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The Marketing Data Stack’s Real Bottleneck Isn’t the Tools
Every MarTech stack now has a warehouse. Snowflake, BigQuery, Databricks, pick one. The dashboards sit on top, the CDP feeds in from the side, and the RFP process that got budget approved probably took six months. None of that guarantees…
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Fraud Prevention in Digital Advertising: Spotting Suspicious Traffic
Every second, millions of ad impressions are served across the internet. Not all of them are legitimate. Some come from bots pretending to be real users. Others originate from compromised devices or networks designed to manipulate campaigns and drain advertising…
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7 Competitor Analysis Tools That Fit How The Market Split In 2026
In May 2007, Google folded news, images, video, and local into one universal search results page (SERP): ten blue links became a dozen surfaces overnight. The pattern rhymes in 2026, with one difference: the answer now gets assembled off your…
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Building a Modern Customer Education Technology Stack
Most software companies find their customer education problem the same way: support tickets pile up, and nearly all of them are questions the product should have answered on its own. The instinct is to hire two more support reps. But…
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Marketing Analytics for SaaS Startups: Building Sustainable Growth Through Data
Launching a SaaS startup has never been easier. Building a successful one has never been harder. Customer acquisition costs continue to rise, competition grows every day, and users expect seamless digital experiences. In this environment, intuition alone is no longer…
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Why B2B Software Companies Need an AI Visibility Strategy, Not Just an SEO One
For most B2B software companies, the search results page is still the finish line. Rank well, earn the click, convert the visitor. That model has worked for two decades. It is also starting to miss an entire category of discovery…
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Your Best Research Participants Owe You Nothing
Ask a marketing team where customer insight comes from, and you'll hear the usual inventory: surveys, session recordings, review mining, the quarterly NPS ritual. All useful. All sharing one structural blind spot — every method samples people already inside your…
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How the 40/40/20 Marketing Rule Has Evolved to the 50/20/20/10 Rule
You are not competing with one other envelope in a mailbox. You are competing with an endless stream of posts, ads, emails, search results, videos, podcasts, texts, retail media, and in-product prompts that never clock out. The person you want…
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Telegram Is Quietly Becoming a Martech Channel. Here’s the Stack You Need to Run It
For a decade, marketing technology (MarTech) stacks were built around three delivery channels: email, paid media, and the website. Messaging apps sat in the customer-support column, if they appeared at all. That map is out of date. Telegram now serves…
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Your Attribution Stack Cannot See AI Search. Here Is What to Instrument Instead
Marketing technology has a blind spot, and it is growing. Every mainstream attribution stack was designed around a click. A user encounters something, clicks, arrives with a referrer, and enters a measurable journey. Multi-touch models, UTM taxonomies, and last-click reporting…
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How to Launch a Retargeting Campaign on Shopify in Minutes
TL;DR: Recovering abandoned Shopify carts requires an automated dynamic retargeting strategy that turns lost traffic into paying customers. By using rtb.com, powered by RTB House’s Deep Learning (DL) algorithms, to automate tracking pixel deployment, product feed synchronization, and dynamic banner…
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Predictive Analytics in Marketing and the Figure That Moves First
Predictive analytics in marketing has an awkward habit. It builds forecasts on the most stable data available, and stability is the property that removes predictive value. Annual growth is the usual input. It is clean, comparable, and averages twelve months…
