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Dennis van der Heijden — July 24, 2019 — July 24, 2019 How do CRO professionals run experiments in 2019? We analyzed 28,304 experiments, picked randomly from our Convert.com customers. This post shares some of our top observations and a few takeaways about: When CROs choose to stop tests; Which types of experiments are most … Continue reading 5 Things We Learned from Analyzing 28,304 Experiments
Ritu Sharma — January 16, 2019 Follow @realritusharma — January 16, 2019 Analyzing your competitors pay per click strategies is just as important as an athlete constantly looking over his shoulders in a race. You probably have seen athletes in a 100 Meter dash constantly looking over their shoulders. Do you know how important that … Continue reading Key Things Worth Analyzing in Your Competitor’s PPC Strategies
Google Optimizing Featured Snippets? Analyzing Knowledge Graph Rates by Laurie Sullivan , Staff Writer @lauriesullivan, June 26, 2018 The rate at which Google featured snippets and Knowledge Graph results are served up in search query results continues to change. While change makes it even more difficult for marketers and publishers to keep up, it’s necessary to … Continue reading Google Optimizing Featured Snippets? Analyzing Knowledge Graph Rates
Robin Singh — May 28, 2018 — May 28, 2018 Did you notice the buzz about Avengers: Infinity War on various social media platforms? When the trailer for it first came out, it was all people would talk about and how they cannot wait to see Thanos in his full grandeur. Even the superheroes refused … Continue reading 5 KPIs for Analyzing the Success of Social Media Customer Service
Annaliese Henwood — December 3, 2017 Follow @MktgInnovator — December 3, 2017 There’s been this debate going around about whether long form blog posts are necessary for your content’s success. Both sides have valid points, so how do you choose? Some say you need to create long form articles to see your content rank higher … Continue reading Should You Write Long Form Blog Posts? Analyzing the Debate
Garry Grant — November 20, 2017 Follow @seoinc — November 20, 2017 In the early days of the web, ranking in Google was easy – you just threw keywords in the meta description, and you ranked for those keywords, regardless of whether or not your website was relevant to them. Nowadays, ranking well in the … Continue reading A Step-by-Step Guide to Analyzing the Competition’s SEO Efforts
David Kiger — November 17, 2017 Follow @davidkiger — November 17, 2017 When a dream of owning a small business comes into view, the little details likely play a small role, if any. But as a plan comes together, those little details can become big issues. Overhead costs — those fixed expenses that make the … Continue reading Analyzing Overhead Costs is Vital in a Business’ Early Stages
Claudiu Murariu — October 9, 2017 — October 9, 2017 antonynjoro / Pixabay Here are 4 facts on email marketing. The vast majority of online sales companies still use transactional emails as part of their marketing efforts. Email marketing campaigns have open rates of up to 40-50% and click rates of around 10-20%. Email marketing … Continue reading Looking for a More Reliable Way of Analyzing Your Email Campaigns?
Responsive design sites utilize the same HTML for users, regardless of device — but that doesn’t mean that all users are getting the same experience. Columnist Abraham Nord shares a case study in which segmenting results by device type provided insights that led to a significant conversion boost. Abraham Nord on September 8, 2017 … Continue reading Achieve big testing wins by analyzing results by device type
Columnist Glenn Gabe shares various ways of filtering crawl data to obtain actionable insights. Glenn Gabe on May 5, 2017 While helping clients deal with major algorithm updates, troubleshoot technical SEO problems and more, I’m often auditing large-scale sites. That almost always requires a thorough site crawl (typically several crawls over the life of an engagement). … Continue reading Don’t underestimate the power of advanced filtering when analyzing crawl data
