In-house SEOs and consultants alike are routinely challenged to find new opportunities to expand organic traffic. But the classic approach of researching new keywords then writing articles for those that match your domain strength doesn’t work for all sites.
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Kaggle, the Google-acquired data science platform, started as a virtual meeting point for machine-learning geeks to compete on predictive accuracy scores.
It evolved into a Swiss Army knife for data science and analytics—one that can help data professionals, including data-driven marketers, elevate their analytics game.
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Why create a custom attribution tool? Because with out-of-the-box tools, you’re limited by their functionality, data transformations, models, and heuristics.
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Time flies when you’re having fun. We published almost 90 posts this year. Here are the articles that captured more eyeballs than any others.
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This is the fourth edition of our State of Conversion Optimization report. The upward and downward trend data is increasingly interesting.
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The carefully evasive proposal included intriguing tidbits: Jeff Bezos laughed when Mr. Kamen assembled an It for him [. . .] The proposal also included proclamations from tech-world celebrities like Steve Jobs, Apple’s founder, that the device might change urban life and could be as significant as the development of the personal computer.
The New York Times, January 2001
Dean Kamen’s code name for the project was “Ginger.” That was all most people knew. But few could wait to learn more. Deprived of source material, journalists wrote articles about articles. Finally, in December 2001, came the big reveal: Ginger was the Segway.
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Cart abandonment is a huge issue in ecommerce. So cart abandonment emails are often a top revenue generator. And discounts and offers within those emails are proven tactics for increasing conversions.
All standard wisdom. But we wanted to see how ecommerce brands deployed their offers. Are “best practices” for offers prevailing? Which strategies are brands using—or neglecting?
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How do you compete with one of the biggest names in your industry—and with a brand new product?
Three years ago, we launched Chanty, a SaaS application for team chat. This was nothing new. Thousands of apps are born and die each year. There was one difference—we were going against Slack, the giant that is the SaaS role model. Call it bold or stupid, but we had our work cut out for us.
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I asked more than a dozen successful agency CEOs to share how they’ve navigated critical moments—getting started, landing (and keeping) clients, scaling teams, and marketing their agency.
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Eric Ries once described the minimum viable product (MVP) as a version of a new product that allows a team to collect the maximum amount of validated learning about customers with the least effort:
Instead of spending years perfecting our technology, we build a minimum viable product, an early product that is terrible, full of bugs, and crash-your-computer-yes-really stability problems. Then we ship it to customers way before it’s ready. And we charge money for it.
The reasoning behind releasing an MVP is simple: The longer companies wait to release it—and the more money they spend building it—the riskier their product becomes.
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