#experimentengine

When a visitor first lands on your page, they’re already providing insightful data about themselves. Consider factors like user identity, behavior, time of visit, referral source, location, device platform and more to personalize their experience to be more relevant.

The customer journey seems long and complicated. So when a visitor arrives at your shopping cart, it’s important to encourage purchase completion. But there’s a problem – shopping cart abandonment rate is 67%. More than half of your users are likely to leave. Ecommerce companies are missing opportunities to increase sales because they’re not optimizing this crucial step in the sales flow.

Discover how to prevent shopping cart abandonment and generate more eCommerce revenue by constantly testing your checkout pages.

7 Sure-Fire Tactics to Optimize Your Landing Page Like a CRO Expert via +Ray C. Loyd & +Experiment Engine • Segment Your Value Propositions • Replace Rotating Image Carousels • Use More White Space & Fewer Links • Test Usability Before Launch • Use Directional Cues and • Simple Visuals Align Elements & Content with Goal • Test Privacy Policies on Forms

6 Ways To Increase Conversions With Urgency

Published by @luizcent

Always be testing. That’s the mantra of the sophisticated online marketer, product manager, or startup CEO. I believe it, Google believes it, and I bet you believe it, too. The problem is, truly continuous A/B testing at the level that helps you out-perform your competitors is really hard to do: it not only takes tools, but also expertise, resources, time and attention—precious resources to any marketer.

This is the problem my co-founder EJ and I set out to solve: how to help companies test more frequently and effectively with limited internal bandwidth. We knew from our experience that even the most sophisticated companies with advanced testing cultures were never quite testing enough.  A/B testing tools are ubiquitous and easy to install, but designers are scarce and fresh ideas even more so. That’s why we built Experiment Engine, our all-in-one solution for conversion optimization. By pairing our A/B testing technology with a marketplace of specialized conversion rate experts, we provide businesses a way to maximize their conversion rates even without a dedicated optimization team. Even better, we’ve started connecting a network of the best conversion rate experts in the world–the geniuses that have run tests for places like Adobe and Amazon–and are creating a brand-new way for them to work when they want, where they want, and prove their skills against their peers.

We spent the last 9 months building our platform, working with our awesome customers, and proving that increasing test frequency and using external expertise for A/B testing drives meaningful results. We’re so excited to see that not only are we helping companies get our 3X as many tests per month, but every single one of our customers have had meaningful conversion rate improvements by testing with the Experiment Engine platform and continue to get those improvements month over month.

That is why I’m so pleased to announce that Experiment Engine has completed our seed financing, which we’ll use to grow our team, advance our platform, and help companies test better. We’re honored to have the support of Founder Collective, Mercury Fund, and the Austin community (hey y’all) in this round, adding to early support from Techstars. We’ve got great investors who really understand our vision, and we’re so excited to have them as part of the Experiment Engine journey.

If you’re excited as we are to make “Always Be Testing” a reality (or just really, really want one of our awesome ‘Come and Test It’ t-shirts)–reach out. We’d love to have you join our team, become one of our conversion experts, or just nerd out over multi-arm bandit tests.

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Use quantitative and qualitative data to guide tests

Find out what visitors are searching for within your site

Run an A/A test before your A/B test

Don’t forget existence testing

Collect enough samples for statistical significance

Run a test for its entire needed duration

Filter out certain outside influences

Use the proper tool and platform

Continuously run tests to truly optimize

Hypothesis: Gender segmentation on the homepage will increase purchase completions Original: Page features an image of only a woman with focus on the product New version: Page features images segmented by gender

Result: The A/B test failed and overall purchase completions dropped