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SMX Advanced Day 1 – Google + Bing Keynotes, Conversion Optimization, Audience Targeting and Social + PPC

QuanticMind

The panel’s discussion turned toward scientific testing across large sample sizes for Google Shopping campaigns, testing thousands of products and queries over controlled time periods. These campaigns tend to show higher CTR and average CVR. higher ROAS than desktop. . . Featuring: @Jeremy3Q_CRO , @khalidh .

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SMX East 2017 Day 1 – Online-to-Offline, Shopping, Display

QuanticMind

A recent case study showed one merchant recorded +71% clickthrough rate (CTR), +76% conversion rate (CVR) and +22% return on ad spend (ROAS). Last year, the Carousel extension went through a limited holiday beta, and participating merchants saw a 10-13% CTR lift with no observed cost-per-click (CPC) increase.

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9 Successful Digital Marketing Case Studies That Boosted Growth

Single Grain

By optimizing Gump’s product listings for home decor categories, we improved their ROAS by 104% – nearly double the amount of spend. After seeing sales drop, they needed an effective revenue growth digital marketing solution that also improved their ROAS. Strategy Hestan Culinary needed to drive sales growth while improving its ROAS.

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The Entrepreneurs’ Guide to A/B Testing on Shopify Stores (+ 9 Shopify Entrepreneurs Share Their A/B Testing Stories With Results)

Convert

But with review mining, especially on Amazon, people tend to share their insights. And when you look at e-Commerce giants like Amazon, eBay, or Etsy, you’ll notice they have A/B testing baked into their DNA. Sample and Population. Stopping a test should be based on sample size. It’s the very reason they thrive.

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The Entrepreneurs’ Guide to A/B Testing on Shopify Stores (+ 9 Shopify Entrepreneurs Share Their A/B Testing Stories With Results)

Convert

But with review mining, especially on Amazon, people tend to share their insights. And when you look at e-Commerce giants like Amazon, eBay, or Etsy, you’ll notice they have A/B testing baked into their DNA. Sample and Population. Stopping a test should be based on sample size. It’s the very reason they thrive.