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Post by account_disabled on Feb 19, 2024 5:07:04 GMT
What Every Conversion Rate Optimization Strategy is Missing Wouldn’t it be great if we had some unified model to turn to, something that would tell us what consumers were thinking about during each stage of interaction with your site? It turns out, we’ve got one. The model comes from a peer-reviewed paper called Developing a New Model for Conversion Rate Optimization: A Case Study. It’s built on three case studies, a detailed analysis of the literature, and examination of one highly successful CRO agency. And it means that most of us are, at best, making decisions based on a half-finished Buy TG Database model. The Trouble with Conversions Let’s be honest: conversion rates on the web suck. Sure, over half of US consumers with net access are regularly shopping online. But most sites have conversion rates under 5 percent, and unoptimized sites are lucky to capture value from more than 2 or 3 percent of their visitors. Compare that with physical retailers, and it starts to look absolutely horrendous. There are several reasons for this: It costs no money and very . Compare that with the financial and temporal cost of driving and it’s easy to see why users are more willing to hit the back button than to walk out of the grocery store empty-handed. Most prefer to do their research online and then make the purchase in a physical store, so they don’t have to wait. The needs and behavior of online consumers are very different, and most online retailers know little or nothing about them.
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