Home » Don’t Contribute to the Ginormous B2B Website Discontent

Don’t Contribute to the Ginormous B2B Website Discontent

There’s a chance that your website could be contributing to the big, fat B2B website discontent out there. Don’t fret, there’s lots you can do to improve this. Some B2B companies don’t even know that their websites are not living up to maximum efficiency at snagging buyers. To have a truly well-performing website, you have to give your buyers exactly what they want. It’s that simple.

The big fat B2B website discontent can

 

be attributed to B2B companies not knowing precisely what their customers really want. This sets up an obvious conflict that reduces the user experience for customers.

According to a HubSpot study, 76% of customers simply want a website that makes it easy for them to find exactly what they want. Sounds simple enough, right? When it portugal whatsapp number data 5 million comes to execution though, this is extremely hard to pull off, which explains why so many websites out there are bad.

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So if more than three-quarters of all customers just want a smooth and pain-free user experience, then why do so many websites utterly fail to provide this? It’s simply because so many B2B companies fall short of getting inside the head of a B2B buyer and understanding his user experience.

Getting Inside the Head of Your B2B Buyer

 

The old saying goes something like this: this strategy and why does your company need to adopt it nderstand a man, you have to walk a mile in his shoes. The same principle applies to your canada cell numbers B2B buyer. If you want to understand what he wants from your B2B website, then you have to understand his B2B buyer experience. An absolutely insightful and sharp analysis of this comes from Kristin Zhivago’s article on the great B2B website disconnect.

In a nutshell, a B2B buyer has a problem for which he’s searching for a solution. He starts out by doing a Google search for either his problem or what he imagines his possible solution could be. He gets the first search page result in Google, and scans the first few results to see if any match his idea of a solution. His first search will probably be too broad, which explains the lack of relevant search results.

 

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