Beeketing Blog

Empower Online Stores Worldwide With Unlocked Marketing Automation

How to sell online definitive guide

Guess how big the eCommerce market is? A trillion market which was $1,6T in 2015 and is projected to reach $2,5T in 2018. However, not everyone masters the art of selling online. The world now has 12 million eCommerce stores, but only 650,000 eCommerce sites can sell more than $1,000…

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best products to sell online

Roughly around 250,000 products are launched per year globally, with an average of 85-95% failure rate. So, if you are planning to start an online business, this is not to dishearten you. Take this article as your learning guide to an exciting, and yes, also a challenging task of choosing…

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how to create an online store

Now that you are fully aware of how to find the best products to sell online, by evaluating different factors such as product uniqueness, market opportunities, competition level, and finally decide what you should sell online, you are ready to the next step: create an online store. More and more…

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how to increase online sales

Struggling with low sales even though you’ve already got a pretty nice traffic flow? There are 2 possible reasons: your traffic is not qualified (people coming to your website do not really want to buy your products), and your user experience flow does not convert potential customers into actually buying….

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customer loyalty in eCommerce

Did you know that it is 5 times more costly to attract new customers than to retain existing ones? It makes sense, given the overwhelming time and resources to go out and find new customers, you just have to keep the existing ones happy. And, keeping them happy doesn’t lessen…

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how to increase sales with product recommendation

Product recommendation is an old age marketing companion that has proven to uplift conversion rates by up to 915%. However, more sophisticated marketers and sellers all over the world have not stopped by just recommending products. Today, online retailers have adopted to recommend products into more personal data-driven recommendations to…

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