How to get customers forPersonalized E-commerce Recommendation Engine

Where to find e-commerce retailers in order to convert them to customers

The idea that helps E-commerce retailers

E-commerce retailers want to increase customer conversion rates. However, they can't get it because they find it challenging to personalize the online shopping experience.

Therefore, they need to use your solution, e.g. ShopSmart.

Personalized E-commerce Recommendation Engine : ShopSmart is an innovative recommendation engine that leverages machine learning algorithms to personalize the online shopping experience for each customer. By analyzing user behavior and preferences, it suggests relevant products, ultimately increasing customer conversion rates. Of course it is much better than the stuff from Amazon Personalize, SAP Hybris, or Dynamic Yield!

How to find E-commerce retailers

You can get insights about the pain points of e-commerce retailers if you listen to them carefully, either in person or online. Listening online is much easier because you need not ask them for a customer interview but you can observe them talking about their problems, out there in their natural habitat. They won’t even notice that you are there, watching and listening to them.

The process, step by step

One process that we can totally recommend is this:

  • Find out where e-commerce retailers hang out (Reddit, Mastodon, etc.)
  • Read what problems they talk about, and how urgent they are to them. (Did they try any solutions, yet? Did they spend money on anything, yet? Did they even cobble a homegrown solution together?)
  • Enter the conversation: Help them with tips, ask more about their situation and why they are in pain.
  • If you find recurring questions or pet peeves of e-commerce retailers, create some helpful content for them (e.g. a blog post, a podcast episode, or a video) and share it with them for free, in the same conversations. They will be delighted.
  • At the end of the blog post, invite them to use your solution: Personalized E-commerce Recommendation Engine.

I described the process here in my blog post: Identify a hungry audience.

If you do this manually, it may take you hours each day. Automate it, with a little help from the AI in CustomerPing!

Step 1 to find e-commerce retailers

To get started, edit the values in the following 3 input fields and click “Search e-commerce retailers”.

This is what will happen

  • An AI will brainstorm 5 good search keyword phrases for you to find e-commerce retailers and their pain points in online forums on the internet.
  • With one click, you can search for each keyword phrase right away.
  • CustomerPing will present the search results to you.
  • If you think that one of those results looks like e-commerce retailers wrote it, you can create a “customer radar station” on the forum where the post came from.
  • You describe what makes a post relevant to your business.
  • CustomerPing will “ping” you 24h a day, whenever e-commerce retailers complain about their pet peeve: They find it challenging to personalize the online shopping experience.
  • Good for you because this is something that you can solve with personalized E-commerce Recommendation Engine, right?

What to do when you get a “customer ping”

When such an alert appears on your mobile phone, you simply tap on it and join the conversation in the online forum.

Help e-commerce retailers to reach their goal: To increase customer conversion rates.

They will get to know, like and trust you. Eventually, they will buy your solution: Personalized E-commerce Recommendation Engine.


TechnologyE-commercePersonalized E-commerce Recommendation Engine

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