What is Suggestion?

Ecomfit Suggestion is a smart algorithm giving suggestion based on the collected data that are customized for your store. Suggestion saves you time and money on interpreting, analyzing reports to make decisions, as you would usually do with Google Analytics.

Currently, our Suggestion focuses on 8 important data metric (Traffic Source, Product, Engaged by Device, View to Buy, Visit to Buy, Date to Buy, Search Keywords, Most Exit Pages) to predict future action for you. Here are the reasons why and how Suggestion feature works.

Based on Traffic Source

In the world of web analytics, all traffics can be divided into 4 categories. They are: 

  • Search traffic: Traffic that comes directly from search engines like Google, Bing, and Yahoo. 
  • Referral traffic: Traffic that comes directly from a link on a different website. 
  • Campaign traffic: Traffic that has been tagged by the marketer. 
  • Direct traffic: Traffic that doesn’t have a known source.

If you are using Google Analytics, you might be familiar with these 4 categories already. But Ecomfit doesn't stop there. We take one step further by making urgent suggestions. By doing so, you can act immediately without hesitation. 

With Traffic Suggestions, we divide it into 5 indicators:

  • Traffic: Different kinds of sources that send traffic to your online store.

  • Visitors: Total number of unique visitors who visit your website each month via a certain traffic source. In Google Analytics term, those are unique users.

  • Order: A total number of items/services that people buy from your online store via one traffic source.

  • Revenue: Your NET sales (gross sales minus discount and return) plus taxes, shipping and other fees via one traffic source.

  • Conversion rate: The percentage of unique visitors that resulted in orders (Buyers/Total visitor*100%) via one traffic source.

traffic suggestion

With proper help from our Suggestion, you will know what works and what doesn't. Therefore, you can focus on the most effective traffic channels, allocate resources reasonabnly, and save money on unnecessary advertisement.

Based on Product

Product performance provides valuable insights into how customers are interacting with your products. 

Built with detailed metrics and segmentation capabilities, they can transform the way you measure product performances and make decisions across every aspect of your business.

With Ecomfit Product suggestion, you can easily understand these metrics and how to utilize them. Raising your conversion rate and optimizing marketing budget would be easy now. 

Products are divided into 5 indicators:

  • Product: Name of the products listed on your store

  • Visitor: Number of unique visitors who view each products (In Google Analytics terms, they are unique users)

  • Order: Number of orders placed for each products.

  • Revenue: Your NET sales (gross sales minus discount and return) plus taxes, shipping and other fees, for that product.

  • %Total revenue: The percentage of revenue that product contributes to total revenue.

  • Conversion rate: The percentage of unique visitor that resulted in orders (Buyers/Total visitor*100%) for one product.

Understanding your product so you can scale your marketing campaigns to capture the most return on your investment.

Based on Device Interaction

Enaged by Device give you hints on where to distribute your advertisement and how to improve mobile device responsiveness. These device suggestions not only optimize conversion rate but also provide your customers seamless experiences.

Based on Page View

View to buy records total number of page views it takes before customer make payment. 

Specifically, it indicates how many time of page view needed to result in how many percentage of conversion.

This helps you make proper decisions and tweaks when customers are about to leave the page. 

For instance, you may consider offering a promotional code or free shipping after they stay on the product page for long enough.

Based on Visit Prior to Purchase

Visit to buy records total number of website visits needed before customer actually make payment. 

Based on this information you can run effective re-marketing campaigns. 

Let's say it takes 4 store visits before a customer makes a purchase. So you can extend the re-marketing campaign according to target those who already visit your website 4 times. Since re-marketing costs quite a lot, you may want to aim your target precisely.

Based on Time to Purchase Activities

Date to buy suggests how long it takes (counted by days) for customers to make their first purchase, since their first visit. 

These suggestions will make fine ground to setup your remarketing campaigns. 

Based on Keywords Search

Suggestions on keywords which users searched the most or they are not satisfied with indicate the need for store and product description, content improvements as well as the price revision compared with your competitors.

Based on Pages with Most Exits

Display of pages which users exit the most means those have certain problems that need to be solved in order to increase visitor time on site. Or simply, your check out page confuses customers in terms of payment choice and procedure; hence you need to simplify the process so that to improve user experience.

Here are all about Suggestion Function of Ecomfit. 

Feel free to contact us via emailhelp@ecomfit.com

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