Timely suggestions on how to reduce costs and increase revenue

First time ever, Ecomfit gives you smart suggestions based on the collected data that are customized for your store. There is no hussle of interpreting and analyzing the reports data to make decisions as you would usually do with Google Analytics. Save your time by letting us do the difficult work for you.

Suggestions on traffic source

Suggestions on traffic source

Suggestions on traffic source based on 3 factors:

  • Best conversion rate
  • Highest revenue
  • Most total orders

Knowing what works and what doesn't help you focus on the most effective traffic channels so that to use funds sparringly and in result save unnecessary advertising costs.

Suggestions on traffic source
Suggestions on the product

Suggestions on the product

Suggestions based on 3 criteria:

  • Product with highest conversion rate
  • Most bought product
  • Highest revenue product
  • Most viewed product

Knowing these you can scale your marketing campaigns to capture the most return on your investment

Suggestions on device interactions

Suggestions on device interactions

Suggestions on the best interactive time on PC & mobile

  • Most interactive days on PC & Mobile in a week
  • Most interactive hours on PC & Mobile of a day in a week

Distribute your advertising displays wisely and improve the mobile responsiveness of your store to help customers buy products any where & any time

Suggestions on device interactions
Suggestions on best conversion based on page views

Suggestions on best conversion based on page views

System detects the best conversion occuring when user had viewed a page in a certain a session. This helps you make proper decisions and tweaks when customer is about to leave the page. For instance, you can offer customers a promotional code or free shipping after they have stayed on the product page for a while.

Suggestions on visits prior to purchase

Suggestions on visits prior to purchase

Ecomfit records prior to purchase number of visits to your store of your customer that helps you to know in advance which visit is likely to generate sales. Based on this information you can run effective remarketing campaigns, let's say it takes 4 store visits before the customer makes a purchase so you can extend the remarketing campaign accordingly to fit the time of those 4 visits. Consequently, save advertising costs.

Suggestions on visits prior to purchase
Suggestions on time to purchase activities

Suggestions on time to purchase activities

Suggestions on the number of days it takes customers to make a first purchase since their first visit in accordance with information of number of visits prior the purchase help you do the remarketing campaigns accordingly to that period of time.

Suggestions on keyword search

Suggestions on keyword search

Suggestions on keywords that users search the most and keywords that users are not satisfied with indicate the need for store & product description, content improvements as well as the price revision compared with your competitors'.

Suggestions on keyword search
Suggestion on the pages with most exits

Suggestion on the pages with most exits

Display of pages which users exit the most means those have certain problems that need to be solved 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.

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