What is Suggestion?
Ecomfit Suggestion is a smart algorithm giving suggestion based on the collected data that are customized for your store. Saving you time and money on interpreting and analyzing the reports data to make decisions as you would usually do with Google Analytics.
Currently, our Suggestion Feature are using 8 important data tracking (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 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. These are: search, referral, campaign, and direct. Search traffic is traffic that comes directly from search engines like Google, Bing, and Yahoo. Referral traffic is traffic that comes directly from a link on a different website. Campaign traffic is traffic that has been tagged by the marketer. Direct traffic is traffic that doesn’t have a known source.
If you are using Google Analytics, these 4 categories will become more familiar. But with Ecomfit, we will make urgent suggestions so you can act immediately without a doubt. With this metric we divided into 5 indicators:
Traffic source: provides the different kinds of sources that send traffic to your online store.
Total visitors: A total number of unique people who visit your website each month via one traffic source. In Google Analytics terminology, those are monthly unique users.
Total sales: 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 visitor that resulted in orders (Buyers/Total visitor*100%) via one traffic source.
With proper help from our suggestion, you will know what works and what doesn't help you focus on the most effective traffic channels so that to use funds sparingly and in result save unnecessary advertising costs.
Based on Product
Product Performance provides valuable insight into how customers are interacting with your products. With detailed metrics and segmentation capabilities, it can transform the way you measure product performance and make decisions across every aspect of your business.
With Ecomfit, you can easily understanding of these metrics and how to utilize them, you can raise your conversion rate and optimize marketing spend. With this metrics we divided into 5 indicators:
Product: Name of the product on your store
Total visitor: A total number of unique people who visit your website each month via one product. In Google Analytics terminology, those are monthly unique users.
Total sale: A total number of items/services that people buy from your online store via one product.
Revenue: Your NET sales (gross sales minus discount and return) plus taxes, shipping and other fees via one product.
Conversion rate: The percentage of unique visitor that resulted in orders (Buyers/Total visitor*100%) via one product.
Understanding your product so you can scale your marketing campaigns to capture the most return on your investment.
Based on Device Interaction
Distribute your advertising displays wisely and improve the mobile responsiveness of your online store so that your customers can buy products any where & any time.
Based on Page View
System detects the best conversion occurred when users had viewed a page in a certain a session. This helps you make proper decisions and tweaks when customers are 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.
Based on Visit Prior to Purchase
Ecomfit records your customer visits to your store that helps you to know in advance which is likely to generate sales. Based on this information you can run effective remarketing campaigns. Let's say it takes four store visits before the customer makes a purchase so you can extend the remarketing campaign according to fit the time of those four visits. Consequently, save advertising costs.
Based on Time to Purchase Activities
Suggestions on the number of days can take customers to make the first purchase since their first visit. In accordance with these data, Ecomfit will help you do the remarketing campaigns, for instance, some discount pop-up is great!
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 email: firstname.lastname@example.org