Is cklass.com converting its users into buyers effectively?

Cklass.com mid-size e-commerce site, ranked 2332 among the top websites in Mexico. 1 million users visit this site every month. But, only 15.8% of these users buy products. We rate its effectiveness 7.3 out of 10. [1]


Visitors
1 million
Registered

95%
Enagaged

81%
Buyers
15.8%

Anonymous
- 5%

Unengaged
- 19%

Abandoned
- 84.2%


Conversion Stats

  • Traffic: 1 million visitors every month through SEO/Ads/Retargeting.
  • Signups: 5% of visitors stay anonymous. Only 95% of them sign up.
  • Engagement: 19% of registered users don't engage. Only 81% of them add products to cart.
  • Conversion: Of the 81% users who add to cart, only 15.8% of them buy.



Comparing with its peers


We have classified cklass.com as a samaritan in its marketing effectiveness, when compared to its peers in Mexico. It has relatively better engagement when compared sign ups.





Bottlenecks

It has 2 main bottlenecks in its marketing effectiveness:


1. Signups: 5% vistors don't signup

A huge number of the users who visit cklass.com do not sign up. This is especially prominent in mobile website, where 33.2% of users don't signup. Without user's identity, the products are not personalized for individual users and there is no further chance of engaging the user through email. This causes the largest conversion drop off at cklass.com.


2. Engagement: 19% visitors don't engage

19% of the visitors who visit cklass.com don't add products to the cart. An average user visits the site atleast 3 times before making the buying the decision. Currently, cklass.com sends few emails (like cart recovery email) to re-enagage users. This inability to bring back registered users through personalized recommendations causes the second biggest drop off in conversion.


These 2 bottlenecks cause significant drop in conversion. We recommend channel specific solution to solve these 3 conversion bottlenecks. We recommend that you solve the anonymous users problem on mobile and registered but unengaged users on email.


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Disclaimer: This report is created by Guesswork Research Team based on the publicly available traffic data. We use this data to predict the internal metrics of e-commerce companies using our machine learning algorithm. These are indicative numbers. If you have any questions or feedback on this report, please write to us at research@guesswork.co