[Case Study] How Zivame, An Online Lingerie Retailer, Increases Conversions By 20%!

This success story was originally published by WebEngage.

At WebEngage, we love to highlight our clients’ success story in order to keep then motivated to achieve more and also to inspire many others in the league. Be it E-commerce, EdTech, FoodTech, FinTech and many other online businesses, at WebEngage, everyone matters to us and every clients’ challenges can be resolved by implementing a bunch of unique solutions.

And in this article, we’ve underlined the winning journey of one such WebEngage user,

It is one of India’s largest lingerie marketplace functioning in both online and offline space. Founded in 2011, the company has so far raised $46 million in venture capital and currently caters to 1.5 million+ active users on their online properties. Initially, the company was totally into online retailing but forayed into physical space in mid-2016.

During the time of publishing this post, Zivame had 22 open physical stores spread across India and they are planning to cross 100 by next year.

Let’s explore the various use cases of this rapidly upscaling E-commerce brand herewith:

The Objective

Drop-off from the product page is a ubiquitous challenge across all e-commerce businesses. Users come to the platform, search, visit a product page or a couple of them, and then exit without making a transaction.

Now, Zivame did not want to live with the wildly optimistic hope that, once having exited the website, users would return on their own and make the purchase.

However, the problem is that the bulk of MAU for any e-commerce business, which is not totally app-based, is anonymous. You could target known users via mobile or email, but for anonymous ones, the only medium at our disposal is on-site messaging.

Now, creating a personalized, engaging experience, via on-site messaging is easier said than being done. Tying the behavioral history of the user across web and mobile, and incorporating it into your messaging in a live setting is supremely difficult.

So, Zivame used WebEngage Journey Designer to address it.

The WebEngage Effect

Zivame created a Journey that targeted anonymous users, who dropped off from the product page, via two channels:

1. On-site notification
2. Web Push

The lifetime of the journey is 4 days.

If you found it hard to make sense of the above journey, following is a simple whiteboard diagram.

Don’t stop reading! Dig deeper into the solution and the significant results Zivame achieved right here.