An 17,5% uplift in conversion to lead for B2B saas landing page that converted 49%

Summary

We implemented a radical redesign of Comodo’s landing page, to address critical user frictions we identified in our qualitative data analysis. As a result, we achieved a 17.5% uplift in the visitor-to-lead conversion rate of the landing page that was already converting at a rate of 49.1% (!).

Overview

Our client is a leading cybersecurity service provider called Comodo that has a 44% market share of SSL certificates, operating on 13.9% of all web domains globally.

Our goal was to increase the visitor-to-lead conversion rate of Comodo’s most visited landing page that offered a free forensic analysis to all users who signed up for the demo session. The difficult part of this CRO project was that the landing page was already converting at an amazing rate of 49.1%

Research

The CRO of a landing page is predominately based on UX research and qualitative data from surveys and interviews. With landing pages, you are rarely able to analyse any funnel or event maps that can give CRO insights. So we rely on user feedback, user tests, video session recordings and heatmaps to provide data for optimizing landing pages.

We started collecting qualitative data by interviewing Comodo’s sales team. Our goal was to get answers to the following three questions:

What are the pains and aspirations of Comodo’s potential clients?
How are these pains reflected in Comodo’s value proposition?
What objections do users experience in the process of buying?
How does Comodo address these objections?

In the next stage of the research we conducted an online survey, with landing page visitors to determine factors that defined the purchase decision.

The questions in the online survey were:

What were the top three factors that convinced you to sign up for the free demo session?
What’s the one thing that might have stopped you from signing up for the free demo session?
What options are you considering as an alternative to Comodo and how do they compare?

	Research findings	Conclusion	Hypothesis
1	Users don’t understand the value proposition of free forensic analysis	A short one-screen UI is not enough to explain the value proposition of a technically complicated solution	Explaining the value proposition in a more user-friendly way will improve the perception of the solution
2	Complicated copy with technical language that is not clear for all user segments	Some potential buyers don’t have the required technical knowledge to understand the technical aspects of the solution	By simplifying the copy and replacing technical terms with commonly used terms, we will enhance the comprehension of the value proposition
3	Fear is a key trigger of the purchase decision	Users search for cybersecurity solutions as means to mitigate fear of being vulnerable to malware	The use of a “Pain – More pain – Hope – Solution – Call-to-action” copywriting framework will mitigate fear and encourage conversion
4	Common user concerns and objections to purchase are not related to copy or design	Many users are left with unanswered questions and therefore lack the confidence to convert	Identifying and addressing main user objections and concerns with copy and design will encourage conversion

After conducting the user survey, we concluded that a significant proportion of user frictions to conversion were not addressed with the current UI. We identified the questions and objections users had that were left unaddressed.

Hypothesis

We hypothesized that a radical redesign of the landing page that addresses key friction points and ambiguities will enhance the UX, and as a result will increase the visitor-to-lead conversion rate.

We decided to simplify the value proposition communication. To do that, we used a “Pain – More pain – Hope – Solution – Call-to-action” copywriting framework.

Solution

We created a new design and copy for the landing page that addressed all main user concerns and explained the solution’s value proposition in a more user-friendly way, without technical jargon.

Control variation

Comodo B2B saas - Control variation - 1

Alternative variation

Comodo B2B saas - Alternative variation - 1

Validating the hypothesis

To validate the hypothesis, we conducted an experiment where we compared the existing control variation of the landing page with the new alternative variation that we created based on our findings and hypothesis.

The experiment had the following characteristics:

Experiment type: A/B test

Traffic split: 50/50

Device: desktop

Key metric: visitor-to-lead conversion rate

Secondary metrics: user engagement (time on page, page scroll depth etc.)

Number of users who participated in the experiment: 4,256