{"id":973,"date":"2016-09-20T09:40:42","date_gmt":"2016-09-20T09:40:42","guid":{"rendered":"https:\/\/www.walkme.com\/blog\/?p=973"},"modified":"2016-09-20T09:40:42","modified_gmt":"2016-09-20T09:40:42","slug":"increased-conversions-907-can","status":"publish","type":"post","link":"https:\/\/www.walkme.com\/blog\/increased-conversions-907-can\/","title":{"rendered":"We Increased Our Conversion Rate by 907% and So Can You"},"content":{"rendered":"\n

For companies that rely on their online presence to bring new business into their funnel, website traffic is necessary but not sufficient. The conversion rate, or the website’s ability to transition visitors into qualified leads, is what actually determines success. However, conversion rate optimization<\/a> can be hard to achieve.<\/span><\/p>\n\n\n\n

Here, we are sharing our in-house strategy with you to show that WalkMe’s value extends beyond a nice user experience. It can be applied to strategy for conversion rate optimization, action completion rates, and revenue. <\/span><\/p>\n\n\n\n

By using our own product we were able to take advantage of organic traffic and increase website conversions from 1.4% to 12.17%. <\/span><\/p>\n\n\n\n

Instantly boost your website conversions today with WalkMe.<\/a><\/em><\/h4>\n\n\n\n

But, what mattered to us as a SaaS B2B company was the quality of leads. It is less of a challenge for marketing teams to increase any kind of traffic than it is to increase the right kind of traffic \u2013 the kind that will ultimately generate sales.<\/span><\/p>\n\n\n\n

True to the nature of our company name, here at WalkMe, we don’t just talk the talk, we walk the walk.<\/span><\/p>\n\n\n\n

We Wanted to Solve a Problem<\/b><\/h2>\n\n\n\n

The primary barrier facing many companies in overcoming a weak conversion rate is effectively explaining the product. Yet, explaining the product and its value is the most important step in beginning a sale. <\/span>We face this issue because WalkMe is a seemingly simple product that can provide value and be applied to a vast array of industries in a number of specific ways.<\/span><\/p>\n\n\n\n

Are we a customer service solution? A UX solution? A training solution? The answer is that we are all of these and more. <\/span><\/p>\n\n\n\n

But that statement is not an effective sales pitch when our buyers are listening for a solution that is tailored precisely to their circumstances. <\/span>Our website contains content fit for most types of customers. But with a starting conversion rate of 1.4% our website was obviously not performing to our benefit when the industry average lays somewhere between<\/span> 2%-9%<\/span><\/a> depending on how you frame it.<\/span><\/p>\n\n\n\n

We looked at drop off points in our analytics and determined that our lowest points were either when users viewed information not yet relevant at their current point in the funnel or found themselves in information not relevant to what would be their best application of it.<\/span><\/p>\n\n\n\n

For example, if a user clicked into the pricing page without understanding the product first they would likely lose interest. Or if a UX manager found herself in the mix of content designed for CRM managers, she might assume the product is not for her.<\/span><\/p>\n\n\n\n

Conversion rate optimization goal: Create and prove the effectiveness of a Walk-Thru that methodically prime users to convert.<\/b><\/p>\n\n\n\n

How We Used WalkMe for Conversion Rate Optimization<\/b><\/h2>\n\n\n\n

Using WalkMe\u2019s software, a member of our marketing team created 4 Walk-Thrus that would appear the first time someone visits our homepage. <\/span><\/p>\n\n\n\n

The initial process and setup took approximately 2 to 3 hours to create. We didn\u2019t have to change our website and we didn\u2019t have to enlist the help of our programmers, web designers, or any other kind of technical specialist. This was a marketing endeavor through and through.<\/span><\/p>\n\n\n\n

The tactical differences between our experimental Walk-Thrus was whether they were designed for specific or general audiences. These included three versions that prompted users to choose a Walk-Thru for their precise use-case and one that was a general overview for a wider audience.<\/span><\/p>\n\n\n\n

After the Walk-Thru’s were created we decided on the percentages of traffic that would be distributed to each Walk-Thru and a control group.<\/span><\/p>\n\n\n\n

The experiment ran over the course of four months. Data was collected continuously and reviewed every two weeks. At the end of each two week interval we would look at:<\/span><\/p>\n\n\n\n