Check out the new guide here: How to Convert your Anonymous Shoppers using 1st Party Web Analytics Data
Anonymous shoppers are the best segment
We think one of the best ways to invest in driving better conversion rates and optimizing your revenue funnel is by focusing on the anonymous website visitors that land on your web store every day.
The best way? Yes – it should be priority #1!
Let’s talk about why…
Anonymous shoppers on your website make up 90% or more of your web traffic. For some eCommerce stores, this number is north of 98%! The segment is extremely large and thus seemingly small optimization improvements can increase conversions significantly, which can have massive revenue impact!
For example, if the conversion rate for you anonymous visitors was 2%, and you were able to push that to 2.2% – a 10% increase – let’s play out the numbers. To make matters simple, let’s say $50 million in annual revenue comes from this anonymous traffic. By increasing that conversion rate by just 0.2% from 2.0 to 2.2 you’ve increased revenue by $5M annually, up to $55 million.
Imagine if you applied more and more effort to that audience and drove those conversion rates even higher!
Not only is the size a big reason to focus on this audience, but these anonymous visitors are actually very data-rich. It’s easy to forget or overlook the 1st party web analytics data that is being captured for every website visitor, but that information is – as cliché as it sounds – a gold mine.
With an informative data set about anonymous visitors, the lightbulbs start going off for how to take advantage of that information to make actionable use and improve business results.
Winning through Personalization
We believe it starts with a desire to create a win-win: where you win because your shoppers win. You create a personalized, individual experience for these anonymous visitors based on their data, and they see more relevant and engaging content, offers, products, recommendations, and so forth.
The result of serving a digital experience that’s based on the affinities and intent of shoppers: they engage more with your website, your content, your products, and ultimately the “checkout” button.
How do you take advantage of all of that data and apply it to your huge audience of anonymous site visitors? That’s why we built our new guide – to walk through just that.
As an example for clarity, this support page lists the many data points that can be accessed from Google Analytics via export or API. That means all of that data is useful for analysis and automation by your team to apply to your goals.
Software tools like Jarvis ML help to support those initiatives, so don’t feel like you’d be alone trying to figure out the correlation between high LTV customers and attributes like: device.mobileDeviceBranding, hits.hitNumber, geoNetwork.cityId, and trafficSource.adwordsClickInfo.criteriaParameters.
Read or download the guide here: How to Convert your Anonymous Shoppers using 1st Party Web Analytics Data. Start doing more for your anonymous shoppers – they need love too.