Web Analytics
Web analytics are the key to figuring out which marketing campaigns pay off beyond the click-through and which areas of your site aren't working well. With Lyris HQ, you don't need a team of gurus to make sense of your Web stats. Our no-fuss approach to Web analytics is easy to implement, and it allows novices and experts alike to turn Web-site statistics into actionable intelligence that helps you drive marketing ROI.
Improve Campaing ROI
Making informed business decisions about which marketing campaigns to invest in requires real-time insight into what makes your visitors buy – or bail. That's why using Web analytics is critical. When you can measure the true cost-per-click of each campaign and identify the campaigns with the highest conversion rates, you can be more efficient with your spending.
- Break down costs, revenues and conversions. For every keyword and campaign, Lyris HQ Web Analytics provides a quick view of total visitors, total revenue, total cost, cost per click, conversion rate, time on site and other key performance indicators (KPI) and metrics.
- Compare segments. Color-coded reports in Lyris HQ Web Analytics highlight differences in ROI and conversions between various types of visitors.
- Pinpoint how people move down your desired conversion path. The Funnel Report shows the percentage of visitors who reach your goal pages and demystifies where the rest of them got sidetracked.
- Monitor many different types of campaigns: search, email, banners … even offline tactics. Anything with a unique URL or parameter is fair game.
- Automatically collect purchase information. Because we integrate with Miva Merchant, Yahoo! Stores and custom shopping carts, revenue tracking is pain-free.
With Lyris HQ Web Analytics, you no longer need other PPC stats, PPC analytics, SEM analytics and search-engine-optimization tools. You can also say goodbye to out-of-date Web stats and Web-tracking software.
Visual Interface
See where visitors go, how long they stay and from which page they exit. Lyris HQ Web Analytics displays visitor data in context with your web site. Because the data is actually superimposed on your web site, you can easily see and understand visitor behavior. No more pesky pie charts or confusing rows of numbers and percentages.
See What's Changed
- Compare two time periods, and go straight to what's different. The report focuses only on statistically significant variances, so there's no guesswork as to which differences are noise and which are real.
- See what's hot and what's not. Know at a glance what's causing the number of visitors to rise and what's causing that number to fall.
- Get a wealth of performance analytics data – without configuring anything. You automatically see performance differences for keywords, referral sites, campaigns, entry pages, visited pages, countries and more.
Understand Visitor Behavior
There are two ways to delve into visitor behavior and trends. One is by looking directly at the numbers. The other is by using Web-analytics data visualizations that turn numbers into something more meaningful. Lyris HQ Web Analytics uses charts, color-coding and other visual techniques to turn visitor statistics, trends and metrics into easy-to-digest business intelligence.
- Get to what matters … without getting overwhelmed. Lyris HQ Web Analytics helps turn data into information in an easy-to-digest manner. Whether you're a creative type or a hard-core numbers-cruncher, you can quickly tell which visitor behavior, metrics and trends are worth paying attention to.
- Track Web-site activity at a glance. Scan the Site Overview report for your most important metrics, such as number of visitors, costs, revenues, top pages and most active referral sites.
- See traffic statistics in context. We superimpose click-throughs on top of each Web page, showing the percentage of visitors who clicked each link, as well as where they came from, how long they stayed and where they went.
- Easily compare groups using color-coded segments. On a wide variety of Lyris HQ Web Analytics reports, monitor how distinct sets of visitors differ from each other and from all visitors.
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