Lots of folks have been asking us lately about the connection between site traffic levels and online optimization strategies.Â There are definitely some correlations, but there also seem to be some myths or mis-perceptions about those connections.
We often get asked:
How much traffic do I need before I start optimization?
Do I get enough traffic to my site to even consider optimization?
Will my tests take forever to run if I don’t have a lot of traffic?
How fast can I expect to see the results of optimization if my traffic is low?
These are natural questions from folks who haven’t dipped their toes into the optimization waters, but these questions indicate a few myths that I’ll attempt to dispel.
Myth #1: Traffic is the ‘magic metric’ when it comes to optimization
The fact is that the number of conversions is at least as important as traffic levels.Â We’ve always said that a minimum threshold to do formal online testing is 5-10 conversions per week, and that this amount of conversions (regardless of traffic) can at least get you results in a matter of weeks instead of months.Â A simple tool that illustrates the relationships between site traffic, conversion rate, and test durations is the Google Website Optimizer Duration Calculator.Â This free tool lets you play around with data points and estimate test durations before you start your experiment.Â I can personally say it has saved me a bunch of grief by warning me away from certain client experiments due to the duration estimates being way too long!Â Try changing the page views metric, and see the impact on duration.Â Now, try changing the conversion rate metric, and you’ll see it, too, can have a drastic impact on the duration.
Myth #2: Low-traffic sites won’t see results from optimization
The fact is that low-traffic sites can still see improvements from optimization.Â Remember that “optimization” doesn’t just mean formal testing using a tool like those provided by Omniture or Google.Â Optimization is about getting your company on a program of continuous improvement through hypothesis, change (via formal testing or not), and monitoring of the results of those changes.Â Once you have “results,” you feed those learnings right back into the program and keep going.Â Lower traffic sites may or may not be good candidates for formal testing methods like split testing or full factorial multivariate testing, but they may be great candidates for optimization!Â We often try formal testing on low-traffic sites, and if it’s not productive, we switch our focus to “serial testing,” which means benchmarking the performance of something (an ad, a landing page, etc.), making a change, and then monitoring the impact of that change. Either way, we tend to get results.
Myth #3: Testing and optimization doesn’t really work for low-traffic sites
The fact is that optimization can definitely work, and even formal testing can work if you do it right.Â One way to do formal testing on low-traffic sites is to focus on higher-trafficked pages.Â Another is to test micro-conversions (e.g. reading product reviews as opposed to buying the product).Â Still another is to make a B2C “view cart” page the conversion point instead of the purchase confirmation page.Â There are plenty of methods to shortening the duration of a test, but we’ll keep a few of those to ourselves for now
Myth #4: It’s better to defer optimization until site traffic grows
The fact is that the time to optimize is always “now.”Â There’s an opportunity cost associated with not doing anything, when you could at least be doing something less-than-optimal.Â Your traffic may be less than optimal, but you can still optimize, and when your traffic becomes optimal, you’ll reap the rewards of earlier optimization work.Â We’ve always used the metaphor of the “leaky bucket”:Â If your conversion funnel is a bucket with a bunch of holes in it, why would you spend marketing money to pour more water (a.k.a. traffic) into that bucket?Â Wouldn’t it make more sense to fix the holes, then start pouring more water?
We’re definitely invested in dispelling any other myths about testing and optimization, so feel free to ask questions or contact us if you think you have a unique case and aren’t sure if optimization is right for you.