And that’s like Digital Marketing?
While they may not be literally stuck on mountain, digital marketers can often feel just as frustrated and desperate. That’s because they too may have a reached a point where they think they cannot do any better. All their campaign optimization with ad platform data, tweaks and tests is no longer delivering the returns they want. The gains are minuscule or non-existent.
This situation is the definition of a local maximum: the point where you hit peak performance with the digital assets, touch points and campaigns you currently have. Even if you make hundreds of tweaks, improvements will only be marginal. The campaigns are as effective as they can be with the current underlying foundation.
Making the Shift from Local to Global Maximum
When the optimization fails to make a noticeable improvement, we need to focus on making gigantic changes in the right places to move from the local maximum to the global maximum – the ultimate optimal point where digital marketers have all the resources they need for campaigns to perform at their peak and achieve their potential.
Generally, the first step in this process is to increase ad spend for a quick advantage. By doing this, you can easily add more visitors to the top of the funnel. If you get the same types of users at the same type of conversion rate you usually get, you’ll definitely grow your revenue. However, this is rarely the case as our as this assumption is usually wrong.
Data Science to the Rescue
Today’s web Analytics tools capture over 250 different data points, which translates into millions of possible combinations. It is humanly impossible to process all this data and find which combinations are most likely to convert or give you a better return on ad spend. Therefore, companies need to employ data science to achieve this.
Using data science, you can strategically increase volume and get closer to the global maximum without risking return on ad spend (RoAS) or cost per acquisition (CPA). You can look at your existing campaign successes using Machine Learner (ML) algorithms and plot the attributes that have a positive impact on conversions. In other words, find your most profitable cohorts of users.
For example, a ML algorithm may factor where a visitor where came from, what technology they used and what they are interested in from multiple data points within your analytics. This blends both click and behavioral data to find cohorts. You can use these cohorts to expand and find similar audiences to scale to minimize any risk on returns.
Alavi democratizes Data Science
Alavi was built to make data science accessible and affordable for small and medium businesses around the world. It uses data science to do precision targeting. It performs predicative analytics on your customers’ behavioral data so you can quickly and easily target the right audiences to boost campaign performance.
Use Alavi to find “more of the right buyers, who contribute towards a better RoAS, CPA and Lifetime value” and reach your global maximum. Reach the summit before your competitors do!
Check out www.Alavi.ai today.