The first thing we do in the ramp up is generating Powerful Data Intelligence:

Execution: We build a solid foundation for data-driven decision-making and gain deep insights into the target audience.

Outcome: A well-integrated tech stack, comprehensive data analysis, and a thorough understanding of the target audience.

In the current market situation, you win if you use your data better than your competitors.

You generate valuable data points on your website all day long:

So it's about making faster and better decisions, with the highest probability of success and a data-driven process.

And we're doing this whole scenario on steroids, here's why:

Over the last four years, we have gained groundbreaking insights into customer data. That's why we know exactly what works for the biggest players in the industry in terms of paid acquisition and their funnels.

For you, this means that you can see market trends before they happen and act accordingly. It also means that you are always one step ahead of your competition, because you can use the insights of the world's biggest brands to your advantage.

In the onboarding process, we set up the complete tracking solution for you individually and feed your data into our software.

If you have an 8-Figure brand you spend thousands of dollars every single day to buy:

In step 1, we first carry out a big data analysis to close ALL gaps in the conversion process. In other words, we quickly get more money out of your current set-up.

Let’s say you have 5,000 abandoned carts per month at a $60 AOV. That’s $300,000 per month in revenue that you don’t collect.

If you can only get 10% more of those to follow through with the checkout process… You’ll directly add another 7-Figures in revenue per year.

This traffic is already there. This means we need to gain a crystal-clear understanding of why users abandon the purchase process and where we need to optimize.

Which is why we set up the Data Stream Tech Stack to collect valuable quantitative & qualitative data points.

Many organizations have no data at all OR their data is flawed. This is due to mistakes in tracking or data cleaning. Therefore you have to set up targeted tracking to understand exactly how users are behaving.

The three data streams needed to build something useful include:

Most entrepreneurs have the basics covered: they understand how to build and how the technology works. However, they are missing how the technology applies in a way that makes it useful.

We need all 3 streams for a holistic understanding of the customer journey.

In the second step we hypothesize iterations to create a state of the art customer experience:

Execution: We identify bottlenecks along the customer journey and craft CRO Iterations to maximize conversions at every stage of the funnel.

Outcome: A collection of CRO Iterations with improved design & copywriting, ready to be battle-tested.

Many online stores have great products. Most visitors are also interested in the products and would benefit from the products.

But unfortunately the site does not manage to convince the visitors of the added value of the product, because:

Consistent and appealing design strengthens brand image

Potential for brand ambassadors to appear, who in turn represent the brand and convince other potential customers to buy it

Higher market capitalization and possibility to address all customer segments or to earn money with all customer segments and not to leave it to the competition.

Most Brand Operators make changes on their website following one of 2 ways:

They invest resources to implement arbitrary changes AND cannot properly analyze the impact of the changes after.

Based on the target group analysis, the behavior patterns with the highest CR probability are determined and tested. Through test results, we determine the actual performance of the Behavior Patterns for the target group:

We take a close look at your pages and define the initial ideas for the AB tests. We then compare this with the data and analyses we have done.

The deep target audience understanding achieved through AI-powered data analysis forms the basis for optimizing the entire customer journey.

At this stage we combine all of the quantitative & qualitative data points and use scientifically based methods to get a deep understanding about the most important factor of the customers: Why they buy (Their Motivation).

The second most important factor is why they don’t buy. So based on the data you can derive their Fears, Uncertainties & Doubts. This tells you how you need to position the product for the highest conversion possible. And it tells you which psychological triggers to use with the target audience.

Example: We work with a brand that sells Gut health supplements.

Their target group is women who are around 40-70 years old and in the menopause. You can really see that different values are relevant to age.

This means that at different ages, a different value is very far ahead. Things like security, well being, happiness and family come into play.

For women aged 20-30, it's a different story.

Accordingly, the copywriting must of course be geared towards this. The visual language also adapts:

We go through this process of analyzing data streams and combining them with consumer psychology over and over and over again.

Lastly we set up a Scientific Testing Process to build a state of the art customer journey with the highest conversion probability and order value:

Execution: We set up a Split Testing Program to validate the CRO Iterations and then quickly implement them into the live website.

Outcome: A streamlined and data-driven testing process that leads to increased conversion rates and revenue.

For a successful improvement of your conversion rate & AOV, the main component is how quickly and how well you can deliver new test ideas in your campaigns.

Success of a testing program depends on 2 factors:

Meaning you have to maximize the Quantity output of ideas, and make sure that every single idea has the highest Quality possible

Current Symptoms:

This leads to:

Founders waste valuable resources to produce unreliable results with wrong A/B Testing process, which they implement on their store believing to increase their sales, while actually decreasing them (False Positives)

Most testing programs do not generate reliable data + tie up unnecessary resources and are thus for the garbage can...

Through our approach, we get the maximum out of tests/uplift, generating reliable results that the customer can rely on/make informed decisions for their business based on.

At the same time we learn more about the target group through reliable results.

We implement 2 systems for this:

Here’s the thing: everyone can go on your website and create 100 CRO Ideas. That’s not difficult.