actualidad

Customer journey analytics: how to identify bottlenecks with advanced data

Boost8 min read
analítica digitaldatossegmentaciónuxexperiencia de usuario

In the digital environment, the smallest change can change everything. Every decision you make about your website or digital product can cause your sales to skyrocket or cause your customers to abandon the purchase process instantly. But the important thing to be able to carry out actions with real impact is knowing where to aim.

Customer journey analytics is dedicated precisely to that: understanding where your users or leads drop off throughout your conversion funnel. It is about sharpening your aim and identifying the exact points where you need to focus in order to improve your conversion and the experience of your users.

In this article we will explain exactly what this type of analytics consists of and why you should consider it in your digital strategy. If you want to optimize your resources and invest in actions that are truly reflected in your metrics, it is time to think about your customer journey.

What is customer journey analytics and why does it matter

What makes customer journey analytics different from the general analytics we all know is its scope — that is, what it focuses on. Unlike traditional analytics, which is governed exclusively by figures and metrics associated with results (e.g.: sales, customers, or orders), journey-focused analytics takes into account many more elements and steps in the process.

The goal of this analytics is to understand the complete state of the user's journey at all times. It is not just about how many sales there are, but about understanding at which point in the funnel problems arise, what elements slow down progress, or even what happens after the user has converted.

Thanks to customer journey-oriented analytics, CRO becomes a source of revenue, growth, and profitability. By deeply understanding the conversion funnel, we are able to propose small, focused improvements that generate great results.

What are bottlenecks and how they affect performance

Your marketing funnel can face what are known as bottlenecks. In other words: throughout your conversion funnel, your users can encounter friction or problems that lead them to abandon the process and not continue. Those exact points where your users' progress stalls are known as bottlenecks.

Excessively long wait times, actions that give no response, repetitive steps... Customer journey analytics is dedicated to finding all those friction points that slow your users down and prevent you from selling more. In fact, they not only reduce your sales but also lower your ROI.

Bottlenecks make the profitability of your marketing actions much lower. Imagine you run a user acquisition campaign that is a resounding success and you get hundreds of leads. But what use are those leads if they abandon the purchase process due to some kind of friction? The number of users who convert will be lower and the cost per conversion will be higher.

How to use advanced analytics to detect bottlenecks

Complete mapping of the customer journey

To be able to fully analyze the conversion funnel, it is essential that you take into account all the information available to you. Information sources, metrics, tools... There are many ways to collect and analyze data about each stage of the journey and you cannot overlook any of them.

Advanced analytics integrates data from different information sources and cross-references it in a way that can yield more insights and context about the customer journey. Unlike classic analytics, opting for this approach will allow you to identify patterns and opportunities that are not always immediately apparent.

Identifying friction points with key metrics

The friction points of any website or digital product are hidden behind unusual alterations or patterns in the metrics. As a general rule, customer journey analytics always tends to focus on those points in the funnel where there is a relevant fluctuation in the most important metrics. But which are those metrics to keep a close eye on?

While each business may have its own, when it comes to CRO there are 3 main metrics that tend to conceal friction points: the abandonment rate (how many users leave the process at a given point), the average time per stage (how long users spend on a specific step), and the conversion rate at each step (the percentage of users who keep moving forward step by step).

Thanks to your web analytics and user research, you will be able to closely monitor these metrics and uncover potential problems. The important thing is that you identify potential improvement opportunities and then move on to formulating improvement hypotheses.

Detecting patterns with AI and predictive analytics

One of the great advantages of advanced analytics focused on the customer journey is that it integrates new technologies like AI to gain even more insights about your users. Its great data processing power is combined with its predictive models, offering you greater agility along with greater visibility.

AI is capable of analyzing large amounts of data, including your users' historical behavior. This allows it to identify behavioral patterns and predict potential blockages or problems in your conversion funnel. AI's predictive models can even alert you to potential user drop-offs or the origin of retention failures. They help you get ahead of circumstances, in other words.

How to resolve detected bottlenecks

The power of CRO does not lie solely in identifying bottlenecks or friction points through customer journey analytics. Its true potential is in resolving them without needing to increase your web traffic or your investment. These are small, focused improvements targeting those specific problems that generate a major impact on your results. Here is how they are put into practice:

1- Prioritizing actions based on their potential and ease: The first thing is to define business priorities. You must always identify those problems that require greater attention (perhaps because that is where the abandonment rate spikes the most) or those that are easiest to resolve (such as a button that does not appear on screen). The point is to decide the importance of each action based on its potential.

2- Optimization of content, design, and interaction flows: The next phase involves defining a hypothesis that determines the source of the problem and proposing an alternative that solves it. In CRO, both hypotheses and variants should be as specific as possible so that the result is as precise as possible.

3- A/B tests and monitoring: The final step is to validate that hypothesis. To do this, it is essential to carry out tests that are representative and in which the different variants compete fairly. The results will serve as a guide for applying those improvements or formulating new hypotheses if you have not managed to solve the bottleneck.

Discover our CRO service and its advantages –>

Real optimization cases with customer journey analytics

Any business that bets on advanced analytics to help it understand its conversion funnel has every chance of coming out ahead. In fact, identifying friction points is the starting point for improving your conversion rate. If you do not know where the problem is, you will never find the solution.

DogfyDiet, one of Boost's clients, is a clear example of the importance of good analytics. When they came to us, they needed to bring order to their classic analytics: a model that did not adapt to their product or their pet food subscription. What we did at Boost was switch to a more global approach that helped them map and control their customer journey from beginning to end.

The results of having good analytics were decisive: +143% in conversion rate and +66% in online sales. Thanks to that clearer visibility into their conversion funnel and friction points, we were able to optimize their customers' experience and increase their results. Everyone won.

See the full DogfyDiet case –>

Implementing a customer journey analytics system in your company

Making the transition from classic analytics to one that focuses on analyzing your marketing funnel is possible if you follow all the necessary phases and commit to the right tools. And at Boost, we can help you.

Remember that advanced analytics takes into account all aspects of your business and its data management: from collection and analysis to data visualization and the actions you carry out. For this we recommend implementing solutions that cover all those needs (Google Analytics 4, Power BI, or Customer Experience tools, for example).

If you can turn your analytics into a culture of continuous improvement based on data and reliable results, it will all have been worth it. Start today translating customer journey analytics into results for your business. Request an audit with Boost and detect the friction points that are holding back your conversions.

Related articles

Customer journey analytics: how to identify bottlenecks… | Boost