Discover why Daily Active Users (DAU) is a key metric for measuring user engagement. Learn effective strategies to track and optimize DAU.

Learn essential data security management best practices to protect your business from cyber threats. Discover strategies today!

Discover how businesses can use behavioral analytics to personalize customer experiences, increase retention, and drive growth. Learn now!

Increase customer loyalty with these top 6 strategies. Boost retention and drive repeat business. Discover how to keep your customers coming back!

Discover what customer churn analysis is and why it matters. Reduce churn, improve retention, and boost your business success. Learn today!

Learn how to perform customer behavioral segmentation with 5 steps. Boost your marketing strategy today. Discover actionable insights now!

Delve into the critical role of event tracking in banking sector. Understand how tracking customer interactions can transform customer experiences for banks.

In today’s competitive financial landscape, understanding and meeting customer needs is paramount. Traditional segmentation methods, which rely on demographic and geographic data, are no longer sufficient.

Customer loyalty is vital for businesses as it reflects customers’ trust, satisfaction, and commitment to a brand. Loyal customers repeatedly choose a specific company, make repeat purchases, and prefer the brand over competitors.

Personalized marketing, also known as marketing personalization or one-to-one marketing, is a strategy that utilizes data to target and retarget leads with a brand message that speaks directly to specific customers’ interests, demographics, and buying behavior.

A marketing funnel helps you identify your customers’ journey progress and understand their interactions with your product.

In 2023, Dataroid sustained partnerships with leading banks, thereby expanding its client portfolio significantly. We are committed to growing and expanding our team, further enhancing our team's capabilities, and increasing the level of customer satisfaction as we approach 2024.

Engagement time optimization is about harnessing data to pinpoint and capitalize on key moments of customer interaction. This strategy entails adapting marketing initiatives to match the general patterns and preferences of customer engagement, fostering greater loyalty and satisfaction.

Customer segmentation is a strategy that divides customers into distinct groups based on shared characteristics and behavioral patterns. It helps businesses understand their customer base, tailor marketing strategies, and gain insights into customer behavior and preferences.

In-app messaging is a powerful tool to engage users within your app. By delivering targeted messages, you can enhance the users’ digital experience, guide users through your app’s functionality, and communicate important updates and promotions.

Funnel analytics tracks user progression through a conversion path, pinpointing drop-off points for optimization and better conversions.

User Path Analytics is a methodology used by businesses to analyze user behavior and journeys within digital platforms. Tracking and analyzing users' paths can enhance user experience and improve overall performance.

Marketing forecasting is the process of predicting future market conditions, customer behavior, and sales performance using various analytical techniques and data sources. The process consists of analyzing historical data, market trends, industry insights, and other relevant factors to predict future demand, sales volume, revenue, and other key marketing metrics.

CAC provides valuable insights into your sales and marketing efforts, enabling you to make informed decisions, optimize your strategies, and drive sustainable business growth.

There are issues with client turnover that arise during the life cycle of any organization. However, it is crucial to realize that keeping current or long-standing customers is always easier and less expensive than seeking alternative ones. Consequently, a business should always look for novel ways to increase client loyalty and recognize hazards and signs to prevent revenue losses.

In the contemporary age, the amount of information produced is greater than ever. As sales promotions ingest enormous amounts of data, the information collected might be scattered or redundant, raising questions about the accuracy of the information they include.

As customers interact with brands across ever more channels, almost all digitally, it’s more important than ever that companies know everything about each of those touchpoints, and how to optimize each one so they provide for a seamless experience for the customer.

Understanding customers is vital to success. Learn about Customer Lifetime Value (LTV) - its importance, calculation methods, and ways to improve it.

In the fast-paced world of digital apps, customer acquisition and retention has become crucial to the success of any business. Among the metrics that play a vital role in this landscape, retention rate stands out as a key indicator of customer loyalty and long-term profitability.

The customer journey is the complete path a customer takes when interacting with a business, from initial awareness to advocacy support. Customer journey mapping is the process of creating a visual representation of this journey to better understand the customer experience. It also identifies opportunities for improvement. In this way, it helps you understand and guide your customers' steps when interacting with your brand.

The effects of events that affect the entire world, such as pandemics and natural disasters like earthquakes, can strike quickly, leaving little time for people to prepare or respond. In these situations, every second counts, and timely communication is crucial.

We all know that grabbing and keeping mobile users are fast becoming the holy grail of any brand strategy. Every stat regarding mobile usage, sales over mobile, conversion rates, etc. has gone up year on year for the better part of a decade.

More than ever designers have a wide range of tools and skills. From this perspective, using product analytics might be the most distinguishable one for product designers. In this article, I’ll try to break down how to connect metrics to the design process and apply the findings to design future improvements.

2022 was another stellar year for Dataroid. As we continued to provide our customers with an amazing consumer experience, we added new leading brands to our client portfolio. We also focused on our employees and partners just as much to make sure we enter 2023 with the same excitement we had over the course of 2022.

We all know what it’s like that first time you meet a new product, see if you like it, and really fall in love. Or fall in hate, as the case may be. Well there’s a word for that whole process, and today we’ll be focusing on what is one of the very first stages of the customer journey, on how to optimize the onboarding experience so that you never lose a potential customer before you’ve claimed them in the first place.

Market basket analysis is a method that searches for connections between items in a commercial environment. Despite its name, market basket analysis extends beyond the typical supermarket setting. Any group of products can be analyzed using the market basket method to find affinities that can be used in some way.

When it comes to building a brand and building a product – and hurrying on to promoting sales – there’s almost always a balance every business needs to find between developing things quickly and developing things perfectly. 

Customer churn is one of the most crucial KPIs to track for a dynamic company. While it isn't the most pleasant metric, it is a figure that may reveal the unpleasant reality about your company's customer retention.

Customer churn is one of the most crucial KPIs to track for a dynamic company. While it isn't the most pleasant metric, it is a figure that may reveal the unpleasant reality about your company's customer retention.

Analytics is a pervasive term in just about every field or business. While plenty of businesses and business people cling to “old school” ways of doing things, there’s no question that data analytics is a part of the present and the future.

Most businesses these days have figured out that data is the way to move their business forward. Technology and analytics have become keywords thrown about in business meetings, often by people who don’t even know what all the terminology they’re using means exactly. But regardless, collecting more data and the proper analysis have become an indelible part of just about any modern business.

It is well-known that gas and oil companies are slower than other industries to adopt technology and create a solid digital transformation strategy. The ageing of operating systems and the complexity of data were some of the reasons that hindered the potential for digital transformation.

Compared to other industries, financial services and banking industry are largely data driven. It’s no secret that banks are now processing big data to make smart business decisions. Increased consumer engagement with digital platforms and the expectation of seamless experiences across all channels, are driving future customer experience design for many industries.

Customer journey mapping is a process whereby the entire experience of your customer(s) is mapped out touchpoint by touchpoint. What this does is let you easily visualize exactly what your customer is going through as they discover your project, and therefore see how to optimize the experience for them.

Some couple thousand years ago, leaders of society had to risk life and limb to slay dragons. Now, it’s the data dragons they’re busy trying to tame! The prevalence of high-powered hardware and software options and an increasingly digitalized lifestyle means that all kinds of data is available for anyone to find and use.

You can measure just about everything these days, but unless you know exactly what you’re measuring and why, none of it will help you optimize your business. Tools like Dataroid help you avoid any painstaking data entry yourself, and give you the results you need to know how your app is performing.

Now that many actions are taken mobile, marketers are leveraging information from multiple sources correctly and identifying actionable insights. For this, it needs the necessary technology.

Marketing is a field that once was based much more on experience, feel, and the random notions of top executives. That’s the case no longer, as predictive analytics has taken over marketing, leading to campaigns being more tailored – and successful – than ever before.

The modern consumer is on a million different channels for a total omnichannel experience, and it’s critical for banks to optimize this customer experiences across those channels and engage with them.

Omnichannel management allows you to understand the customer journey with personalization, real-time contextual engagement, and a data driven analysis.

As smart phone use goes to another level every single year, marketing trends have followed suit to promote more and more mobile marketing campaigns.

The fact that push notifications can be so useful, but also require precisely tailored optimization strategies means you should make sure that you know exactly what you’re doing when you use them to engage customers.

Now we have the power to break the digital/mobile customer experience into steps, and measure & optimize.

Mobile apps bring a more trackable experience, where every step produces data.

A guide to understanding how location-based targeting & geofencing works and how it can benefit digital marketers.

A guide to personalized notifications and how they can be used to drive conversions

Who's the ideal, unique profile for you and how they can increase

On some level, of course you know that every user is exactly like you are. We all discover new products all the time and we know first-hand how fickle our own purchasing decisions can be sometimes.