Articles

What is user segmentation? User segmentation is the practice of dividing users into distinct groups based on shared characteristics such as location, user persona, or product type. This approach is commonly employed in digital analytics and product analytics software, enabling product teams and marketers to gain a deeper understanding of their user base.In application, user segmentation allows teams to tailor their strategies to different user groups, facilitating more effective marketing and product development. By identifying the unique attributes of successful or unsuccessful user cohorts, businesses can pinpoint areas for improvement, enhance user engagement, and potentially increase sales. For example, segmentation can differentiate users based on their interaction with a product, such as those who convert (download or use a product) versus those who churn (cease using the product). Tracking these distinct journeys helps product teams understand varied user experiences and tailor their offerings to meet specific business objectives.The value of user segmentation lies in its ability to provide targeted insights into different segments of the user base, enabling businesses to make informed decisions and optimize user experiences.

What is email segmentation? Email segmentation is the process of grouping contacts that share similar characteristics. It's an email marketing strategy that affects the architecture of a business' contact database. Before sending out email campaigns to the recipients, marketers must plan and set up contact lists. By segmenting the email list, businesses can launch successful email marketing campaigns with personalized content. Contacts receive the right message through targeted emails with this approach.

What is retargeting? Retargeting is a type of marketing that tracks visitors who have previously visited a site or engaged with a content piece and re-engages them with a higher level of assumed intent based on a user's past interactions. 

Have you ever thought “Wow, they get me,” when interacting with a brand? It could be as simple as Netflix recommending the perfect show to binge, or Amazon suggesting a product that complements what’s already in your cart. We now expect these personalized experiences from brands. However, with more content, brands, and purchasing channels out there, it becomes difficult to personalize at scale. Enter the customer data platform (CDP). 

Whether you do it subconsciously or on purpose, it’s human nature to put things into groups.

Hybrid environments with clouds and on-premise systems make information technology (IT) delivery challenging.Organizations with multiple lines of businesses (LOBs) use multiple disparate software-as-a-service (SaaS) applications on top of existing legacy systems. These new applications become part of the IT ecosystem with little involvement from the internal IT team. As a result, businesses suffer from security issues and a lack of data intelligence. The way forward for these enterprises with a hybrid SaaS and on-premise applications lies in simplifying application integration. Businesses must adopt an integration platform as a service (iPaaS) software to aggregate, integrate, and manage cloud and non-cloud services reliably. iPaaS systems enable organizations to unify applications, integrate cloud data, manage application programming interfaces (APIs), automate workflows, and visualize business intelligence.

What is audience analysis? Audience analysis allows marketers to derive key insights about the consumer base in the total available market with the help of real-time data extracted from various online sources. This practice helps businesses identify, plan, and execute marketing campaigns and strategies to create credible market value. With audience analysis, marketing teams can map out content and promotional strategies and also conduct persona profiling.

How many of the emails that come into your inbox do you actually engage with?

Since March 2020, all industries have grappled with the emergence and effects of the COVID-19 pandemic. While there is a semblance of what “normal life” used to be, the adjustments have been sweeping and ever-fluctuating. Personally and professionally the world is learning what potential this new reality holds across all industries, but this learning has been specifically difficult for small businesses. 

Over the past year, there have been a number of trends that have impacted digital transformation, including artificial intelligence (AI), big data, and robotic process automation (RPA), among many others.