User Pilot

MAY 30, 2023

It also helps you improve customer retention and make better marketing decisions. For example, the software developer persona may be critical for a product handling API integrations while accounting for only 2% of your user base. Achieving PMF is also crucial to improving your retention rate.

Social Media 98

Social Media Interviewing Underperforming Technical Team Product Marketing 98

Valuize Consulting

JUNE 9, 2022

In order to drive best-in-class Net Dollar Retention (NDR), you need seasoned CS Operations leadership with the right amount of strategic expertise, seniority, and influence that can act as a partner within your organization and across your business. They Derive Insights For Data-Backed Decision Making. They Drive Economic Growth.

Sales Hiring 52

Sales Hiring Customer Success Scale Leadership 52

User Pilot

MARCH 29, 2023

Retention rate , churn rate , customer lifetime value , or NPS scores are examples of digital analytics that product managers will find relevant. Software developers will be interested in digital analytics that focus on the technical performance of the website, like bug reports or uptime. What are some of them?

Data 98

Data Social Media Customer Lifetime Value Acquisition 98

User Pilot

JULY 17, 2023

Some companies prefer to organize their teams around product managers with specialist skills , like growth or data analysis. A product team structure is how a business organizes the product team to best support software development. For example, Revenue and Customer Lifetime Value (CLV) depend on customer retention.

SaaS 98

SaaS Scale Leadership Customer Lifetime Value 98

User Pilot

SEPTEMBER 29, 2023

TL;DR A growth team works to identify and execute growth opportunities through data and experimentation. The main responsibilities of growth teams are user onboarding optimization , user engagement, conversion rate optimization, user education, and data analysis. The obvious benefit is the ability to scale growth.

Scale 105

Scale Software Review SaaS Technical Review 105

Tom Tunguz

NOVEMBER 8, 2023

First, they have driven an increased demand for data and are causing a complete architecture inside companies. Second, they change the way that we manipulate data. Analysts will use automated data analysis, and it will be an expected tool in every product : notebooks, BI, databases, etc.

Artificial Intelligence 186

Artificial Intelligence Trends Data Software Review 186

SmartKarrot

JANUARY 18, 2022

SaaS (Software as a Service) is an on-demand product distribution strategy that allows software developers to distribute software through the internet and enables users to utilize powerful software without having to deal with hardware management or complex installation processes.

Trends 10

Trends Enterprise Artificial Intelligence Technical Review 10