ConversionXL

FEBRUARY 3, 2022

We’ll look at strategies to reach and engage potential users and break down examples of brands that have used growth hacking to achieve success. Growth hacking is a practice that aims to acquire as many customers as possible while spending as little money as possible. What is growth hacking? via Observer ].

Growth 113

Growth Referrals Minimum Viable Product Drivers/motivators 113

ConversionXL

JANUARY 24, 2017

Conversion is expanding beyond just the core user experience. More and more, people are using experimentation as a way to optimise not just sales – but also pricing, functionality, and product. Trends include: big data tools, data manipulation (SQL and alternatives), languages like Python, and deeper analyses (e.g.,

Conversion 87

Conversion UX A/B testing SQL 87

Heinz Marketing

NOVEMBER 16, 2021

You might look at the platforms below and be thinking “there’s some missing” or “why isn’t X included?”, Features/functionality: Enable data agility and extract more value from your data with Domo’s flexible, scalable architecture. ”, because I had the same thought. Google Data Studio.

B2B 117

B2B X-functional SQL UX 117

ConversionXL

AUGUST 4, 2020

Your new boss read that customer experience (CX) improvements can deliver billions in additional revenue. Achieving a great customer experience that delights demanding customers (and delivers for demanding stakeholders) isn’t easy—even in the most forward-thinking organizations. Give yourself a customer backstory.

A/B testing 117

A/B testing Objectives and Key Results Education SQL 117

ConversionXL

SEPTEMBER 30, 2020

Advertisers avoided mobile apps and browsers because user experience was, at that time, horrible. In most cases, the assumption that users converted on the same browser and the same device as their first site visit was fair. But plenty of research shows that most customer journeys start on mobile. Smartphones were rare.

X-functional 121

X-functional SQL Campaign Launch 121

SaaStr

DECEMBER 8, 2023

It’s easier for someone who isn’t as sophisticated with SQL because they can ask questions of their data without the 3-6 month learning curve beforehand. A big learning during this process was the importance of developing alongside customers. Another learning was to invest in customer success work early on. Personalization.

GTM 91

GTM SQL X-functional Engineering 91