ConversionXL

FEBRUARY 3, 2022

The goal of growth hacking as marketing is rapid growth, using strategies and tactics that leverage (and even exploit) technology, platforms, and behavior to reach an end goal. Analytical capability: Possessing Excel or SQL skills to extract data and gather insights on experiments to make better decisions. ConvertKit.

Growth 113

Growth Referrals Minimum Viable Product Drivers/motivators 113

ConversionXL

JANUARY 24, 2017

What are the industry and technology trends that are fueling the need for these skills? More and more, people are using experimentation as a way to optimise not just sales – but also pricing, functionality, and product. What are the skills someone should invest in learning if they want to be a top 1% optimization expert in 5 years?

Conversion 87

Conversion UX A/B testing SQL 87

ConversionXL

SEPTEMBER 30, 2020

After the iPhone launched in 2007 to mass adoption, analytics were never the same. From the other side, technology companies like Apple have limited tracking. A good example is the launch of ITP 2.1 The final step, then, is normalization: Attributed value for google/cpc = $300/($300+$500) = $300/$800 = 0.375 x $500 = $187.5

X-functional 121

X-functional SQL Campaign Launch 121

SaaStr

FEBRUARY 11, 2020

So, again what David says, trying to force progress by jumping ahead before completing the current phase is kind of like two steps forward, three steps backward, because we’re in such a rush, because we see all of these stories around people launching and growing. Just measure SQLs. You get dashboard clutter.

Growth 78

Growth Niche Hospitality X-functional 78

SaaStr

DECEMBER 8, 2023

There are a bunch of unknowns, but it’s clear how much LLMs are democratizing technology. 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. The necessity of balancing security and functionality.

GTM 96

GTM SQL X-functional Engineering 96

ConversionXL

OCTOBER 4, 2018

The other half have a mix of data sources, which inevitably include an offshore SQL database (or ten) managed by an external vendor whom no one can track down. or “Who is likely to try product X?” Coordinating the involvement of those teams and accurately estimating the time-to-launch is complex.

Sports 131

Sports Clients Engineering Niche 131