In marketing, there was a time when more = better. By casting a wide net, marketers hoped to pull in as many leads as possible. More leads, more traffic to the website, more content — what could be better?
The underlying idea was this: Increase the number of possible “attempts” to increase your chances of success.
With this “More of Everything” philosophy, marketing playbooks suddenly become over-abused, blogs became content farms, and companies started to over-measure and over-optimize commoditized best practices.
Building a marketing strategy from the ground up isn’t easy, especially when the product you’re supposed to be selling is still being developed. Here at RepIQ, we knew we wanted to launch and scale quickly, so it was important for us to leverage our time pre-launch to develop an effective marketing strategy. We utilized weekly marketing experiments to quickly test various tactics and determine which would be most effective.
This experimentation process helped up attract 1,000 users pre-launch and also helped us develop a scalable marketing strategy. And while we tested dozens of tactics that didn’t work, we also discovered some clear winners. From our marketing-experiment methodology, to the effective tactics we (eventually) figured out, to best practices for implementing these tactics, I’ll be covering all that and more in this post.
In his annual letter to shareholders, Jeff Bezos wrote:
Big trends are not that hard to spot (they get talked and written about a lot), but they can be strangely hard for large organizations to embrace. We’re in the middle of an obvious one right now: machine learning and artificial intelligence.
We’re probably not yet in the middle. We’re just getting started in shaping up the next industrial revolution with AI. This post is a deep dive into the why and the how Analytics and Marketing SaaS products will use Artificial Intelligence (AI).
This post appeared on Hacker News, join the discussion here.
SaaS products represent the building blocks of a huge part of today’s B2B technologies. The ability to understand the impact of new consumer-facing technologies it’s more important than ever. This brings a lot of new challenges also for people who are not directly involved in software. This post is a walkthrough in how startups use Modern SaaS Stack (Marketing/Support/Sales) along with their journeys from day-0. How they adjust their product/marketing strategies based on new technologies. How they measure (or don’t measure) the impact of those technologies on their customers’ experiences.
The PlainFlow Digested Week is a crowdsource email newsletter that goes to all the PlainFlow subscribers. You can contribute to this email by submitting useful links in this public Github repo. Every Monday morning 9 am PST we will review and approve your pull requests aiming to send the email to your inbox by 10 am PST.
A few days ago we published this introductory post to explain what we intend to do with our Blog.
Over the next few months – while we’ll be working hard on building the technology behind PlainFlow – we will start creating a few new Open Projects.