Understanding how a dashboard is powered, and having a sense of what is possible and what is not, is a crucial differentiator. Too often, I have seen dashboard projects built in a vacuum, disconnected from the reality of the data and the systems that support them. In these cases, valuable time and resources are wasted building an idealistic dashboard that cannot be implemented or used effectively.
The most important part of designing experiments isn’t to have a single metric in mind or a rock solid hypothesis. It’s to create a knowledge base of insights from past experiments that everyone on your team can learn from. That’s what we’re calling sustainable experimentation.
You need to incorporate reporting into your skillset, and it’s not as scary as you think. There’s a lot that makes you qualified to produce reports, even if you don’t feel like an expert. Marketers, particularly in smaller companies, need to learn enough to be dangerous.
Instead of selling to all your email subscribers, segment your users by behaviour. Have they done anything in your product since signing up? Or have they completed all your onboarding steps and are more likely to buy? Your likelihood of re-activating dormant users increases tenfold with relevant personalized product steps.
Gone are the days where enterprises are the only people who can solve multi touch B2B attribution– tools like DreamData are solving this for startups and SMBs.
Ottawa native Julie Beynon is head of Analytics at Clearbit and she shares why analytics and data warehousing no longer needs to be intimidating for marketers.
Every Mops/CRM needs lifecycle in some form or another to function optimally. You cannot make lifecycle work long term if you don’t partner with sales, not dictate to them, not train them, not get ‘buy-in’, you’ve got to partner with them.
It’s hard to even know where to start. Even after you get everyone to agree on a model and stages, you need to figure out how to deploy this thing. We’re going to give specific advice on the types of properties you need to deploy a basic lifecycle. Your mileage may vary depending on your tool or your business model, but the general principles hold true.
It is so easy to go down rabbit holes when revamping or deploying a lifecycle model. Be very careful not to overthink your lifecycle by creating too many microstages, or by over automating elements of the customer journey or sales process.
Set yourself up for long term success with a solid Lifecycle program. Not only does it help you exert control and mastery over your reporting, it provides a framework for having tough discussions between sales & marketing.