To specify customer value. 2. To identify & implement the actions that create value. 3. To remove anything that doesn’t create value. 4. To analyze the results (and repeat).
You’d think it might be cost per acquisition, or customer lifetime value, or revenue. But often, KPIs are less about business results, and more about media performance.
be tested. ! Continuous customer interaction - with both client & consumer. ! Establish clear goals for marketing from day one. ! Start simple, iterate on successes and learn from failures. ! Create right-sized, integrated teams, and use the right resources & tools as they are needed. ! Keep score with clients, vendors & partners.
which uses creativity, analytical thinking, and social metrics to sell products and gain exposure. It can be seen as part of the online marketing ecosystem, as in many cases growth hackers are simply good at using techniques such as search engine optimization, website analytics, content marketing and A/B testing which are already mainstream. Growth hackers focus on low-cost and innovative alternatives to traditional marketing, e.g. utilizing social media and viral marketing instead of buying advertising through more traditional media such as radio, newspaper, and television. Growth hacking is particularly important for startups, as it allows for a "lean" launch that focuses on "growth first, budgets second."
focus on how many people are using and/or paying for their product. ! Marketers often assume demand already exists - and focus instead on preference, loyalty, enthusiasm, participation, etc.
some founders spend most of their effort on channels they are familiar with, or think they should be using. Which means marketers in a sector tend to use the same channels & methods.
much information? But this is categorically the wrong attitude to take toward forecasting, especially… where the data is so noisy. Statistical inferences are much stronger when backed up by theory or at least some deeper thinking about their root causes.”
explanation for something. You have to be able to test it. The simplest explanation should (usually) be the best. It should apply to more than one instance of the thing happening. It should help explain other things in the future. It should fit with the evidence.
hypotheses that: Help us make decisions Help us create value for our customers Help us develop empathy for people so deep we can anticipate solutions to problems they can’t yet express * with apologies to Arthur C. Clarke
opinion. 2. Metrics give you answers about what really works. 3. Metrics show you where you’re strong. 4. Metrics allow you to test anything you want. 5. Clients love metrics. http://bokardo.com/talks/metrics-driven-design-sxsw.pdf
channels come to site, landing page, etc. Users have a successful first experience. Users re-visit multiple times. Users refer others via email, links, blogs, widgets, word of mouth, etc. Users buy, download, register, etc.
potential of the strategy (the context + the content). Optimization comes later. Too often, marketers skip to optimization metrics before we’ve properly assessed the potential of the strategy.