2michaeltaylor
Growing a Social Proof Marketing Platform to $88k/mo in Revenue
Generally, most people do NO (or very little) research, testing or thinking about their business idea before investing significant resources into it. My aim was to get them thinking, even if my way isn't the best. If I can help them avoid analysis paralysis and just DO something that moves their dream of starting a business forward, without risking too much money and time, then I'm happy. :-)
With over 10k words I didn't have the time (or frankly, energy) to dive too deep into any one topic. For example elevator pitching, which could be a 10,000 word blog post in itself. Happy to provide links for further reading though if you have any specific resources you find useful?
I actually think the culty thing is kind of a compliment; some of the most successful companies are kind of cultish and many great marketers talk about building 'Tribes' (e.g. Seth Godin). Maybe I just absorbed a bit too much of Noah Kagan's charisma when I worked at AppSumo, I dunno. ¯\_(ツ)_/¯
This is a bigger topic again, but in my experience rather than 'optimizing' (investing a lot of time choosing the best possible path) it's much more efficient to 'satisfice' (invest less time and choose a good enough path). Does it really make that much difference which elevator pitch format you use? Or is it more important that you actually do write one? Providing multiple options would only scare most people away because it's too hard to pick.
Hope that's useful background / partial justification for cultiness. ;-)
Basically; we started as a growth hacking agency and then built our own platform for keeping track of what we tested (and what worked). If you want a free trial + demo, just sign up on the site and we'll walk you through it.
Thanks for the interest!
However I have one more for you: the businesses that buy from you as a consultant are very unlikely to buy your product.
Why? Because if they need a freelancer / consultant / agency to do the work for them, they don't understand the work enough to do it themselves (or don't have enough time). Therefore any self-serve solution tends to be met with blank stares and confusion. Likewise, the people who use our product on a self-serve basis are typically not a good fit for our agency.
* Very fair point, just added to our Asana.
* Client's money. We've spent about $20k of our money over the past six months or so. I would argue we're even more on the hook when it's someone else's money (and we do a lot of design / content marketing in house, that you may normally pay for externally), but I definitely take your point.
* Also fair point, but some data is better than no data IMO (otherwise how do you prioritize this massive list?). Open to suggestions though!
* Yeah we do try to; are you talking blog post now or playbook? We see our blog posts as living, dynamic products in their own right; we plan to update this with more useful information (and edit it down to remove unnecessary info) over time.
* We actually get that feedback all the time. "I don't know what you guys do, but it looks cool" is like the main line we get when we talk to leads. However, the site converts at 19% (seriously) and we haven't been able to beat it yet by being more informative. Working on it!
<tips cap> I'm relishing people actually caring enough to take the time to (fairly) criticize us. Much better than languishing in obscurity. :-)
We've actually just hired our 15th person and for the past 2 years we've worked with 70+ startups and spent around $2m. That's not counting one client who spends about $40k a day on FB ads. Before that I worked at Efficient Frontier (now part of Adobe), Travelzoo and ShopStyle. In each place I managed or optimized multi-million dollar budgets; the learnings from which I applied whilst building our playbook, and I apply every time I write a post.
ROI for our playbook is calculated based on the average of the experiments we've run. Looking at the numbers we've averaged about 2 concluded tests per tactic, but those numbers are highly skewed; there are some that have run 10+ times, others that have never 'run' (just things I've tried before but don't have conclusive data to hand, or things I've read about in blog posts). Either way, this data should be taken with a pinch of salt and used directionally; while eventually we dream of being able to build a recommendation engine that auto-prioritizes these tactics, the reality is that we'll need a lot more people using the system (hence the incessant blogging). :-)
Hope that helps explain where we're coming from?