The Minimum Viable Product (MVP) has been a popular concept in the start-up and product development communities. Wikipedia defines it as “a product with just enough features to gather validated learning about the product and its continued development.”
But is the MVP a path to success? Our October 2016 study of 2,400 consumers provides some new data that suggests you may want to reconsider how “minimum” your MVP is.
In October 2016, we split a representative sample of the American population into two groups of 1,200 — we asked the first group about a company they were satisfied with, and the second group about a company they were unsatisfied with.
One question we asked was…
Q. How reliable are [company name]'s products/services?
It’s easier to lose customers with product reliability than it is to win them over
What really stands out to me about this data is how it is distributed. If a reliable product or service had the same effect on satisfaction as an unreliable product, we would expect the satisfied and unsatisfied customers to mirror each other in the chart.
But we don’t see that. The most frequent response from satisfied customers (43%) was that the company’s products or services were “very reliable.” However, the most frequent response for unsatisfied customers was “fairly reliable” (34%). The responses for satisfied customers skew heavily towards reliability while the responses from unsatisfied customers were much more evenly distributed.
In other words, it takes much more to win over a customer than to lose her. You need a very reliable product to satisfy a plurality of customers, but will lose a plurality of customers with even a fairly reliable product. Three out of five just isn’t good enough.
No one ever brags to their friends about how viable a product is
Which brings up the question — is the minimum viable product enough to win over customers? MVP is more focused on features than reliability. And as I was reminded while reading a Consumer Reports article about automobile reliability over the holidays, simpler products can be more reliable partly because they have less features that can break.
However, what are we really discussing when we talk about reliability? It’s not just an independent quality metric; it’s an essential element of the customer experience. And releasing a product that’s not ready for primetime quality-wise hurts the customer experience, independent of the number of features.
When I shared the data with Sean Ammirati, Partner, Birchmere Ventures, and Adjunct Professor of Entrepreneurship, Carnegie Mellon University, he talked about the importance of that customer experience.
“It's easy to assume you can just release your product and get the feedback you need to improve it. After all, the essence of the Lean Startup Movement is releasing ‘Minimum Viable Products’ and learning from your customers. However, it's important to clarify that viable doesn't mean crappy,” Sean said.
He went on, “What you want to do is release the minimum amount of functionality to create an awesome experience so you can learn from it. You don't have to build every feature, but as the data above shows — if the features released aren't done with excellence, you won't be able to learn because the product's instability will bias the feedback. Therefore, think about what the minimum amount of functionality you can release with an awesome experience is and then learn from there. In other words, don't build Minimum Viable Products, build Minimum Awesome Products.”
You only have one chance to make a good impression
To the marketer, this means you have to decide when the product is ready to launch to customers. And more granularly, how many customers should you start with, which customers should you start with (for example, you can start with influencers or champions to encourage word of mouth, but could get burned with negative reviews and alienated customers if the product isn’t “awesome” enough), when should you expand to invest in reaching more potential customers, etc.
One way to think about it is to use the Optimization Sequence from the parent research organization of MarketingSherpa, MECLABS Institute — you should begin by optimizing your Product Factors, then optimizing Presentation Factors and finally Channel Factors.
Beacause you really only have one chance to make a good impression, if you don’t create an amazing experience for customers with new products, how likely are they to give you a second chance?
So before working on a landing page or other marketing for a product or service, make sure it creates an awesome customer experience. And before you start investing in channels (like print ads or search marketing) to drive traffic to that landing page or other purchase experience, make sure you have an amazing pre- and post-purchase experience. If you don’t, you are likely wasting a significant amount of money sending precious customers into a subpar experience to buy a subpar product and ultimately burning their goodwill.
Make something worth buying
I came across a nice explanation of this approach in “Small Giants” by Bo Burlingham. In the book, advertising designer Brian Grunert describes one of the featured companies this way:
“There really was no conscious effort to sell Ani [DiFranco] or Righteous Babe Records, more than just to present them. They weren't trying to trick people into buying a record. The idea was to make something worth buying and then put it out there so that people could be attracted — or not.”
Transparent Marketing: A slice of honesty from Domino’s Pizza (from MarketingSherpa’s sister publication, MarketingExperiments)
'The Science of Growth': What Facebook knew, but Friendster didn't (by Brian Rossi of the Pittsburgh Post-Gazette)
Are you ready to take your understanding of web conversion and value proposition optimization to the next level? Click here to explore the University of Florida/MECLABS graduate program
MECLABS Research Services
Learn how MECLABS Services can help you overcome your toughest marketing challenges.Get more Info >
Test Discovery Tool
Show business leaders all the results of your testing efforts with this free tool.Get the Tool >
A Model of Your Customer's Mind
These 21 tools and concepts have helped capture more than $500 million in test wins.Download the File >
Research-based Lead Generation Swipe File
22 valid marketing experiments to give you ideas for your next A/B test.Download the File >
Free A/B Test Planning Scenario Tool
This simple tool helps you visualize factors that affect the ROI implications of test sequencing.Get the Tool >
Receive the latest case studies and data on email, lead gen, and social media along with MarketingSherpa updates and promotions.