top of page

Beauty Services: Service Development Lifecycle  

Overview:

Manicube (now AtWork by Red Door) was a Next Generation Commerce Startup founded in 2013 by two HBS graduates. It offered in office beauty services for busy professionals and it leveraged technology (scheduling, booking, payments, other task automation) to reach scale. At the time of the acquisition by Red Door Spa in November 2015, Manicube was successfully operating under a B2B2C model that was serving over 250 corporate clients  and about 50,000 of their employees  across 4 markets. 

Strategy:

Manicube was venture backed (Series A from Bain Capital in April 2014) and the strategy evolved around reaching scale via a rapid expansion.  In order to raise more venture money we needed to prove that we can not only expand vertically  (quickly sell new clients in existing markets) but that we can also efficiently expand operations in new markets. To secure Series B funding we had to reach certain #Milestones that were tied to new market expansion and REVENUE (which I'm covering here).

What can we do to increase revenue?

To understand how we can increase revenue we have to look at its components. What's REVENUE made out of?

 

REVENUE= $Price x Units sold

or

Total REVENUE= Service Revenue + Product Revenue (if you have any products that make sense selling)

To increase Total Revenue, we considered the following:

Increase APS (average price per service)

 

  • Introduce More Services with higher price points 

  • Introduce add-on’s to new and existing services

My job !
and the stuff i'm talking about in this post

Increase # Services Sold

  • Acquire more clients sites

  • Increase utilization at existing client sites (convince more people to use our services at each client site)

Sell Products

  • Sell physical products that complement the services offered

  • Develop and sell your own products

My job again!
You can read more about what I did to increase this hERE

OK! So, MORE SERVICES! But what services and how we decide which services to test?

1. We asked our customers! All our development efforts (services OR software) started with the customer at the epicenter.

We gathered data from various sources :customer surveys, customer interviews, Service Provider (customer related) intelligence, HR manager feedback, sales calls etc.

2. We then looked at what services  made the most sense to develop and test. 

Once we had a list of potential services in mind we aimed to answer the following questions:

 

A.Can we do it ? As in: is it doable from a time, protocol, supplies, Service Provider ergonomics, hygiene standpoint.

B. Should we do it? Is the ROI on this service attractive?

How did we think about ROI?

Gross margins  +  Effort + Potential to introduce new customers to our brand 

 

How we structured our new service tests.

You may have noticed by now that we didn't just launched services nationwide. We tested them first in one, maybe 2 markets for a 12 week period and then we made a decision on whether the service should be rolled our nationally. We ran these experiments because the risk and cost associated with a national launch are very high.

1.Test Structure:

Week 1-3

  • Stakeholder Identification

  • Stakeholder Communication

  • Protocol development

  • Service provider training

  • Supply acquisition

  • Pricing model

  • Customer attitude research

  • Client site sampling

Week 4- 15 

  • Weekly calls with Client Management & Operations team to synthesize learning and refine test conditions

  • Weekly calls with Service Providers, HR managers and Customers to gather qualitative feedback on service.

  • Weekly progress report to all stakeholders (metrics, learnings/insights, original test modifications based on insights)

Implementation, monitoring

& results

Communication  & Organization

Week 16
What did we look at to make the decision of whether or not to scale nationally?
Gross Margin analysis: Assumptions vs Results
Utilization rates: Assumption vs Results
Margin vs Utilization analysis: How much do our utilization rates "dilute" our profit margins?
Market specific characteristics: e.g Are midwest customers more price sensitive than bicoastal ones?
Promo code usage behavior: Specifically, was promo code usage an indicator of price sensitivity (percentage of users that have not retried the service but reported a high NPS score)?
Repeat behavior: What percentage of our customers have tried the service more than once over 12 weeks
Indirect Costs: Team impact (additional time spent hiring and training,additional supplies management, new service marketing)
Satisfaction : Service Provider satisfaction (ergonomic impact)
Customer Satisfaction: As measured by the NPS score connected to the particular service
And how did we ACTUALLY make decisions?
There was no one magic formula for deciding yay or nay. We generally gave careful consideration to all factors lsited abive but focused more on these two things:
 
1. The gross margin vs utilization analysis . As one can imagine, a hefty gross margin is useless unless the service is consistently booked at a certain level. 
2. Indirect costs. Do the specific markets teams have the resources needed to implement and manage an additional service offering?
 
The tests were meant to mitigate some of the risk involved with new service launches by giving us some data on how to benchmark our expectations of what the margins would be. Being a new type of service provider with a new delivery model for beauty services, meant that we had no competitor or comparable products to look at and learn from. Operationally we were a very intricate business and any new service addition would increase the workload of each market considerably. Testing and consistently drawing insights from our learnings was paramount to our expansion strategy and team dynamics.

Proposal & Decision

MadaVural.com®     Copyright © 2016-2024     All rights reserved.

Photos courtesy of RiverFlowsThroughIt & Wix Images

bottom of page