The MicroConf Europe 2016 Talk Recaps can be found on the central hub page.
Website: priceintelligently.com
Twitter: @patticus
Slides: http://www.priceintelligently.com/microconf
- Premise: “Building a software company is getting harder, not easier… and it’s going to increase in difficulty.”
- LTV/CAC Ratio:
- less than 2 results in 4-12% churn
- 2-5 results in 3-6% churn
- over 5 results in <3% churn
- What % of total sales is expansion revenue: 10-15%
- How much should you be growing YoY: As much as possible
- no fixed growth target set by VC, because we are bootstrapped
- Your growth rate goes down the bigger your annual recurring revenue (ARR) is
- Our world is more competitive, making switching costs easier.
- 5 years ago: Average of 1.5 competitors per surveyed SaaS app
- Today: Average of 8 competitors per surveyed SaaS app
- The value of features is declining over time
- CAC is increasing over time
- You need to know your buyers on a granular basis
- valued features
- least valued features
- WTP (Willingness To Pay)
- CAC (Customer Acquisition Cost)
- LTV (Lifetime Value
- Problem: We don’t do a lot of cust dev conversations
- 75% of companies have less than 10 customer development conversations per month
- 78% of companies are sending 0 customer development surveys per month
- 50% of companies do 0 marketing experiments/tests each month
- Looked at over 25,000 growth blog posts
- 80% are written about Acquisition
- less than 10% are written on Retention!
- Looked at 6,324 companies
- 90% are building for Acquisition
- <5% are building for Retention
- C-Level/Founder spend their time on
- 85% getting more logos (Acquisition)
- Impact of improving each growth lever by 1% results in the following growth in your bottom line:
- Acquisition: 3.32%
- Monetization: 12.7%
- Retention: 6.71%
- We want customers, but don’t know what to do when we get them!
How do we fix customer development and focus on monetization
- 3 ways to better monetization
- Quantify buyer personas
- Implement a pricing process
- Utilize a multi-price mindset
- Example: ProfitWell
- Noticed that one of their consulting clients about to IPO were calculating MRR the wrong way
- ==> We can build a product that will calculate everything correctly
- Immediately got compared to Baremetrics and Chartmogul
- We noticed there are 37 other competitors…
- We went back to the playbook: Persona-Pricing Fit
- Startup Steve vs. Miderprise Marty
- For the love of God. Talk to your customer.
- set a target – e.g. “we talk to 10 customers each month”
- Right way to set prices: Value-based pricing influenced by cost-plus pricing & competitive pricing
- have multiple tiers of your product – differentiated by enabled features
- “Please rank the following features on a scale of 1 to 10” will show you that every feature is important
- Better: “Of the following options, which is LEAST and MOST important to you”
- can be used in conversations, not just surveys
- much better data quality
- correlate answers to size of business of your customers ==> tells you what small customers care about vs. what big customers care about
- How much are your customers willing to pay?
- “At what price point does PRODUCT become too expensive that you’d never consider purchasing it?”
- “At what pp does PRODUCT start to become expensive, but you’d still consider purchasing it?”
- “At what pp does PRODUCT become so cheap you question the quality of it?”
- WTP for enterprise customers was $150-$250/mo
- CAC ~ $3,000
- LTV: $1,500
- ==> “Oh shit!”
- WTP for Churn Recovery for enterprise customers: $3,000 / month!
- WTP for Revenue Recognition for enterprise customers: $2,500 / month
- Implement a pricing process
- Timeline for changing your pricing (repeat every quarter)
- week 1-4: Customer/Market Research
- week 5-7: Communication Plan, Impact Analysis, Customer Advisory Panel
- week 8-9: Implement changes
- Timeline for changing your pricing (repeat every quarter)
- Utilize a multi-price mindset
- you want to have growth both from new and existing users
- use a value metric (e.g. Wistia differentiates along “# of videos”)
- do NOT use # of users
- value metrics should:
- Align to your customer’s needs
- Grow with your customer
- Be easy to understand
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