Chapter 3: Revenue Growth
Revenue growth cases sound positive at first.
The client is not always in trouble. Sometimes they are ambitious. Sometimes they are stuck. Sometimes revenue is growing, but not fast enough. Sometimes a competitor is pulling ahead.
The question is usually:
How can we grow sales?
The stronger version is:
How can we grow sales in a way that is profitable, realistic, and tied to customer behavior?
The intuition
Revenue grows when more customers buy, existing customers buy more, customers pay more, or the company sells a better mix of products.
Use this simple model:
Revenue = Customers x Purchase frequency x Average order valueYou can adapt it to almost any business. For subscriptions, frequency becomes retention and plan size. For B2B, customers become accounts, conversion rate, contract value, and renewal. For retail, it becomes traffic, conversion, basket size, and mix.
The point is not the formula. The point is to separate the growth levers.
If you remember one line from this playbook, make it this:
How to recognize it
You are probably in a revenue growth case when the prompt says:
- The client wants to grow sales.
- Revenue has plateaued.
- A company wants to double revenue in three years.
- Market share is falling.
- A business has strong profit but limited growth.
- The CEO wants to identify the best growth opportunities.
Revenue growth can overlap with market entry, pricing, new product launch, and customer segmentation. Your job is to identify which growth lever matters most.
The client question underneath
The client is asking:
Which growth lever should we pull first, and why?
That means you need to compare options. More marketing, new products, price increases, new channels, retention programs, partnerships, and acquisitions are not equally good. The right answer depends on size of opportunity, ease of execution, margin impact, and risk.
The first 2 minutes
Clarify the goal:
Is the goal total revenue, profitable revenue, market share, or growth in a specific segment?
What is the timeline?
Are there constraints on investment, pricing, brand, or capacity?
Has growth slowed across the whole company or only in certain products, channels, or customer groups?
Then preview the structure in a sentence, and save the full tree for the next section:
I would use the timeframe as context, then structure the growth options into two paths: growing the core business and growing beyond the core. After identifying the best options in each path, I would prioritize them by size, timing, margin, feasibility, and risk.
The core structure
Timeframe and prioritization are not separate growth levers. Think of them as lenses around the tree:
- Timeframe comes first: Short-term goals usually push you toward the core business. Longer-term goals may justify bigger moves beyond the core.
- Prioritization comes last: After you identify options, compare them by impact, timing, margin, feasibility, and risk.
This keeps the structure clean. First ask, "Can the existing business deliver the growth target?" If yes, focus on volume, retention, ticket size, pricing, or capacity. If no, move beyond the core into adjacent businesses or M&A. Then prioritize the best candidates instead of presenting every possible idea as equally attractive.
The analyses that usually matter
Use the analyses to narrow the tree, not to make the tree longer. A strong growth case usually needs three moves:
- Find the constraint: Is growth limited by demand, conversion, retention, price, basket size, capacity, or lack of attractive opportunities in the core business?
- Size the headroom: Which lever can actually move the target, and over what timeframe? A small but easy lever may be useful, but it may not solve an ambitious growth goal.
- Check revenue quality: Will the option grow profitable, sustainable revenue, or just add low-margin volume, discounts, or expensive customers?
- Compare execution risk: Does the client have the channels, team, capacity, brand permission, and investment required to make the option work?
- Choose the first move: Recommend the lever with the best combination of impact, timing, margin, feasibility, and risk.
That is why the best revenue growth answers combine diagnosis and prioritization:
Growth slowed because new customer acquisition fell in the urban segment. I would prioritize improving conversion in that segment before launching new products, because it is the largest near-term lever and uses existing capacity.
What weak looks like
Prompt: A coffee chain wants to grow revenue by 20% next year. What should it do?
Weak: "They could do more marketing, open more stores, launch new drinks, lower prices, and partner with delivery apps."
This is brainstorming without prioritization. It gives ideas but no logic for which one matters most.
What strong looks like
Strong: "I would first break revenue into number of customers, purchase frequency, and average order value. For a coffee chain, customer growth could come from new stores, local marketing, or delivery channels. Frequency could improve through loyalty, subscriptions, or better morning service speed. Average order value could rise through bundles, premium drinks, or food attach. I would size each lever and check margin impact, because delivery or discounts might grow revenue but reduce profit. I would start by diagnosing which driver has underperformed versus last year."
This works because it gives the interviewer a way to compare growth options.
Common traps
Do not list growth ideas without sizing or prioritizing them. Do not assume price cuts are growth if they reduce revenue per customer too much. Do not ignore retention. Do not treat all customers as equally attractive. Do not forget capacity: more demand does not help if stores, staff, or supply chain cannot handle it.
Practice it in CaseLab
Start a CaseLab growth case and focus on separating growth levers before brainstorming. Afterward, review whether you identified the real revenue driver, estimated the opportunity, considered margin, and made a prioritized recommendation instead of a list of ideas.