Top-Customer Avatar and LTV Map
Model your best buyers, value them, then target more accounts like them
- Difficulty
- Easy
- Time to result
- ~weeks to results
- Steps
- 5
- Confidence
- 93%
This map starts with the customers that already contribute a meaningful share of sales, not an imagined ideal buyer. For each account, the team records industry, employee count, the decision-maker's title, and the typical tenure of that person in the role. Tenure matters because an old lead can silently become irrelevant when a new marketing or culture manager arrives. The recurring patterns become the working customer avatar used to source similar prospects. A rough lifetime-value indicator is then calculated from revenue generated over a period divided by customers served in that period, as Boyle describes it. The result combines fit and economics: the avatar shows whom to contact, while estimated customer value helps determine how much acquisition effort or sampling the business can justify. The figures are directional, not a substitute for precise cohort analysis.
Origin
Rory Boyle explains the map as the approach his businesses use to profile major B2B customers, keep decision-maker records current, and estimate what they can afford to spend acquiring similar accounts.
Core principles
- 01Build the avatar from real high-value customers
- 02Profile the account and the decision-maker
- 03Refresh contact data according to role turnover
- 04Let customer value constrain acquisition spending
How to run it
- 1
Select valuable customers
Pull a list of customers representing a large share of sales. Use observed value rather than choosing recognizable names.
Pro tip Start with a manageable sample that captures a substantial portion of customer revenue.
Watch out Do not build the avatar from prospects who never bought.
- 2
Profile account fit
Record the industry and employee count for each selected account. Look for repeated clusters rather than forcing every customer into one profile.
Pro tip LinkedIn can supply consistent company and role information.
- 3
Profile the buyer
Identify the job title that made or influenced the purchase. Estimate how long people typically remain in that role.
Pro tip Use tenure to set a contact-refresh cadence.
Watch out A correct company with an obsolete contact is still a weak lead.
- 4
Estimate customer value
Calculate a rough revenue-per-customer indicator for the chosen period. Treat it as a practical acquisition guide rather than precise lifetime profit.
Pro tip Use the same period and customer definition throughout the calculation.
Watch out Revenue is not profit, and a simple average can hide large differences between cohorts.
- 5
Target and refresh
Search for accounts matching the observed profile and direct outreach to the relevant role. Refresh records when expected tenure suggests the buyer may have changed.
Pro tip Use filters for industry, location, role, and employee count to reduce irrelevant calls.
In the wild
Boyle's team used signals such as a culture officer role or recognition as a strong workplace to identify companies likely to care about sending products to employees and clients. Those account signals narrowed the likely avatar before outreach began.
→ Prospecting focused on organizations with observable reasons to value the offer.
A supplier finds that its largest accounts are mid-sized technology companies and that marketing managers usually remain for about three years. It tags contacts older than that for verification before sending a new campaign, then searches for comparable companies and the current holder of the same role.
→ The team avoids directing relevant offers to departed decision-makers and builds a cleaner prospect list.
Common mistakes
Inventing an aspirational avatar
A profile based on assumptions can direct the team away from the customers already demonstrating value. Begin with actual major buyers.
Keeping stale decision-makers
Role turnover means an old contact may no longer receive the company's outreach or materials. Use tenure to trigger verification.
Treating revenue as exact LTV profit
The transcript's simple revenue-per-customer calculation is only a rough indicator and does not include margin, retention cohorts, or servicing costs.
Is it for you?
Best for
It is best for B2B businesses with an existing customer base and enough sales history to identify valuable patterns.
Not ideal for
It is not ideal for a pre-revenue business with no comparable customers or transaction history.
From the transcript
“got a list of all of my big customers or a large percentage of the customer sales”
“that gives us a great indicator of what our customer avatar is”
“now I know who my customer is and how much I can pay to acquire them”
From the episode
94: Building a Multi-Million Dollar Business Around Your Hobby with Alborz Fallah