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What Is a Lead Score?
Lead Scores help you quickly understand which new leads are most likely to join your studio.
Each lead is automatically assigned a score out of 100. The higher the score, the stronger the fit based on key factors that influence conversion and long-term retention.
Lead Scores are designed to add helpful contextânot to replace your personal judgment.
If a lead has a lower score but you know them personally or have a strong connection, you can absolutely prioritize them as needed.
Data Needed to Create a Lead Score
To keep this simple, you only need to enter:
Your studio ZIP code
The clientâs ZIP code
How they found you (for example, âReferral Clientâ or âWalk-inâ)
From there, the system automatically does the lookup and scoringâno manual calculations required.
Factors That Make Up the Score
Four factors are considered, each with a specific weight in the total:
1ď¸âŁ Distance (up to 43 points) - How close they are to your studio
2ď¸âŁ Income (up to 21 points) - Average income in their area
3ď¸âŁ Fitness Affinity (up to 14 points) - How fitness-focused their neighborhood is
4ď¸âŁ Referral Source (up to 22 points) - How they heard about you
These are the pieces of context that, over time, weâve seen make a real difference in whether someone becomes a member.
Distance
Why it matters: Leads who live closer to the studio are more likely to visit regularly and stay engaged.
Distance | Points |
0â2 miles | 43 |
2â5 miles | 35 |
5â10 miles | 28 |
10â15 miles | 15 |
15â20 miles | 8 |
Over 20 miles | 3 |
Example:
A lead living 9 miles away would receive 28 points for distance.
Income
Why it matters: Median household income in a leadâs area helps estimate purchasing power and likelihood to invest in memberships.
Median Income Range | Points |
$150,000+ | 21 |
$120,000â$149,999 | 18 |
$100,000â$119,999 | 14 |
$80,000â$99,999 | 10 |
Under $80,000 | 6 |
Example:
A ZIP code with a $160,000 median income earns 21 points in this category.
Fitness Affinity
Why it matters: Some ZIP codes are known for strong health and fitness culture, which increases the chance that residents will value studio memberships.
How scoring works:
Leads from high-fitness areas (predefined in the system) receive 14 points.
All other areas receive 8 points by default.
Referral Source
Why it matters:
Referrals are one of the strongest predictors of conversion. Leads referred by current clients often have a higher level of trust and interest.
Hereâs the table based on your REFERRAL_SCORE_MAP:
Source | Points |
Referral Client | 22 |
Referral Team | 20 |
Referral Past Member | 18 |
Walk-in | 12 |
Event | 10 |
Social Organic | 9 |
Website Organic | 9 |
Email Campaign | 8 |
Search Organic | 8 |
Wellhub | 6 |
ClassPass | 6 |
Social Paid | 5 |
Search Paid | 5 |
Email Cold Outreach | 3 |
Social Cold Outreach | 3 |
Advertisement | 2 |
Out of Town | 0 |
Unknown | 0 |
Example:
A referral from a current client receives 22 points.
What the Final Score Means
Scores are grouped into three categories:
80â100: High-quality lead. Strong fit and high potential for conversion.
50â79: Medium-quality lead. Worth following up and nurturing.
Below 50: Lower-quality lead. May require more time or marketing before converting.
This scoring is a guideâlocal knowledge and personal relationships should always be part of the decision-making process.
Example Lead Breakdown
A sample lead with these details:
Distance: 9 miles
Median income: $160,000
High-fitness area
Referred by client
Factor | Points |
Distance | 28 |
Income | 21 |
Fitness Affinity | 14 |
Referral Source | 22 |
Total | 85 |
This would be considered a high-quality lead, ideal for prompt personal follow-up.
