WallaPredict Lead Score | Walla Support Center
This article explains exactly what goes into Lead Scores, why these factors matter, and how to use this information to prioritize outreach.
🚧 We’re currently expanding this article with more details, images, examples, and clarifications—check back soon!
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 context—not 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 client’s ZIP code
-
How they found you (for example, “Referral Client” or “Walk-in”)
From there, the system automatically does the lookup and scoring—no manual calculations required.
Factors That Make Up the Score
Four factors are considered, each with a specific weight in the total:
1️⃣ Distance (up to 43 points) - How close they are to your studio
2️⃣ Income (up to 21 points) - Average income in their area
3️⃣ Fitness Affinity (up to 14 points) - How fitness-focused their neighborhood is
4️⃣ Referral Source (up to 22 points) - How they heard about you
These are the pieces of context that, over time, we’ve 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 |
| 0-2 miles | 43 |
| 2-5 miles | 35 |
| 5-10 miles | 28 |
| 10-15 miles | 15 |
| 15-20 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 lead’s area helps estimate purchasing power and likelihood to invest in memberships.
| Median Income Range | Points |
| $150,000+ | 21 |
| $120,000-$149,999 | 18 |
| $100,000-$119,999 | 14 |
| $80,000-$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.
| 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:
-
80–100: High-quality lead. Strong fit and high potential for conversion.
-
50–79: 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 guide—local 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.