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WallaPredict Lead Score

This article explains exactly what goes into Lead Scores, why these factors matter, and how to use this information to prioritize outreach.

Updated over 9 months ago

🚧 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.

Here’s 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:

  • 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.

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