US Appointment Booking Users Database (2024–2025) — 736K Records
Price range: $1,600.00 through $4,900.00
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Extra free email validation is included with purchased data.
736K US users who booked services via online appointment systems (2024–2025). Includes email, phone, booking frequency, and preferred scheduling times.
Description
Published February, 2026
Pricing tiers
| Tier | Description | Price |
|---|---|---|
| Low-Activity Bookers | 2–3 bookings — ~559,500 users with light engagement. Ideal for broad campaigns, testing, or expanding reach across service-seeking consumers. | $1,900 |
| Mid-Activity Bookers | 4–7 bookings — ~140,500 moderately engaged users. Perfect for targeted email/SMS campaigns to service users showing recurring interest. | $2,400 |
| High-Activity Bookers | 8+ bookings — ~36,600 highly active users (top ~5% most engaged). Best for high-intent campaigns, premium offers, and high-conversion outreach. | $1,600 |
| Complete Dataset | All users (2–946 bookings) — 736,600 records combining low, mid, and high-activity audiences. Maximum coverage with full segmentation options for serious campaigns. | $4,900 |
Notes:
All tiers Include email and/or phone contact fields
Covers observed 2024–2025 appointment booking activity
Mixed audience: consumers + SMB stakeholders (~10–20% corporate domains)
Delivered as-is, no enrichment or licensing guarantees
High-Activity tier captures top ~5% most engaged users, offering best targeting ROI
This dataset contains 736,600 deduplicated US-based users who have actively booked services through online appointment scheduling platforms during 2024–2025. Records reflect observed booking behavior, not inferred interest, making the audience suitable for demand-generation, service marketing, and appointment-driven campaigns.
The audience spans a wide range of service-based verticals, including personal care, wellness, fitness, automotive, legal, healthcare, pet services, and professional services. The dataset includes a mix of end-consumers and SMB stakeholders, with approximately 10–20% corporate-domain emails, indicating potential business owners, operators, or administrative decision-makers alongside regular service customers.
Each record includes direct contact fields (email and/or phone) and engagement attributes derived from real booking activity, such as total number of bookings and preferred booking day/time. These behavioral signals allow segmentation by engagement intensity and scheduling patterns, enabling more targeted outreach than generic consumer lists.
This dataset is best suited for:
Appointment-driven service marketing
SMS and email outreach campaigns
Lead generation for service tools, platforms, and offers
Market research on service booking behavior
Audience modeling and intent-based segmentation
Data is delivered as-is, with no licensing or usage guarantees implied. No enrichment, consent flags, or demographic modeling has been added beyond the observed fields.
Sample data:
Id FirstName LastName Email Phone NumberBookingsEver FavoriteDay FavoriteTime 3013 Dawn Mello [email protected] 2088559893 4 Thursday 15:00:00 3827 Leslie Martinez [email protected] 8326223770 7 Monday 11:00:00 3993 Yara Lozano [email protected] 2812500872 8 Friday 17:30:00 4044 Dave Slomski [email protected] 8604167950 4 Wednesday 14:00:00 4321 Peppa Kapfer [email protected] 8057044719 3 Monday 10:30:00 4510 Judy Koch [email protected] 8603141230 4 Wednesday 09:30:00 4514 dawn kale [email protected] 2035608677 3 Wednesday 11:00:00 4572 Barbara Luchansky [email protected] 8609192566 7 Friday 10:30:00 4636 James Tremaglio [email protected] 8603072494 23 Wednesday 10:30:00 4654 Rick Callahan [email protected] 2038860052 2 Tuesday 09:00:00 4687 Jennifer Malentacchi [email protected] 8604800381 17 Thursday 10:30:00 4701 Becky Wells [email protected] 5129010168 61 Wednesday 11:00:00 4716 John Bate [email protected] 8603071658 11 Thursday 11:30:00 4732 Cassandra Diogostine [email protected] 2034416523 9 Friday 09:00:00 4769 Kristopher Gal [email protected] 8604811808 7 Thursday 11:00:00 4796 Robin Bruneau [email protected] 2037074442 3 Thursday 02:30:00 4822 Carolyn Clapp [email protected] 8609959291 7 Friday 11:30:00 4833 Clinton Jackman [email protected] 8603297605 8 Thursday 16:30:00 4841 Robert Levine [email protected] 8606734157 4 Monday 10:00:00 4933 Jeffrey Schaefer [email protected] 8608776511 9 Friday 10:00:00 4982 Roni White [email protected] 8602149125 79 Tuesday 09:00:00 5045 Nicole Starkey [email protected] 2149955574 17 Friday 10:30:00 5199 Angie Roberson [email protected] 8172657127 49 Tuesday 11:00:00 5269 Peter Gillespie [email protected] 2032356179 6 Thursday 09:30:00 5314 Jake Chamberlain [email protected] 2484372610 33 Thursday 08:00:00 5355 Krystal Trevino [email protected] 8326202616 6 Wednesday 17:00:00 5360 Jim Lynam [email protected] 2036447024 11 Tuesday 12:00:00 5361 Jean Connor [email protected] 8106239911 2 Wednesday 12:00:00 5364 Imelda Garza [email protected] 8179882310 12 Monday 10:30:00 5545 Dawn Hedden [email protected] 6072279704 2887 Saturday 11:30:00 5678 Scarlett Narvaez [email protected] 8326567642 7 Wednesday 16:00:00 5718 MARVA SCHWAGER [email protected] 2083337000 6 Wednesday 09:00:00 5868 David Head [email protected] 2488917836 197 Tuesday 10:00:00
Additional information
| Product pack (see table below) | Low-Activity Bookers, Mid-Activity Bookers, High-Activity Bookers, Complete Dataset |
|---|






