Companies that use Magellan AI

Analyzed and validated by Henley Wing Chiu

Magellan AI We detected 305 companies using Magellan AI, 37 companies that churned, and 13 customers with upcoming renewal in the next 3 months. The most common industry is Retail (9%) and the most common company size is 51-200 employees (28%). We find new customers by detecting JavaScript snippets or configurations on customer websites. Note: We can't detect companies using Magellan AI in server-side only implementations or headless storefronts (edge cases)

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Company Employees Industry Region YoY Headcount Growth Usage Start Date
UpNest (acq. by Realtor.com / NewsCorp) 11–50 Real Estate US 0% 2026-02-11
TravelInsured.com 51–200 Insurance US +1.2% 2026-02-11
Cantey Foundation Specialists 51–200 Construction US +17.5% 2026-02-10
DUER 11–50 Apparel & Fashion CA +11% 2026-02-09
DUER 2–10 Retail CA N/A 2026-02-09
Hero Bread 11–50 Food and Beverage Services US -2.8% 2026-02-08
MenoLabs: Science-backed menopause support 11–50 Wellness and Fitness Services US N/A 2026-02-08
Quicksilver Scientific 51–200 Wellness and Fitness Services US 0% 2026-02-06
BIBIBOP Asian Grill 1,001–5,000 Food and Beverage Services US N/A 2026-02-05
Frog Fuel Collagen Protein 2–10 Retail US N/A 2026-02-04
joinamp.com 2–10 N/A N/A N/A 2026-02-02
Outdoorsy 51–200 Travel Arrangements US -4.9% 2026-02-01
HealthyCell 2–10 Health, Wellness & Fitness US +17.6% 2026-01-31
Hamline University 501–1,000 Higher Education US N/A 2026-01-30
Bloom Nutrition 51–200 Retail US +65% 2026-01-28
ANNA CABECA DO PC 11–50 Hospitals and Health Care US N/A 2026-01-27
Airweave 201–500 Retail US N/A 2026-01-21
BitcoinIRA 51–200 Financial Services US +1.8% 2026-01-19
Sitch 2–10 Software Development US +5.3% 2026-01-19
Flexsteel Industries Inc. 1,001–5,000 Furniture and Home Furnishings Manufacturing US N/A 2026-01-17
Showing 1-20 of 305

Market Insights

🏢 Top Industries

Retail 24 (9%)
Financial Services 23 (9%)
Software Development 22 (8%)
Non-profit Organizations 13 (5%)
Wellness and Fitness Services 11 (4%)

📏 Company Size Distribution

51-200 employees 76 (28%)
11-50 employees 51 (19%)
201-500 employees 45 (17%)
2-10 employees 38 (14%)
1,001-5,000 employees 29 (11%)

👥 What types of companies use Magellan AI?

Source: Analysis of Linkedin bios of 305 companies that use Magellan AI

I noticed that Magellan AI's customers span an incredibly diverse range of industries, but they share a common thread: they're all consumer-facing businesses that need to reach and acquire customers at scale. These companies sell everything from car washes and collision repair to fitness memberships, fertility monitors, dog food, and addiction treatment services. What unites them is that they're competing in crowded consumer markets where brand awareness and customer acquisition are critical challenges.

These companies range dramatically in maturity. Some are venture-backed startups like Wispr Flow (Series A, $30M) and ThreatLocker (Series E, $60M) in rapid growth mode. Others are established enterprises like Lenovo and IBM with tens of thousands of employees. However, the majority sit in that middle zone: 50-500 employees, often privately held or family-owned, with proven business models now focused on scaling their customer base and geographic reach.

🔧 What other technologies do Magellan AI customers also use?

Source: Analysis of tech stacks from 305 companies that use Magellan AI

Commonly Paired Technologies
i
Technology
Likelihood
3047.8x
2391.3x
706.2x
579.2x
490.0x
248.4x
I noticed that companies using Magellan AI are heavily invested in digital advertising measurement and attribution, particularly across audio and connected TV channels. The presence of Spotify Ads alongside multiple programmatic advertising platforms like TheTradeDesk and MNTN tells me these are sophisticated performance marketers running multi-channel campaigns who need to track effectiveness across newer, harder-to-measure media formats.

The pairing of Magellan AI with Spotify Ads makes perfect sense since Magellan specializes in podcast advertising intelligence and measurement. Companies using both are clearly investing in audio advertising and want competitive intelligence plus performance tracking. The strong correlation with MNTN and TVSquared is equally revealing. These companies aren't just doing traditional digital ads, they're running connected TV campaigns and need attribution tools that can connect streaming video exposure to downstream conversions. Axon by AppLovin appearing so frequently suggests many of these companies are in mobile app growth mode, needing to understand how their podcast and audio investments drive app installs.

The full stack reveals marketing-led organizations that are beyond early stage experimentation. These companies have dedicated media buying teams and enough budget to justify specialized measurement tools for each channel. They're likely Series B or later, possibly even public companies, given the investment in premium analytics infrastructure. The emphasis on attribution and measurement over pure acquisition tools suggests they're optimizing existing channels rather than just testing new ones.

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