We detected 3,681 companies using Axon by AppLovin and 534 customers with upcoming renewal in the next 3 months. The most common industry is Retail (37%) and the most common company size is 2-10 employees (53%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
The count of new companies shown here may differ from the total in the table above. This is intentional. We apply a consistent baseline to ensure month-over-month comparisons are apples-to-apples rather than affected by when data was first collected.
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Market Insights
๐ข Top Industries
Retail1175 (37%)
Retail Apparel and Fashion302 (10%)
Wellness and Fitness Services227 (7%)
Manufacturing196 (6%)
Personal Care Product Manufacturing123 (4%)
๐ Company Size Distribution
2-10 employees1806 (53%)
11-50 employees906 (26%)
51-200 employees471 (14%)
201-500 employees133 (4%)
501-1,000 employees45 (1%)
๐ฅ What types of companies use Axon by AppLovin?
Source: Analysis of Linkedin bios of 3,681 companies that use Axon by AppLovin
Company Characteristics
i
Shows how much more likely Axon by AppLovin customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: Pet Services
42.4x
Funding Stage: Series C
39.4x
Industry: Retail Health and Personal Care Products
36.8x
Funding Stage: Series B
27.2x
Funding Stage: Series A
22.9x
Industry: Food and Beverage Retail
22.8x
I noticed that Axon by AppLovin attracts companies selling directly to consumers, typically through digital channels. These are businesses offering physical products you can touch and use: supplements and vitamins, meal kits and specialty foods, clothing and accessories, home goods, pet products, and subscription services. Many operate on a DTC e-commerce model, often with subscription components. They're not building software platforms or B2B tools. They're companies where someone opens an app or visits a website to buy protein gummies, fresh dog food, custom jewelry, or a smart home device.
These companies span the growth spectrum, but most sit in that challenging middle zone. I see a mix of seed-funded startups with a few million in funding, venture-backed companies in Series A or B raising $10M to $50M, and bootstrapped profitable businesses with 50 to 500 employees. Very few are early pre-revenue startups, and very few are massive enterprises. They're at the stage where they've proven product-market fit and need to scale customer acquisition efficiently.
๐ง What other technologies do Axon by AppLovin customers also use?
Source: Analysis of tech stacks from 3,681 companies that use Axon by AppLovin
Commonly Paired Technologies
i
Shows how much more likely Axon by AppLovin customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that companies using Axon by AppLovin are clearly direct-to-consumer e-commerce brands with sophisticated marketing operations. The overwhelming presence of tools like Triple Whale, Intelligems, and NorthBeam tells me these are companies obsessed with understanding their customer acquisition costs and optimizing their paid advertising performance. They're running complex, data-driven marketing campaigns and need granular attribution to know what's actually working.
The pairing of Klaviyo and Klaviyo Analytics appearing so frequently makes perfect sense alongside Axon. These companies are mobile app advertisers using AppLovin's platform to acquire users, while simultaneously running email and SMS campaigns through Klaviyo to retain them. Triple Whale's extreme correlation suggests they're managing significant ad spend across multiple channels and need unified analytics to make quick decisions. Intelligems showing up 804 times more often than average is particularly telling because it's a price testing and optimization platform. This means these brands are not just acquiring customers but actively experimenting with how to maximize revenue from each one.
The full stack reveals these are marketing-led organizations in growth or scale-up stages. They've moved past the early startup phase where you're just trying to find product-market fit. Instead, they're pouring money into paid acquisition and using increasingly specialized tools to squeeze out marginal gains in conversion rates and lifetime value. The presence of heatmap tools alongside attribution platforms shows they're optimizing the entire funnel from ad click to purchase.
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