We detected 1,334 companies using Akamai Bot Manager and 13 customers with upcoming renewal in the next 3 months. The most common industry is Retail (18%) and the most common company size is 10,001+ employees (24%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
📊 Who usually uses Akamai Bot Manager and for what use cases?
Source: Analysis of job postings that mention Akamai Bot Manager (using the Bloomberry Jobs API)
Job titles that mention Akamai Bot Manager
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Based on an analysis of job titles from postings that mention Akamai Bot Manager.
Job Title
Share
Information Security Engineer
25%
Network Engineer
13%
DevOps Engineer (SRE)
13%
Director of Information Security
8%
My analysis shows that Information Security Engineers (25%) are the primary buyers and users of Akamai Bot Manager, followed by Network Engineers (13%) and DevOps Engineers/SREs (13%). Directors of Information Security (8%) and Security Architects (8%) round out the leadership purchasing roles. These teams sit within cybersecurity, infrastructure, and edge services departments. Their strategic priorities center on protecting web applications, reducing bot traffic, managing WAF policies, and ensuring high availability for customer-facing digital properties.
The day-to-day users are hands-on security practitioners who configure and tune Akamai Bot Manager alongside WAF solutions. They monitor bot activity, implement rate-limiting and geo-blocking rules, analyze traffic patterns, and respond to automated threats. I noticed these engineers work closely with application development and SRE teams to onboard new services, troubleshoot false positives, and integrate security logs into SIEM platforms for real-time monitoring.
The core pain points revolve around bot mitigation at scale and protecting digital revenue streams. Companies want to "identify, categorize, and manage public crawlers, SEO engines, and other automated scraping bots" while maintaining legitimate user access. They need to "minimize false positives and maximize threat detection" and "conduct emergency treatment and source tracing analysis" when attacks occur. One posting emphasized the goal to "keep our customers safe and our site performant," revealing that bot management directly impacts both security posture and customer experience for high-traffic retail, media, and entertainment brands.
👥 What types of companies use Akamai Bot Manager?
Source: Analysis of Linkedin bios of 1,334 companies that use Akamai Bot Manager
Company Characteristics
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Shows how much more likely Akamai Bot Manager 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
Funding Stage: Post IPO secondary
212.1x
Funding Stage: Post IPO debt
117.8x
Company Size: 10,001+
54.6x
Industry: Banking
52.7x
Funding Stage: Post IPO equity
45.2x
Company Size: 5,001-10,000
26.3x
I noticed that Akamai Bot Manager's customers are predominantly large-scale consumer-facing businesses that handle massive transaction volumes. These companies include major financial institutions like E*TRADE and Banco Bradesco, global retailers like Costco and Albert Heijn, airlines like WestJet and Ethiopian Airlines, and telecommunications giants like Verizon and Telcel. What unites them is that they operate digital platforms where customer trust, account security, and transaction integrity are absolutely critical to their business model.
These are overwhelmingly mature, established enterprises rather than startups. The signals are unmistakable: employee counts routinely exceed 1,000 and often surpass 10,000, many mention century-long histories (Royal Mail, Omaha Steaks since 1917, Piaget since 1874), and several are publicly traded or part of massive conglomerates. The Federal Reserve Banks, religious institutions, and luxury brands like Valentino and Vacheron Constantin represent the kind of institutional permanence that defines this customer base.
🔧 What other technologies do Akamai Bot Manager customers also use?
Source: Analysis of tech stacks from 1,334 companies that use Akamai Bot Manager
Commonly Paired Technologies
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Shows how much more likely Akamai Bot Manager 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 Akamai Bot Manager users are predominantly large-scale e-commerce and direct-to-consumer brands operating sophisticated digital experiences. The combination of Adobe Experience Cloud, OneTrust, and tools like Movable Ink and Dynamic Yield tells me these are enterprise retail companies investing heavily in personalized customer journeys while managing significant bot traffic that threatens their operations and customer experience.
The pairing with OneTrust appearing in 469 companies makes perfect sense because these retailers handle massive amounts of customer data and face strict privacy regulations globally. They need both bot protection and consent management working together to distinguish legitimate customers from malicious bots while staying compliant. Narvar's presence is particularly revealing since it specializes in post-purchase experiences and order tracking. This suggests these companies worry about bots hitting their order status pages and customer service portals, not just checkout flows. Dynamic Yield and Movable Ink appearing together shows these brands are running real-time personalization at scale, which means they need to filter out bot traffic that would pollute their personalization algorithms and analytics.
The full stack reveals marketing-led organizations at mature growth stages with substantial online revenue at stake. These companies have moved beyond basic conversion optimization into sophisticated experience orchestration. The presence of Dynatrace Real User Monitoring indicates they're tracking performance metrics obsessively, distinguishing between human and bot behavior to get accurate customer insights. They've reached a scale where bot traffic creates real business problems including skewed analytics, inventory hoarding, account takeovers, and increased infrastructure costs.
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