Companies that use Liveperson

Source: Analysis of job postings that mention Liveperson (using the Bloomberry Jobs API)

I noticed that LivePerson is purchased primarily by senior leaders in Customer Experience, Contact Center Operations, and Digital Transformation roles. The buyers include Contact Center Technology Directors, Directors of Product Management for digital engagement, and VP-level Customer Operations executives. These leaders are focused on strategic priorities like modernizing legacy contact center infrastructure, implementing omnichannel communication strategies, and integrating AI-powered automation to reduce operational costs while improving customer satisfaction.

The day-to-day users span a wide range of practitioners. I found Workforce Managers using LivePerson for forecasting and capacity planning across messaging channels, Product Specialists designing conversational flows and optimizing chatbot experiences, and Customer Service Supervisors monitoring performance metrics and coaching teams. Backend engineers and full-stack developers maintain integrations, build custom features, and ensure platform reliability. Data analysts track KPIs like conversion rates, CSAT scores, and response times to drive continuous improvement.

The job descriptions reveal companies are trying to solve specific pain points around cost and experience. Multiple postings mention goals like "reduce operational costs while enhance customer experiences," "transform contact centres" with "AI-powered orchestration," and deliver "seamless, responsive customer and sales experiences." Organizations want to "optimize demand, capacity and customer experience across digital channels" while "resolving up to 80% of routine customer service inquiries" through automation. The emphasis is clearly on scaling support efficiently without sacrificing quality.

Source: Analysis of Linkedin bios of 432 companies that use Liveperson

I noticed that LivePerson's customers are predominantly consumer-facing companies that need to manage high volumes of direct customer interactions. These aren't B2B software companies or niche manufacturers. They're retailers (True Religion, Piercing Pagoda, Discount Tire), financial services providers (banks, credit unions, insurance companies), telecommunications operators (Yoigo, Jazztel, MASMOVIL), automotive dealerships, utilities, and healthcare organizations. They sell products or services directly to everyday consumers who expect immediate answers and support.

These are clearly mature, established enterprises. The employee counts are telling: most have 200+ employees, many exceed 1,000, and several are massive with 10,000+. Companies mention decades of operation (Mutual of Omaha since 1909, ANZ with "180 years," Hang Seng Bank from 1933). Very few show venture funding, and when they do, it's often older rounds. These aren't startups figuring out product-market fit. They're institutions managing scale.

Source: Analysis of tech stacks from 432 companies that use Liveperson

I noticed that Liveperson customers are predominantly large-scale e-commerce and digital retail companies with sophisticated customer experience operations. The presence of tools like Power Reviews, Sift (fraud detection), and Posh.ai (conversational AI) tells me these are high-volume consumer businesses that need to manage thousands of customer interactions while protecting against fraud and managing reputation at scale.

The pairing of Liveperson with Sift is particularly revealing. These companies are processing enough transactions that fraud prevention becomes mission-critical, which means they're operating substantial e-commerce platforms. Power Reviews appearing alongside Liveperson suggests they're managing customer feedback across the entire journey, from pre-purchase questions through post-purchase reviews. Tealium CDP's strong correlation shows these companies are unifying customer data across multiple touchpoints, which makes sense when you're trying to provide consistent conversational experiences whether someone is chatting on your website, mobile app, or through messaging. The combination suggests they're trying to personalize conversations based on browsing behavior, purchase history, and other signals.

My analysis shows these are marketing-led organizations with mature digital operations. The presence of Skai (formerly Kenshoo) for paid search and commerce advertising, combined with Akamai MPulse for performance monitoring, indicates they're spending heavily on customer acquisition and obsessing over site speed and conversion optimization. These aren't scrappy startups. They're likely established retailers or direct-to-consumer brands at growth or maturity stage with dedicated teams for customer experience, fraud prevention, and performance optimization.