List of LiftIgniter Customers
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Since 2010, our global team of researchers has been studying LiftIgniter customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased LiftIgniter for Personalization and Product Recommendations from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using LiftIgniter for Personalization and Product Recommendations include: GQ India, a India based Media organisation with 250 employees and revenues of $120.0 million, Kiro 7, a United States based Media organisation with 175 employees and revenues of $40.0 million, Facet Wealth, a United States based Insurance organisation with 300 employees and revenues of $35.0 million, Eros Now India, a India based Media organisation with 65 employees and revenues of $34.0 million, MyFOX8, a United States based Media organisation with 120 employees and revenues of $25.0 million and many others.
Contact us if you need a completed and verified list of companies using LiftIgniter, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The LiftIgniter customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Arts | Media | 22 | $3M | United States | LiftIgniter | LiftIgniter | Personalization and Product Recommendations | 2018 | n/a |
In 2018, Arts implemented LiftIgniter to deliver site personalization and recommendations using the Personalization and Product Recommendations category. The LiftIgniter deployment focused on on-site integration, embedding recommendation widgets and contextual content ranking across the company website, with client side event capture and server side scoring to support real-time personalized content and product suggestions. Implementation prioritized lightweight instrumentation compatible with a small technology footprint given Arts has 22 employees and a single primary website presence.
The implementation leveraged core personalization capabilities of LiftIgniter including real-time recommendation engine behavior, content ranking, and behavioral profiling to drive tailored content and product suggestion flows. Operational ownership rested with marketing and e-commerce functions, which managed rule sets, content feeds, and iterative model tuning as part of a phased rollout approach. Governance emphasized simple change control for recommendation rules and configuration, aligning personalization outputs to site content and commerce pages without replacing or referencing a named prior system.
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Bitcoin Magazine | Media | 50 | $5M | United States | LiftIgniter | LiftIgniter | Personalization and Product Recommendations | 2021 | n/a |
In 2021, Bitcoin Magazine deployed LiftIgniter on its website as a live personalization layer. LiftIgniter is implemented as the Personalization and Product Recommendations solution to serve contextual content and product suggestions across site pages and article templates.
The implementation centers on LiftIgniter's recommendation engine and real time inference APIs, configured to surface article level and related content recommendations. Configuration includes placement of recommendation widgets within editorial templates, event tracking for user behavior signals, and rule based editorial overrides to prioritize specific content for campaigns.
Integrations focus on the website content stack and analytics event stream, enabling recommendation feeds to be driven by on page signals and content metadata. Operational coverage spans editorial workflows and audience engagement functions, with recommendations applied to article pages, homepage modules, and archive listings to support reader discovery and content consumption.
Governance was structured around editorial controls and iterative rollout, using taxonomy driven tagging and experimentation to tune recommendation logic. LiftIgniter's deployment emphasizes managed configuration and site side orchestration rather than broad platform reengineering, keeping changes scoped to front end templates and tracking instrumentation.
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Boss Hunting | Media | 10 | $1M | Australia | LiftIgniter | LiftIgniter | Personalization and Product Recommendations | 2018 | n/a |
In 2018, Boss Hunting implemented LiftIgniter to provide onsite personalization and recommendation capabilities. LiftIgniter is deployed as the site's Personalization and Product Recommendations solution, addressing content recommendation workflows for the Australian media publisher.
The implementation uses LiftIgniter to deliver real-time behavioral recommendations and content recommendation widgets embedded in article and listing pages. Functional modules configured include recommendation model tuning, event capture for clickstream and pageview signals, editorial control panels for placement and frequency configuration, and API-driven content feed ingestion to keep article metadata in sync with the recommendation engine.
Operational coverage is limited to the Boss Hunting website, supporting editorial, audience development, and advertising monetization functions. Governance is organized around a small cross-functional team from editorial and web development, with staged widget rollout across page templates and editorial overrides to manage recommendation behavior and placement.
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Retail | 10 | $1M | Hong Kong | LiftIgniter | LiftIgniter | Personalization and Product Recommendations | 2019 | n/a |
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Professional Services | 10 | $1M | Malaysia | LiftIgniter | LiftIgniter | Personalization and Product Recommendations | 2019 | n/a |
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Retail | 10 | $1M | Philippines | LiftIgniter | LiftIgniter | Personalization and Product Recommendations | 2019 | n/a |
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Media | 65 | $34M | India | LiftIgniter | LiftIgniter | Personalization and Product Recommendations | 2016 | n/a |
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Insurance | 300 | $35M | United States | LiftIgniter | LiftIgniter | Personalization and Product Recommendations | 2017 | n/a |
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Retail | 19 | $1M | South Africa | LiftIgniter | LiftIgniter | Personalization and Product Recommendations | 2018 | n/a |
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Media | 10 | $1M | United States | LiftIgniter | LiftIgniter | Personalization and Product Recommendations | 2018 | n/a |
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Buyer Intent: Companies Evaluating LiftIgniter
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