List of RainMaker AI Customers
La Jolla, 9203, Ca,
United States
Since 2010, our global team of researchers has been studying RainMaker AI 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 RainMaker AI for Lead Generation 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 RainMaker AI for Lead Generation include: Surecom, a United States based Professional Services organisation with 10 employees and revenues of $1.0 million, RainMakerAI, a United States based Professional Services organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using RainMaker AI, 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 RainMaker AI 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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RainMakerAI | Professional Services | 10 | $1M | United States | RainMaker AI | RainMaker AI | Lead Generation | 2022 | n/a |
In 2022, RainMakerAI implemented RainMaker AI for Lead Generation on its public website. The deployment uses an embedded website widget to capture visitor interactions and route inbound interest to the company, enabling core Lead Generation workflows without back-end platform replacement. RainMaker AI is provisioned to collect contact data, qualify intent through conversational prompts, and tag leads for downstream handling by commercial teams.
Configuration focused on web-facing lead capture forms, conversational qualification flows, and lead tagging for routing, reflecting typical Lead Generation functional modules. Operational ownership is centered in marketing for configuration and monitoring, with sales responsible for qualification and follow-up, and the rollout targeted at the corporate site rather than multiple domains. Governance was lightweight and iterative, using staged configuration updates and monitoring of capture accuracy to refine qualification rules.
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Surecom | Professional Services | 10 | $1M | United States | RainMaker AI | RainMaker AI | Lead Generation | 2023 | n/a |
In 2023, Surecom implemented RainMaker AI on its public website to support Lead Generation for sales and marketing functions. The deployment centers on embedding RainMaker AI as the primary web facing lead capture touchpoint for the company.
RainMaker AI is provisioned as a cloud hosted SaaS widget embedded into pages of the Surecom website. Configured capabilities include AI driven conversational lead capture, automated qualification flows, form augmentation to reduce friction, capture of contact data and conversation transcripts, and options for lead routing or export. The configuration reflects a lightweight, website first architecture appropriate to a small professional services firm of this size.
Operational ownership is scoped to Surecom marketing and sales teams in the United States, with a single site rollout that consolidates inbound lead capture. Governance emphasizes lead assignment procedures, standardized qualification scripts, consent capture on web forms, and routine monitoring and tuning of conversational models by internal stakeholders.
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