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Individualizing the brand experience with customer data


Customer Data Platform

Deliver empathy to your customers by integrating & analyzing their engagement history.

Our Customer Data Platform connects marketing applications used thru out the customer journey. 
Discover unique profiles, segment, and drive real-time effective engagement.

Recognize Your Customers

Unified customer data. Easily manage your 1rst party data on a personal level. Gain context and preference knowledge so that our customer's brands seem understanding- a new essential in digital.

Engage in Micro Experiences

Retargeting is just the beginning.  Conduct more intimate Brand interactions when the right content is presented to the right person at the right time. Test and track alternative UX paths to find what works.

Keep Marketers in Control

No coding required.  Built for self-service, manage and handle customer data then execute on targeted lists- with just a few clicks. VIEWN can be set up and maintained with little to no need to involve IT.


Single customer view!

Audience solutions

Our audiences are customers of marketers. Our product reflects this. Profiles record customer touch points and let you adjust tactics based on the activity of the individual user.

Customer insight from behavior and preferences stored within these profiles supply marketers with essentials to craft content that inspires to specific groups.



Hyper targeted segments

Apply key segments to your customer base to go beyond demographics and build persona-based engagement which makes targeting more precise and effective.

To really know your customer, create multi-segments by filtering and selecting any category of demographics. Leverage the behavioral traits of your customers' to understand how they operate in their environment.


Smart Learning

Grow CLV over time

By layering analytics and feedback mechanisms throughout our platform, engagements are scored. From this information, continuous communication along the total lifecycle of the customer and be planned, executed and measured. Leverage multiple analytics dashboards and our AI features like auto-segmentation, customer deduping and natural language questions, which allow marketers to build technical reports themselves without having to them custom coded through a BI team.


Meaningful Campaigns

Targeting by personalization

Communicate to the right user based on their history, segment, and timing within the journey. Develop multiple lists by campaigns and/or marketing plays. With the ease of integration to multiple marketing automation tools, feeding the lists creates efficiency and effective engagement.


The Team

Areeya Lila

Founder & CEO

Areeya's expertise is in business strategy and growth. She has over a decade as a management consultant with PwC and Accenture where she defined and set up metrics to forecast and measure progress for clients including Bose, Whirlpool, and Mitsubishi. She possesses a BSME from Tufts and MBA from Georgetown.

Oscar Gonzalez

Creative Director

A product, UX, Visual and Interaction designer, a front-end dev, an information architect all rolled together to try, test, fail and repeat. Instead of just talking about how to solve a UX problem, he prefers building exploratory solutions to solve that problem. Passionate about the intersection of technology, art + design, and addicted to the thrill of creation. International Business Marketing/Advertising from Kennesaw State University

Millie Park

Marketplace & Marketing Advisor

Expert in marketplace marketing strategies. Experienced data-driven marketer with progressive responsibilities managing broad-reaching and hyper-targeted customer and account-facing programs. Proven track record of achieving results by implementing and using marketing technology to understand customer behavior and drive engagement from acquisition through retention.

Ricardo Vargas

Sales Advisor

Creative and results-driven Sales Executive with extensive experience in B2B technical sales within a wide range of industries. Proficient implementer of core sales skills including consultative selling, strategic planning, contract negotiation, margin optimization, customer relationship management, excellent communicator, as well as dependable performer with a global mindset to achieve and exceed revenue goals.

Fon Ouppariputtikul

Data Science

Developed processes and codes in R to cleanse and prepare data for machine learning solutions which were critical to marketing automation solutions. Bachelor of Engineering (B.E.) Computer Science from Chulalongkorn University Majored in Data Analysis and Software Engineering. Master of Science (M.S.) Computer Science from University of Missouri-Kansas City, Data Science certificate degree from Johns Hopkins University

Roberto Landrau

Product Advisor

Product visionary. Both a seasoned entrepreneur in software as well as a Big data and AI expert. With 20 years developing automation system for marketing and sales. With a BSCS in Robotics and Computer Science and an MBA in Technology Management. 
His passion is to free marketers from IT.

Dmitry Ulyanov

Technology Advisor

A knowledgeable and skilled technical leader focused on building development and software engineering teams that are empowered and engaged.  Extensive experience in retail and e-commerce. MA from New York University.


The Human Side of AI

We at VIEWN, believe that knowing more about your individual customer lets you interact with them more naturally and effectively. We want to humanize the customer's experience with business and technology, that is why we built our customer data platform specifically for marketers. We are passionate about customer experience, marketing big data and AI technology. We want marketers to orchestrate amazing customer journeys.

We believe in delivering empathy to your customers via AI, but how? Empathy as the ability to understand and `share the feelings of another`. If you could understand your customers and how they feel about your product/service, then you can better serve them with what they need by providing what they want. 

AI `understanding` is one part, is the part of the facts, the actions they took to engage with you. Then the `empathy` is the synthesis of the big picture of the customer as a whole and as an individual.

VIEWN can deliver `understanding` by descriptive analysis, and then deliver `empathy` by predictive and prescriptive analysis.