top of page

Our DIGITAL & ECOSYSTEM practice evaluates every big idea and every set of data we come

across when building a relevant and resonant brand experience.


We only market the brands and products we believe in. We develop a set of customer-centric marketing strategies and utilize the latest technologies to launch your digital ventures. Our goal is to increase digital engagement and sales conversion from your customers.  We leverage social networks (Meta, Facebook, TikTok, YouTube, Instagram, Google) and martech vendors (Salesforce, Oracle, HubSpot) to expand brand awareness with increased engagements and conversion,  develop sales enablement tools, and promote brand loyalty. 

Strategy & Marketing
Screen Shot 2021-01-30 at 1.56.54 PM.png
Screen Shot 2021-01-30 at 1.57.07 PM.png

Developing Disruptive Strategies to Build and Launch Digital Ventures.


Sustaining disruptive strategies have been responsible for the rise web 2.0 ecosystem. Executable strategies meeting a variety of business objectives range from driving sales conversion, increasing product acceptance, establishing brand equity to dominating the global market.  Web 3.0 will be driven by advancements in prescriptive data analytics, AI, blockchain, and the demanding generations Z and A.


We develop strategic plans in building apps, platforms, and eco-systems based on product-market fit. Weaving together multiple disciplines ranging from macroeconomic trends, predictive and prescriptive analysis, SWOT, business feasibility to technology development, we build a comprehensive digital product roadmap and product marketing plan. 



Creating A Digital Product Experience to Fulfill Product Market Fit During MVP Stage


Great products are like great people: they are doing exactly what they want to do. Know your core target audience, and keep the focus narrow.  If you know your core, you can develop services and products they adore, and you can talk to them in a voice they relate to.  When they identify with your product and make a personal connection with what your brand and product stand for, only then, they’ll evangelize your brand and product.  We achieve this by developing a set of cognitive, customer-based, strategic, and practical processes by which design concepts are developed to identify a proposed product's unique feature set to reach product-market fit with assumption, validation, and scalability. 

Famously by Marc Andreessen defining product-market fit: "The customers are buying the product just as fast as you can make it — or usage is growing just as fast as you can add more servers. Money from customers is piling up in your company checking account. You're hiring sales and customer support staff as fast as you can." In order to achieve this, obsess with customers and lead them.

In a good market, an MVP is all you need to get your initial customers offering the feedback that will inform future enhancements. However, the market and the competitive landscape evolves at a much speed with the rise of artificial intelligence and machine learning in predicting and shaping the market's supply and demand. 


Finding a good product-market fit to choose a market where users have a set of real and evolving needs and wants — launch comprehensively and quickly, and listen to your users — be customer-obsessed, listen to them, act on their behalf and lead the industry.


Customer Obsession: Emotional Branding

While most of the product marketing effort focuses on tasks like giving product demos in tradeshows and creating marketing collaterals and white papers — it often lacks to integrate the emotional side of a product’s brand equity.

Customer Obsession: Ethnographic Studies

We study people in their own environment through the use of methods such as participant observation and face-to-face interviewing to understand their daily lives and activities. This process provides a fundamental understanding of our target audience's needs and wants in order to build better products. 

Customer Obsession: Go Beyond the "Needs" and Create "Wants" in Digital Product 

While most of the product marketing effort focuses on tasks like giving product demos in trade shows and creating marketing collaterals and white papers — it often lacks to integrate the emotional side of a product’s brand equity.


Consumers who want your product will crush your competitors who are just providing a need. Products that carry no emotional connections lack competitive advantage, other than perhaps in their price points.  They can be replaced overnight because there isn’t any consumer loyalty involved. So, go beyond the “needs”, create “wants”, and start the process before the birth of your product. Listen to your consumer & your employee by folding consumer and employee feedback into your brand and target definitions.

Track their behaviors where privacy laws allow.  Study their demographics — you should be set up to dip into your audience base at any given moment to get a glance at who they are, how they’re changing, and how their needs are evolving.


Scroll Down

Screen Shot 2021-01-30 at 3.32.39 PM.png

Develop Product Marketing Plan Utilizing Competitive Intelligence and Macroeconomic Trends.


Identify the Buyer Personas and Target Audience.

Develop the buyer personas and messaging architecture for your product so you can target customers in a way that’s convincing and fulfilling their needs and wants from your product offerings. This will allow you to tailor your product and its features to solve for the challenges your audience is facing.


Determine Product Positioning and Pricing.

Develop the product’s pricing and promotional plan for specific geographic locations — this could be a form of storytelling localized for each culture in its native language.  Working with the digital product and sales team to formulate this story by addressing how the product meets the needs of the consumers.


Develop Sales Enablement Tools.

Engage the right customers to achieve product-market fit and provide sales enablement materials to the global sales team. This is to ensure they understand the product with all of its features inconsistent with a brand guideline reflecting the product's brand identity, values, and messaging, enabling the sales team to provide a consistent, on-brand experience for anyone who comes in contact with the product.


Choreograph the Customer Journey.

Delight your customers to build awareness, increase engagement and convert sales transaction throughout each product touchpoints including website, app, eCommerce, social media, ad, video, customer review, trade show, press release, and experiential opportunities.  Enable experiences for customers across their end-to-end journeys with a touch of individualization when possible.


Keep Product Relevant Over Time.

The product needs to stay relevant over time addressing changes in consumer behaviors and the competitive landscape. As needs, expectations, and challenges change and evolve, we make sure your product marketing strategy, and the product's features remain relevant among customers. We achieve this by influencing the product roadmap with the digital product team. 


Marketing and Prescriptive Data Analytics in the Age of AI, Machine Learning, and Blockchain.


It’s all about data, the interpretation of it, and the business decisions that follow after. A deep and thorough analysis of large quantities of data across specific regions or demographics is required to extract information and transform them into insights for understanding consumer behaviors and purchasing patterns.  Trust enables marketers to target effectively.

For C-suite executives, traditional decision tree models used in descriptive and predictive analysis lack a level of performance (accuracy and interpretability) required by modern business today as they are too many variables and outliers that need "Monte Carlo Simulations."  With outlier events, i.e., COVID-19 pandemic, carbon neutrality requirements, cryptocurrencies, corporations could use prescriptive analysis enabling multiple submodels with probabilities in order to advise possible outcomes. Prescriptive analysis' optimal tree model can create more accuracy and interpretability in being more applicable across various scenarios for global businesses.

bottom of page