The marketing intelligence layer that connects every channel, customer, and dollar.

Most marketing platforms collect data and measure performance. OneSix builds the layer that turns it into action: the next decision, the next campaign, the next dollar.

A Next Best Action solution that unifies Customer 360 data, trains and serves recommendation models, and streams live recommendations to a dashboard.

CHALLENGES

What we typically see

Off-the-shelf tools that don't fit the complexities of your business

Franchise hierarchies, multi-brand portfolios, regional rollups, and partner channels rarely map cleanly into generic marketing platforms. The result: unreliable reporting and tools the team routinely bypasses.

Measurement that explains the past but doesn't guide what's next

Attribution and dashboards explain what has already happened. They do not direct who to engage next, when to engage, what to offer, or where to shift spend. Marketing investment ends up justified, not optimized.

Marketing teams bottlenecked by analytics queues

When every question routes through the data team, decisions slow and opportunities pass. Marketing requires direct, governed access to its own data and the capacity to act on it without delay.

Customer data fragmented across platforms

CRM, marketing automation, web and product analytics, ad platforms, ecommerce, loyalty, and offline systems each hold a fragment of the customer. Unifying them for a complete view requires manual reconciliation that slows campaigns, undermines personalization, and leaves segmentation built on incomplete data.

CAPABILITIES

How we help

Most marketing platforms collect and measure data. We build the systems that turn it into action: who to engage, when, with what, and where to spend next. Our expertise across artificial intelligence, data science, and machine learning is applied in environments where data is fragmented, business models are complex, and the cost of slow execution is material.

Data & AI Strategy

Identify the highest-return marketing use cases across acquisition, retention, and growth, and architect a prioritized roadmap

Governance Blueprint

Design the customer data ownership, consent, and access framework required to make marketing data trustworthy and compliant

Data Foundations

Unify CRM, marketing automation, web, product, ad platform, and offline data into a centralized customer platform engineered for production reliability

Analytics

Real-time visibility into campaign performance, customer behavior, and channel return, configured to the structure of your business

Artificial Intelligence

Deploy propensity models, churn prediction, next best action, marketing mix modeling, and bespoke customer segmentation

Governance Programs

Automate data quality monitoring, consent enforcement, and policy compliance across your customer data environment

Operating Partnership

A dedicated OneSix team embedded for continuous delivery across marketing workstreams

"There are such incredible ways to leverage first- and third-party data to derive really interesting insights about your customers and make more accurate predictions in terms of how you should allocate your marketing resources."

Jacob Zweig
Managing Director, AI

Use Cases

Solutions built for marketing teams

Use Case

Customer 360
What it does
A unified, real-time view of each customer across systems and channels, providing the foundation for segmentation, lifecycle analysis, and lifetime value modeling.
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Use Case

Next Best Action
What it does
Models that recommend the right offer, message, or engagement for each customer at the right moment, refined by every interaction.
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Use Case

Buyer Propensity
What it does
Predictive scoring that identifies the prospects and customers most likely to convert or expand, so investment goes where return is highest.
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Use Case

Churn Prediction
What it does
Early identification of at-risk customers, surfacing the drivers and triggers behind the risk so teams can intervene before they leave.
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Use Case

Marketing Effectiveness
What it does
Media mix modeling, multi-touch attribution, and campaign intelligence that tie marketing activity to revenue and optimize spend across channels.
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Use Case

Marketing Agents
What it does
Agentic systems that support proposal generation, RFP analysis, content production workflows, and other repeatable marketing tasks.
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Proof & Perspective

From the field

Innovative thinking. Real outcomes.

Marketing

Connecting patient, prescriber, and payer data across the therapy journey

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View Case Study

Marketing

Saving 4-6 hours per proposal with a marketing AI copilot

View Case Study

Marketing

Microsoft Copilot + Snowflake Cortex Agents: The Best of Both Worlds

Read Article

Marketing

Snowflake Intelligence in Action: Predicting Customer Churn

Read Article

FAQs

Questions we hear

How is OneSix different from the marketing platforms we already use?

Most marketing platforms collect and measure. We engineer on top of that: integrating existing tools, modeling the structure of the business, and adding the AI layer that converts data into decisions. Custom integration and custom visualization are where generic platforms fail, particularly for franchise hierarchies, multi-brand portfolios, and other structurally complex organizations.

Do we need to replace our existing martech stack?

No. We architect around the environment in place and make recommendations based on what is working, what is absent, and where the highest-return gaps exist. The objective is to extract more from existing investment, not to add another platform to operate.

Our customer data is messy. Is that a problem?

It's the norm, not the exception. Fragmented systems, inconsistent identifiers, and incomplete data are why most marketing AI initiatives stall. OneSix treats integration and data quality as part of the engagement, not a prerequisite for it. Many marketing engagements combine Data Foundations and Artificial Intelligence into a single coordinated workstream.

How long before this delivers measurable impact?

Foundational work and a first production use case typically deliver inside ninety days. Full transformation across multiple use cases is a multi-quarter engagement. The cadence is set during scoping and validated against your roadmap.