Case Study
Data
Data built for an integrated, AI-driven world
Power Industry-leading Agents & AI with the Right Data
Your Agentic workflows and AI innovation are only as good as the data they’re built on. We get more out of your brand's existing data with fast, purpose-built data services, solutions and consulting; built for long-term AI growth.
Data and Measurement That Actually Drives Impact
From license resale, to never-been-done-before customer insights, to roadmapping the next 5 years: our Data capabilities are built around driving value. Start unlocking deeper connections and insights that give meaningful next steps with more clarity and less dashboard management.
Supporting last-mile activation.
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Solutions
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Solutions
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Data Strategy & Advisory
Built for every use case.
Built for every use case. Ensure the organizational setup and processes support your overarching marketing strategy.
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Digital Experience Optimization
Use AI to improve CX at lightspeed.
Pinpoint customer needs to boost retention, loyalty, and profitability through strategic experimentation.
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Transformation
Put data at your fingertips.
Put data at your fingertips. Architecture and engineering focused making data readily accessible for those who need it.
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Data Privacy & Governance
Develop and adhere to marketing standards.
Develop and adhere to marketing standards. Enable successful activation and measurement designed for today's landscape.
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Measurement
Full-funnel measurement, from platform to MMM.
Measurement strategy and implementation that connects performance signals across the funnel.
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CRM
Build lasting, one-to-one customer relationships.
Build lasting, one-to-one customer relationships. Convert, retain and reactivate customers across the full lifecycle.
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Analytics
Granular behavioral insights.
Granular behavioral insights. We improve tracking efficiencies to help brands understand their customers more precisely.
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Data Decisioning
Bridge the gap between insight and action.
Bridge the gap between insight and action. We'll help you unlock the value of your data.
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Consumer Insights & Activation
Put your data to work.
Put your data to work. Surface insights and drive activation through predictive models and data science.
Leveraging AI to boost customer lifetime value
Our practice and approach.
We’re not here to add to your tech debt. The consumer mindset has changed and we are adapting with that change. We build durable, scalable solutions that meet the needs of complex enterprises to advance your data maturity and drive top line and bottom line impact to your business.
We’ve helped clients better understand and connect with their customers by:
Results
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Transforming digital ad measurement, connecting online and offline sales
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Implementing privacy-first site tagging
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Streamlining cross-network campaign optimization
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Building customized, business intelligence solutions to surface audience and campaign insights
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Automating audience generation, campaign trafficking and tagging
Data not only serves as the ideal foundation for AI & agentic innovation, but is the key last mile of enhancing media effectiveness and optimizing every part of the marketing stack.
Want to talk data? Get in touch.
FAQs
Your data questions answered to unlock insights at scale
What does a data and analytics agency do for a marketing team?
A data and analytics agency equips marketing teams with decision infrastructure that connects audience signals, creative performance, and commercial revenue in real time. Rather than delivering retroactive dashboards or quarterly post-mortems, Monks builds owned enterprise data foundations that clients control outright. We unite a Global Reporting Suite for unified measurement with an Experimentation Engine housing Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) to convert raw metrics into decisive business action. This shifts marketing organizations from siloed reporting into an adaptive intelligence system that gets sharper with every campaign.
How do you unify customer data across regions and systems?
We unify customer data across regions and systems by architecting an interoperable data layer directly inside your existing cloud tech stack. Our framework maps disparate inputs—including first-party customer data, regional sales records, and licensed market inputs—into a standardized data model without requiring costly system migrations. For global media activation, cookieless unified attribution aligns walled gardens under a consistent, cross-market measurement standard. This architecture delivers consistent regional benchmarking while preserving local operational agility.
How do you apply AI to our data without giving up ownership, privacy, or control?
We apply AI to your enterprise data without compromising ownership, privacy, or control by deploying warehouse-native models directly inside your private cloud environment. Your customer data never leaves your environment, is never used to train third-party models, and is protected through row-level security and automated PII masking. All custom models, feature stores, metric definitions, and semantic layers remain 100% client property and fully portable. Machine learning powers predictive discovery while causal estimation remains deterministic and auditable, ensuring complete transparency behind every budget recommendation.
How do you connect marketing data to business outcomes?
We connect marketing data to business outcomes using an integrated Experimentation Engine that measures the causal revenue impact of every marketing dollar. By combining MMM, MTA, and structured incrementality testing, we isolate marketing's direct contribution to bottom-line growth. These causal measurements feed directly into executive business KPIs rather than remaining trapped inside static dashboards. This turns retrospective performance analysis into a predictive input for ongoing budget allocation.
What do the first 90 days of a data engagement look like?
The first 90 days of a data engagement focus on auditing existing infrastructure, establishing unified data pipelines, and launching live incrementality testing. Days 1 through 30 center on auditing data assets, resolving silos, establishing governance, and aligning compliance requirements across regions. By day 60, we stand up your unified data foundations and configure the Global Reporting Suite to bring cross-platform attribution into one place. Between days 60 and 90, Monks IQ deploys, baseline MMM and MTA models go live, and initial Experimentation Engine tests activate in-market.