BUILD USEFUL DATA AND TECHNOLOGY FOUNDATIONS

Data & Marketing

Technology

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We help businesses connect customer and marketing data, design practical MarTech architecture, integrate the systems that matter, and enable technology around real business use cases.

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The Technology Is There.

The Connection Often Isn’t.

CHALLENGES

Many businesses already have CRM, MarTech platforms, customer data, analytics tools, and dashboards.

The problem is that systems often operate separately, data cannot move cleanly between them,
and valuable features remain underused.

Customer Data Is Fragmented

Important customer information sits across platforms, making it difficult to create a consistent view or use the data across teams.

Tools Are Underused

Platforms are implemented, but teams only use a fraction of what they were built to do.

Systems Don’t Work Together

CRM, marketing, commerce, and data platforms exist, but the connections between them are incomplete or unreliable.

Technology Comes Before the Use Case

Businesses invest in platforms before defining the customer or marketing problem the technology needs to solve.

CAPABILITIES

What We Do

We assess what you already have, design what needs to connect, and build only what is necessary to enable real customer, marketing, and measurement use cases.

Marketing Data & Technology Assessment

Assess existing data, systems, processes, and technology to identify gaps, constraints, and what actually needs to change.

Data & MarTech Architecture

Design how customer, marketing, and business data should connect across platforms, systems, and teams.

Data Integration

Connect data from the relevant sources and platforms so it can be analyzed, activated, and measured consistently.

MarTech Implementation & Enablement

Implement and configure marketing technology around defined use cases and help teams adopt it effectively.

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Use Case First. Technology Second.

FRAMEWORK

Technology creates value when it is built around a clear business need.

We define what the business needs to enable first, then determine which data, architecture, integration, or platform is required to make it work.

  • What decision, journey, activation, or measurement use case needs to work?

  • What data is needed, where does it live, and how reliable is it?

  • Which systems must connect, and what architecture is necessary?

  • How will teams actually use, maintain, and scale the solution?

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OUTCOMES

A Foundation

Your Teams Can Actually Build On

Good data and technology infrastructure should make the business easier to operate, activate, measure, and scale.

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More Usable Customer Data

Make customer information easier to access, connect, and use across relevant teams and systems.

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More Reliable Measurement

Create cleaner, more consistent data flows for analytics and performance measurement.

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Less Operational Friction

Reduce duplicated work, disconnected processes, and manual handoffs between teams.

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Faster Activation

Reduce the manual work and technical dependency required to launch customer and marketing use cases.

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Better Use of Existing Technology

Get more value from platforms the business has already invested in.

Easier Scaling

Create foundations that can support additional channels, journeys, models, or use cases over time.

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Technology We Can Put to Work

WORK

We work with selected MarTech platforms to turn business use cases into real implementations

— from customer engagement and personalization to measurement and social intelligence.

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Crescendo Lab

LINE & Customer Engagement

Use cases:

  • LINE OA personalization

  • Customer segmentation

  • Automated journeys

  • Trigger-based messaging

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Insider One

Personalization & Journey Orchestration

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Use cases:

  • Cross-channel customer journeys

  • Personalized web/app experiences

  • Recommendation and next-best-action use cases

  • Triggered engagement

Zocial Eye

Social Listening & Consumer Intelligence

Use cases:

  • Brand and campaign monitoring

  • Consumer conversation analysis

  • Sentiment and topic insights

  • Competitor monitoring

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Use cases:

  • Mobile attribution

  • Cross-channel measurement

  • Campaign performance measurement

  • Re-engagement measurement

AppsFlyer

Marketing Measurement & Attribution

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Customer Behavior Analysis

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Customer Growth

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Customer Retention & Churn

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Basket Uplift & Cross-Sell

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Customer Reactivation

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Campaign Optimization

Customer Behavior Analysis 〰️ Customer Growth 〰️ Customer Retention & Churn 〰️ Basket Uplift & Cross-Sell 〰️ Customer Reactivation 〰️ Campaign Optimization

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Build Technology Around

What the Business Needs to Do.

Tell us what customer, marketing, or measurement use case you are trying to enable.

We’ll help determine what data, systems, and architecture are actually required to make it work.

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