Using AI to transform customer data into growth.

Driving profitability and revenue for eCommerce brands with zero party data strategies and activation

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Who are PAASE?

We’re not an email agency, we’re your AI driven customer growth partner

PAASE office

A group of data junkies on a mission to turn zero-party data into real business results. We combine cutting-edge AI with decades of hands-on experience across SMBs and enterprise brands. 

Our team leverages advanced marketing automation tools to build smarter, more personalised journeys that drive engagement, retention, and revenue. 

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PAASE office

What your customers want you to know.

Zero-party data is data that a customer intentionally and proactively shares with a brand. Unlike other types of data (like third-party or even first-party data), zero-party data is freely offered by individuals, not inferred or collected without their direct input.

Zero-Party Data Characteristics

  • Explicitly provided by the customer.
  • Used to personalise experiences and offerings more accurately.
  • Typically collected through:

        • Surveys

        • Preference Centres

        • Product Quizzes

        • Forms or Conversational Pop-ups

        • Account Settings

Examples of Zero-Party Data

  • “I prefer red wine over white.”
  • “I want to receive emails only once a week.”
  • “I’m interested in vegan recipes.”
  • “My skin type is oily.”

This kind of data is not inferred from behaviour but directly stated by the user.

Why it Matters

With increasing privacy regulations (like GDPR and CCPA) and the decline of third-party cookies, marketers and businesses are shifting focus toward transparent, trust-based data collection. Zero-party data:

  • Improves personalisation without breaching trust.
  • Helps brands stay compliant.
  • Increases customer loyalty through relevance and respect for preferences.

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Unlock hidden value in your customer data.

What problems do we solve for brands?

  • Joining disparate data sources together to create a Single Customer View (SCV)
  • Unification of your tech stack and processes to create efficiencies
  • Helping you understand, map and improve your customer journey

How we improve profitability
and increase ROI

  • Help you identify which parts of your tech stack and apps are driving sales.
  • Identify which systems or tools are not performing as expected.)
  • Create efficiencies in process and deployment (sometimes less is more)

Channel optimisation for future success

  • Improve tech across marketing and sales channels for better performance.
  • Help teams use best practices and tools to boost efficiency and impact.
  • Align people, processes, and platforms for scalable, long-term success.

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The PAASE Model.

Efficiency.

Ensuring that your approach to marketing is built on the correct tech stack, is data led, working efficiently and tracking key metrics

Personalisation.

We deliver AI-driven personalisation by leveraging zero-party data and optimising every stage of the customer journey.

Profitability.

PAASE focus on profitable actions not just revenue generated (and let’s not get started on ESP attributed revenue) 

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Why global brands trust PAASE.

A structured approach growth

PAASE uses a structured Urgency-Impact framework to prioritise high-ROI, time-sensitive initiatives that deliver quick wins and free up budget for strategic growth.

We combine data-driven scoring with input from stakeholders to test ideas through small-batch experiments.

Lower-priority tasks are batched or deferred, ensuring focus stays on what drives the greatest impact.

Optimisation

At PAASE, optimisation underpins our retention marketing strategy.

We start with a discovery audit to benchmark performance and identify customer journey friction, then use segmentation, journey mapping, and A/B testing to build tailored email and SMS automations on platforms like Klaviyo and Mapp.

Real-time analytics and AI-driven content keep campaigns relevant and effective, boosting ROI and lifetime value through continuous improvement.

Long term partnerships

PAASE builds lasting client partnerships by aligning marketing strategy with business goals through a collaborative, KPI-driven approach.

We embed cross-functional teams to support strategy, execution, and analytics, while regular reviews, shared tools, and tailored training ensure transparency, knowledge transfer, and continuous optimisation.

Our focus on shared success drives sustainable, high-impact growth.

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How does our process work?

Leveraging AI

PAASE uses AI to elevate your marketing automation – turning customer data into real-time, hyper-personalised campaigns that drive engagement and conversions.

  • Predictive Segmentation – Group audiences by value, churn risk, or buying intent using AI clustering.
  • Dynamic Content – Auto-generate subject lines, recommendations, and messaging with NLG.
  • Real-Time Optimisation – Refine send times, channels, and creative using machine learning.

With PAASE’s AI-first approach, you save time, improve performance, and unlock smarter, scalable growth.

Email marketing efficiency

Email efficiency is central to PAASE’s automation strategy. We combine AI, segmentation, and real-time analytics to send the right message at the right time – boosting engagement.

  • Smarter Automation – Speed up deployment with pre-built workflows, and AI-personalised content.
  • Precision Targeting – Use behavioural and demographic data to segment audiences and focus on high-value customers.
  • Ongoing Optimisation – Real-time testing and analytics ensure every campaign evolves to maximise ROI.

Streamline your email strategy, cut costs, and grow revenue with PAASE’s smart automation.

Commercial Focus

PAASE ensures every campaign and tactic is aligned with ROI, revenue growth, and long-term profitability – linking marketing KPIs directly to your bottom line. 

  • Data-Backed Decisions – Forecast revenue impact and invest in the highest-yield channels.
  • ROI-Driven Testing – Launch small-scale A/B tests to validate revenue impact, reduce risk, and guide smarter scaling decisions.
  • Cross-Functional Collaboration – Align strategy, creative, and analytics to balance growth with margin.

Cross-Functional Collaboration – Align strategy, creative, and analytics to balance growth with margin.

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Case Studies.

Discover how PAASE helps brands unlock growth through data-driven marketing. From quick wins to long-term transformation, our case studies showcase real results, proven strategies, and measurable ROI across industries.

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PÄRLA

PÄRLA approached PAASE to assist in creating a more efficient marketing automation channel to drive additional ‘everyday revenue’.

Through an audit, PAASE identified key areas for growth and improvement in the automation channel.