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Retail &
E- Commerce

Supercharging marketing and CX teams to turn data into personalised journeys, stronger loyalty, and measurable revenue across every channel

As customer expectations soar in the retail and eCommerce space, brands can no longer make decisions without data. Those leading the way are using data and insights to move faster, serve smarter, and connect more meaningfully with their audiences.

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From Clicks to Conversations
Customer journeys are no longer linear. With touchpoints across apps, emails, websites, and physical stores, understanding behaviour in real time is critical. Data gives retailers the power to track, interpret, and act on those behaviours—whether it's identifying when a shopper is likely to abandon their cart or predicting which products to recommend next.

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Personalisation at Scale
Today’s consumers expect more than convenience—they expect relevance. By analysing purchase history, browsing patterns, and engagement signals, marketing and CX teams can deliver personalised content, promotions, and experiences that build loyalty and drive conversions.

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Smarter Inventory and Merchandising
Retailers are using insights to forecast demand more accurately, reduce overstock and stockouts, and fine-tune their product strategies. With data, merchandising becomes proactive, not reactive.

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Turning Insight into Action
It’s not just about collecting data—it’s about making it actionable. Dashboards, predictive analytics, and AI tools are helping brands make faster, more confident decisions across marketing, operations, and customer service.

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The Bottom Line
Data isn’t just transforming how retailers sell—it’s changing how they serve. In a digital-first world, insight-driven retail is no longer a nice-to-have—it’s a competitive necessity.

From Fragmented to Future-Ready

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How we can help

At Dataframe, we specialise in helping retail and eCommerce companies turn their data into a strategic asset—one that drives better decisions, enhances customer experience, and supports sustainable growth.

 

With extensive experience leading data and digital transformation programmes across global retail brands, we go beyond quick fixes to build long-term capability.

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We work closely with CIOs, CTOs, CMOs, and teams across marketing, customer insights, sales, and digital operations to create a 360-degree view of both the customer and the product lifecycle. This holistic approach ensures data flows across departments, insights are consistent and trusted, and teams are aligned on what success looks like.

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Laying the Foundations for Smarter Retail

​We help retail and eCommerce businesses move from fragmented, legacy systems to secure, cloud-based data platforms that are built to scale. Our focus is not just on technology, but on making data structured, governed, and ready to use—so teams can trust the insights they rely on.

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Turning Data into Connected Insight

​Retail generates huge volumes of data—from customer journeys to product performance. We bring it all together with clear, intuitive dashboards that break down silos and deliver meaningful insights. Whether it's personalising experiences, optimising merchandising, or tracking campaign performance, we help teams act faster and with greater confidence.

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Building Data Strategies that Drive Growth

We work with you to define a clear data strategy—aligning insight to your commercial goals and enabling long-term value. From DTC growth to omni channel optimisation, we guide your roadmap and help explore AI and automation opportunities to stay competitive.

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Why It Matters

Success in retail today isn’t just about selling products—it’s about understanding customers deeply and responding with speed. Dataframe helps you unlock that capability, turning data into a true driver of customer experience, innovation, and growth.

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Let's start with a conversation

Let's Explore

We offer a free 2-hour online workshop designed specifically for teams in retail and eCommerce. In this interactive session, we’ll work with you to:

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  • Uncover current data and reporting challenges across customer journeys, product performance, marketing, and sales

  • Review your existing metrics—from conversion rates and campaign ROI to inventory and customer retention—and highlight areas for improvement

  • Identify opportunities to streamline reporting, break down data silos, and make insights more actionable across your organisation

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After the session, you’ll receive a short, tailored proposal outlining how we can help you gain greater visibility, faster decisions, and measurable impact from your data.

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Ready to turn your retail and eCommerce data into a growth-driving asset?

From Data to Delight: Igniting Shopper Engagement with Smart Insights

1

Customer Segmentation

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Behavioural Insights

Group customers by behaviour, value, and engagement to power targeted marketing and experience strategies.

 

Impact​

 

Enables precise targeting and personalised campaigns

Increases retention and repeat purchase rates

Helps identify high-value customer groups

2

Adjust prices in real time using demand trends, inventory levels, and competitor activity.

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Impact

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Maximises profit margins without losing competitiveness

Respond to market shifts quickly

Improves sell-through and reduces markdowns

Dynamic Pricing

Optimisation

3

Monitor marketing effectiveness across channels in real time.

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Impact

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Boosts revenue and improves cash flow forecasting.

Informs more effective sales campaigns and discount timing.

Campaign Performance

Analytics

4

Use historical trends, weather, local events, and promotions to predict in-store footfall under different scenarios.

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Impact

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Optimises staffing levels and store readiness

Increases conversion by aligning resources to expected demand

Supports better localised marketing and campaign timing

Footfall Forecasting

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Store Traffic

Modelling

5

Monitor member engagement, renewals, and rewards to identify what drives retention and optimise your programme’s value.

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Impact

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Increases retention through proactive, data-led engagement

Optimises benefits by focusing on what members actually use

Drives recurring revenue with better renewal and upsell strategies

Customer Journey

Impact Modelling

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Identify frequently paired products to optimise cross-sell strategies, personalise offers, and increase basket size across channels.

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Impact

Increases basket size with timely, relevant add-on suggestions

Enhances personalisation using real customer purchase patterns

Drives category growth by highlighting complementary products and hidden pairings

Product Affinity

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Cross-Sell Insights

The Dataframe Logo

Chester Business Park, Heronsway, Chester CH4 9QR

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0333 242 1445

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