top of page

CLIENT CASE STUDY

Piglet in Bed

Piglet in Bed is the home of natural comfort. Founded in 2017, it’s on an exciting journey with ever-expanding ranges and channels. Better data is a key enabler. Datitude’s data solution provides Piglet in Bed with a master view of all its data, plus rich BI and analytics to make better informed decisions.

icon-bulb.png

INDUSTRY SECTOR

RETAIL

Datitude-icon-data.png

DATITUDE SOLUTION

DATA INTEGRATION, DATA ANALYTICS & DIRECT MAIL SOLUTION

3339052_business tools_passing_time_alarm_schedule_icon.png

CLIENT FROM

2021

THE PROJECT

Piglet in Bed’s journey is an exciting one. Starting out from scratch in 2017, it is an inspiring success story with an ever-expanding range of beautiful linen that gets softer and softer with wear. It’s the home of natural comfort!

 

Piglet in Bed's impressive growth meant it was experiencing numerous data challenges, which in turn was creating issues with data accuracy, timeliness, and performance. Like many high-growth DTC businesses with ambitious plans to scale up to become an omnichannel retailer, Piglet in Bed recognised it was time to invest in a data platform and data lakehouse solution to create a master view of all its data and facilitate visualisations with easily actionable insights.

 

Datitude’s data lakehouse solution quickly and easily integrated data from Piglet in Bed’s source systems including ERP, ecommerce, performance marketing, email service provider, loyalty rewards programme, Adwords, Facebook and web analytics, meaning the team were up and running on the platform in a matter of weeks.

 

A two-phased approach to implementation was agreed to support the need to go live quickly with the core systems integration (for which we have standard integrations), whilst ensuring minimal risk and input from Piglet in Bed. 


Additional integrations aligned to Piglet in Bed’s expansion into new channels formed part of a second phase, including pulling in additional data sets and enriching data models to further enhance its analytics and reporting capabilities.

 

The Piglet in Bed team accesses the data platform through two front ends; Tableau for a retail-focused suite of analytics out-of-the-box, and Datitude’s browser-based proprietary Application to fulfil any data analytics needs outside of a BI front end, including Datitude’s Excel Add-in.


Piglet in Bed has also revolutionised how it builds, analyses and manages its direct mail (DM) campaigns using Datitude's DM solution.

TESTIMONIAL

"Being able to access and use our data effectively is crucial - from understanding customer behaviour across all channels to informing customer acquisition and retention strategies, to better forecasting supply and demand. Datitude's technology, data and omnichannel expertise has transformed our data capabilities and fundamentally changed how we work."


"Datitude's direct mail (DM) solution has revolutionised how we build, analyse and improve our DM campaigns. I continue to be blown away by the insights available, and our results! There's no doubt Datitude's DM solution is supercharging our marketing: getting visibility of results in real-time and knowing the incrementality of each campaign is game-changing. It's market-leading and many of my industry peers are in awe!"


"We’ve been really impressed with Datitude and the team. Based on our experience, there’s nothing quite like the solution Datitude offers. We loved it when you said little interaction would be needed from our side for the core system integrations and you guys really meant it! The involvement needed to get set up is minimal and the server-less architecture makes things so quick and easy. It’s brilliant and refreshing."

AXEL STELK | JAKE NEWBOULD | JONATHAN TURTON

CO-FOUNDER & CFO | CMO | ECOMMERCE MANAGER

Piglet in Bed logo - Datitude client

FIND OUT MORE

Contact the team to discuss your data needs and find out more about Datitude's managed data platform and solutions.

Thank you.  A member of our team will be in touch shortly.

Error.  Please check highlighted fields and try again.

bottom of page