AMROAR Technologies

Amroar Technologies — a global IT company working across Salesforce, HubSpot, AI and full stack development
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Veldra Group · Marketing Cloud + Data Cloud — Amroar Technologies
Enterprise Marketing Cloud Data Cloud Retail Multi-Brand

Unifying 8 million customers
across 5 brands into one data layer.

Veldra Group ran five lifestyle retail brands off five separate tech stacks. Customer data was siloed. Email open rates had fallen to 11%. The same customer was receiving irrelevant campaigns from three brands simultaneously. We implemented Salesforce Data Cloud and Marketing Cloud end-to-end in 18 weeks.

All Enterprise Cases
Engagement at a glance
18wk
Full implementation timeline
8M
Unified customer profiles
5
Brands on one data layer
38%
Increase in email revenue
Client
Veldra Group (Fictional)
Industry
Retail · Multi-Brand Lifestyle
Platform
Salesforce Data Cloud · Marketing Cloud
Scope
CDP · Personalisation · Journey Builder
Delivered
18 weeks · 8M profiles unified
The Engagement

Five brands. Five databases.
Zero idea who their customer actually was.

Veldra Group owns five mid-to-premium lifestyle retail brands — across apparel, homewares, footwear, accessories, and wellness. Combined, they have over 8 million customers across the US, UK, and Australia. The problem: each brand had its own eCommerce platform, its own email service provider, its own loyalty programme, and its own definition of who a "customer" was.

A customer who spent £4,200 across three Veldra brands in a single year was being treated as a new contact by each brand individually. There was no cross-brand recognition, no shared suppression logic, and no unified view of lifetime value. Email volumes were high, engagement was collapsing, and the marketing team had no way to build audiences that reflected real customer behaviour.

Amroar implemented Salesforce Data Cloud as the central customer data platform — ingesting transactional, behavioural, and loyalty data from all five brands, resolving identities across 14 data sources, and feeding unified profiles into Marketing Cloud for personalised, cross-brand journey orchestration. 8 million profiles unified. All five brands on one intelligence layer.

Client
Veldra Group
Sector
Retail · Multi-Brand Lifestyle
Brands
5 brands · US, UK, Australia
Customers
8 million unified profiles
Platform
Salesforce Data Cloud + Marketing Cloud
Modules
CDP · Journey Builder · Personalisation · Intelligence
Data Sources
14 ingested · Shopify, POS, Loyalty, App
Timeline
18 weeks to full go-live
What We Walked Into

Five brands treating the same customer like a stranger every time.

The symptoms were visible in the data. The cause was structural — five independent tech stacks with no shared identity layer and no unified logic.

01
No unified customer identity across brands
The same email address existed in five separate databases as five separate contacts. A customer's total relationship with Veldra Group was invisible to every individual brand. High-value cross-brand buyers were indistinguishable from lapsed single-brand contacts.
02
Email open rates at 11% and falling
With no suppression logic across brands, engaged customers were receiving 6–8 marketing emails per week from different Veldra brands simultaneously. Fatigue was measurable — unsubscribe rates had doubled in 18 months. Open rates fell from 24% to 11% in two years.
03
Personalisation was surface-level at best
Each brand could personalise within its own data silo — first name, last purchase, browse history. But nobody could personalise based on cross-brand affinity, total lifetime value, or which brands a customer had already engaged with. The most valuable data didn't exist in any usable form.
04
Loyalty programmes weren't connected
Each brand had its own loyalty scheme. A customer with 3,000 loyalty points across three brands had no visibility of their combined value — and Veldra had no way to reward or retain their best cross-brand customers as a group. The loyalty investment wasn't compounding.
05
No real-time behavioural triggering
Triggered campaigns were batch-based. An abandoned cart on the apparel brand would trigger an email 24 hours later — long after the customer had either bought elsewhere or moved on. There was no real-time event streaming from eCommerce into the marketing layer.
06
Marketing reporting was a manual exercise
Consolidated marketing performance reporting — across five brands, three markets, and multiple channels — was assembled manually in spreadsheets by a team of analysts. It took 4 days to produce a weekly report that was already outdated by the time it was read.
System Architecture

One data layer. Five brands. Every customer interaction connected.

Data Cloud sits at the centre — ingesting from 14 sources, resolving identity across brands, and feeding unified profiles into Marketing Cloud for real-time journey orchestration.

DATA SOURCES (14) DATA CLOUD — IDENTITY RESOLUTION SEGMENTATION + ACTIVATION CHANNEL DELIVERY Shopify 5 brand storefronts Orders · browse · cart POS Systems In-store transactions 340 retail locations Loyalty Platform Points · tiers · redemptions Across all 5 brands Mobile Apps Behavioural events Real-time streaming Service Cloud Support history CSAT · case data + 9 more sources Review platforms · paid media · web analytics Salesforce Data Cloud — Unified Customer Profile + Identity Resolution 8M profiles resolved across 14 sources · deterministic + probabilistic matching · cross-brand LTV · real-time event ingestion Calculated Insights: brand affinity scoring · purchase frequency · churn propensity · cross-brand suppression rules Audience Studio Dynamic segments Cross-brand logic Journey Builder Real-time triggers Multi-step automation Personalisation Einstein product recs 1:1 content blocks Intelligence + Reporting Unified marketing dashboard Cross-brand attribution Email SMS Push Notifications Paid Media Sync Web Personalisation Loyalty Triggers
Personalisation Flow

From a single customer event to a personalised, cross-brand moment.

Real-time event streaming means a customer action triggers the right message within minutes — not 24 hours later when it no longer matters.

01 Customer Event Browse · purchase · cart abandon · loyalty redeem 02 Data Cloud Event streamed in real-time Profile updated instantly 03 Segment Evaluated Cross-brand LTV scored Suppression rules checked 04 Journey Triggered Right brand · right message Einstein content selected 05 Message Delivered Email · SMS · push · web Personalised 1:1 at scale 06 Profile Updated Engagement captured Scores recalculated CUSTOMER EVENT REAL-TIME · SUB-3 MINUTE DELIVERY
How We Delivered It

18 weeks. What we actually built.

🔗
Data Cloud Implementation
Connected 14 data sources — Shopify storefronts, POS systems, loyalty platforms, mobile apps, and paid media. Built the identity resolution model to unify 8 million customer profiles across all five brands deterministically and probabilistically.
📊
Calculated Insights + Scoring
Built cross-brand LTV scoring, brand affinity models, churn propensity indicators, and purchase frequency segments directly in Data Cloud. These scores update in real-time and feed every downstream journey and personalisation decision.
🎯
Journey Builder + Personalisation
Rebuilt all marketing automations in Marketing Cloud Journey Builder — triggered from real-time Data Cloud events. Einstein product recommendations personalised at the individual level across email, SMS, push, and web for all five brands.
📈
Unified Marketing Intelligence
Built the consolidated marketing performance dashboard — cross-brand revenue attribution, email engagement, paid media overlap, and loyalty performance — all in one view. Weekly reporting that previously took 4 days now runs automatically overnight.
What Changed

The numbers at 90 days post go-live.

38%
Increase in email-attributed revenue across all five brands — same send volume, better targeting
11→29%
Email open rate recovery — from 11% at implementation to 29% within 90 days
4→0
Days to produce the weekly cross-brand marketing report — now automated and delivered overnight
2.4x
Cross-brand purchase rate among unified high-LTV segment — identified for the first time

"We knew we had high-value customers buying across multiple brands. We just couldn't see them — they existed in five separate databases with five different IDs. Amroar's Data Cloud implementation gave us a single view for the first time. Within 90 days, that cross-brand segment was buying at 2.4x the rate of our standard cohort. That's the number that ended the board conversation."

Chief Marketing Officer
Veldra Group · Global Marketing Division
Work With Amroar

Fragmented customer data is costing you more than you think.

If your customer data lives in more than one system, you're already operating blind. Data Cloud unifies it — but only if it's implemented correctly. We've done it at scale across multi-brand retail, healthcare, and financial services. Book a call and we'll tell you exactly what it would take for your environment.

Senior architects on every call. We'll map your data sources and tell you what's possible in 30 minutes.

200+
Enterprise clients across US, UK, Australia and the Middle East
90+
Certified Salesforce developers — Data Cloud, Marketing Cloud, Einstein
25+
Years combined experience across CRM, AI and enterprise data platforms
0
Failed builds across every enterprise engagement we've taken on