How We Drove Omnichannel Growth for a Fashion & Retail Brand by Owning the Full Customer Journey
- Info Bolt
- 3 days ago
- 3 min read

Most fashion and retail brands don’t have a growth problem. They have a journey ownership problem.
This case study breaks down how we helped a fashion & retail brand unlock measurable online growth—not by adding more tools or campaigns, but by connecting online, offline, marketing, and retention into one cohesive customer experience.
The Challenge: Growth Was Fragmented Across Channels
On the surface, the brand was doing many things right.
Strong offline presence and footfall
A growing Shopify store
Active CRM, loyalty, email, and WhatsApp programs
But underneath, the customer journey was deeply fragmented.
What wasn’t working:
▸ Online and offline data lived in silos
▸ Each vendor owned a slice (ads, website, CRM, loyalty)
▸ No one owned the end-to-end customer journey
▸ Repeat purchases online were low
▸ Post-purchase engagement dropped sharply after checkout
▸ Leadership lacked a clear view of what was actually driving revenue
The result? Lost conversions, weak retention, and missed opportunities across touchpoints.
Our Approach: Start With the Journey, Not the Channel
Instead of jumping straight into redesigns or campaigns, we stepped back and asked a simple question:
Where exactly is the brand losing customers, revenue, and momentum across the journey?
Step 1: Unifying the Data Foundation
We stitched together data across:
✅ Shopify
✅ GA4
✅ CRM & loyalty
✅ Email & WhatsApp
✅ Store-level interactions
This gave us a single view of the customer—across browsing, buying, returning, and re-engaging.
Step 2: Mapping the Full Omnichannel Journey
We mapped the journey end-to-end:
✅ First visit → product discovery
✅ PDP → cart → checkout
✅ Post-purchase → replenishment → repeat
✅ Store visit → online re-engagement
This revealed clear friction points:
▸ Mobile discovery was weak
▸ PDPs lacked clarity and confidence cues
▸ Checkout drop-offs were higher than benchmarks
▸ Post-purchase journeys were transactional, not relationship-driven
Step 3: CRO & UX Fixes That Moved the Needle
Rather than large redesigns, we focused on high-impact, fast CRO wins:
✅ Improved navigation and filters for mobile users
✅ Faster, cleaner PDPs with clearer decision cues
✅ Reduced friction between PDP → cart → checkout
Every fix was tied to a measurable outcome, not just best practices.
Step 4: Designing Omnichannel Retention Journeys
This is where growth really unlocked.
We designed:
✅ Store-to-online journeys using QR codes and WhatsApp nudges
✅ Post-purchase education and loyalty reminders
✅ Replenishment and re-engagement flows based on behavior, not blasts
✅ Cross-channel orchestration across email + WhatsApp
Each journey was timed to customer intent, not marketing calendars.
Step 5: Visibility for Leadership & Ops
Finally, we built dashboards that answered the questions leadership actually cares about:
✅ Where are we losing conversions?
✅ Which journeys drive repeat revenue?
✅ What should we fix first?
This shifted decision-making from gut feel to clear CX-led priorities.
The Impact: Measurable, Sustainable Growth
By owning the full journey—not just isolated channels—we helped the brand achieve:
✅ +12–18% conversion lift
✅ Higher AOV through better discovery & cross-sell
✅ Improved repeat purchases from omnichannel customers
✅ Clear visibility into online + offline contribution
Micro-Wins That Added Up
Small, focused improvements delivered outsized impact:
✅ Mobile PDP redesign → +11% CVR
✅ Store-visit → WhatsApp follow-ups → +19% repeat purchases in 45 days
✅ Improved filters & search → +14% PDP engagement
✅ Loyalty nudges post-purchase → +22% redemption rate
The Boltworks Difference
This wasn’t about adding more tools or running more campaigns.
It worked because:
👉 We owned the end-to-end customer journey
👉 We connected UX, data, MarTech, and operations
👉 Every recommendation was tied to business outcomes
👉 We acted as a CX taskforce, not a vendor
For brands scaling across online and offline, growth doesn’t come from isolated optimizations. It comes from designing the customer journey as a system.



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