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How We Drove Omnichannel Growth for a Fashion & Retail Brand by Owning the Full Customer Journey


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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