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CASE STUDY · E-Commerce & DTC Consumer

CSAT +24 Points and 59% Lower Ticket Cost With a Remote CX Team

Facing a 38-hour first-response time, mounting post-peak backlogs, and CX costs that scaled linearly with volume, the brand built a 10-person remote CX pod that now handles 24/7 support, returns, and VIP care inside Gorgias + Shopify Plus at a 45-minute first-response SLA.

+24 pts
CSAT improvement
59%
Lower cost per ticket
24/7
Global support coverage

Available Candidates

Pre-vetted professionals ready to start

Client Snapshot

At a glance.

Industry
E-Commerce & DTC Consumer
Company Size
$38M GMV, 12-product catalogue, 220K active customers
Geography
North America, EMEA & APAC
Stack
Gorgias, Shopify Plus, Klaviyo, Loop Returns, Zendesk, Slack
The Challenge

What wasn't working.

Three CX problems were compounding: first-response times were embarrassing, returns processing was stretching past the 7-day SLA, and every holiday peak triggered a hiring-agency spiral that collapsed margin. The brand was paying a $6.10 per-ticket handling cost and couldn't scale CX without scaling payroll linearly.

1

First-response was hurting reviews and LTV

First-response time averaged 38 hours; 1-star Trustpilot review volume grew 84% year-on-year, with 'slow response' as the dominant theme. Post-purchase NPS dropped 19 points, and repeat-purchase rate followed within a quarter — a direct revenue loss of roughly $2.4M annualized.

2

Returns processing was choking on peak volume

Returns SLA slipped from 4 days to 9 days through Q4. Loop Returns tickets queued up faster than the team could adjudicate, and manual exceptions were stacking Gorgias tags the team couldn't clear without overtime. The CFO flagged returns ops as the #1 margin-erosion line.

3

Peak-season staffing was destroying economics

Each holiday peak required 8–12 seasonal agents at $28–$35/hour fully loaded. Training took 3 weeks; seasonal agents quit within 6 weeks. The brand was paying onboarding cost three times for a single peak and still missing SLA targets.

We hired seasonal agents, trained them for three weeks, got four weeks of productive work, and watched them quit before the January returns peak. Every Q4 we paid to learn the same lesson. The model was broken; the fix wasn't more agents — it was a different pod structure.
Head of CX
DTC E-Commerce Brand (name withheld — NDA), DTC E-Commerce Brand (name withheld — NDA)
★★★★★
The Solution

A pre-vetted Zedtreeo pod.

Zedtreeo deployed a 10-person remote CX pod within 9 business days. The pod was structured as a permanent, multi-timezone team — tier-1 agents, returns specialists, VIP care, and a QA lead — all operating inside Gorgias + Shopify Plus with the brand's existing macros, tone-of-voice, and Loop Returns workflow.

Team Composition Deployed

A permanent remote CX pod sized for steady-state + Q4 peak absorption — without seasonal hiring, without SLA collapse, and without overtime payroll.

Tier-1 CX Agent (3 timezones)
Email, chat, social DMs. Order tracking, account issues, product questions, macro-driven responses, tag hygiene.
Returns & Exceptions Specialist
Loop Returns adjudication, Shopify refund processing, exception escalation, damaged/lost claims, carrier liaison.
VIP & Retention Agent
High-LTV customer care, churn-risk escalation, personal shopper routing, white-glove replacement orders.
QA & Training Lead
Weekly ticket audits, tone-of-voice enforcement, macro library updates, new-hire onboarding, CSAT root-cause analysis.

Tools & AI Stack Deployed

The pod operates inside the brand's existing stack — Gorgias, Shopify Plus, Klaviyo, Loop Returns, and Zendesk. Brand macros, tone-of-voice guide, and returns decision-tree adopted during onboarding. Delivery runs through the brand's Slack channels with QA sampling and weekly CSAT reporting.

Execution Timeline

How it rolled out.

1
Week 1

Week 1 — Kickoff & Brand Immersion

Requirements call, NDA, Gorgias + Shopify + Loop access provisioning. Shortlisted pod interviewed by Head of CX in 48 hours.

2
Week 2–4

Weeks 2–4 — Onboarding

5-day free trial against live ticket queue. Brand tone guide, macro library, returns decision-tree, VIP playbook all adopted.

3
Month 2–3

Month 2 — 24/7 Activation

Full pod ownership across all timezones. First-response time drops to 45 minutes. Returns SLA back to 4 days.

4
Month 4–6

Months 3–6 — Peak Season Test

Q4 peak absorbed without seasonal hiring. CSAT +24 pts. Cost per ticket down 59%. Pod extended by 2 agents for BFCM, then returned to baseline.

The Results

What changed.

Within one quarter, CX stopped being a margin problem and became the brand's retention engine. Peak was absorbed without hiring-agency spend, and the 1-star review pipeline emptied.

Performance Before → After

Measured improvements across 90 days post-onboarding of the engagement.

CSAT score++24 pts
Before: Before: 68%After: After: 92%
First-response time+98% faster
Before: Before: 38 hrsAfter: After: 45 min
Cost per ticket+59% lower
Before: Before: $6.10After: After: $2.50
Annual CX operating cost−68%
Before: Before: $580KAfter: After: $184K
ROI

Zedtreeo vs in-house hire.

69%
Cost Saved

12-Month Cost Breakdown

Line ItemIn-House (US)Zedtreeo
Salary + Benefits$520,000$184,000
Recruitment$34,000Included
HR & Compliance$22,000Included
Tools$18,000Included
Total Annual$594,000$184,000
Client Testimonial

In their own words.

The Zedtreeo CX pod absorbed our Q4 peak without a single seasonal agency hire, cleared the returns backlog within three weeks, and put our CSAT higher than it's ever been. 59% lower cost per ticket is the margin story; 24 points of CSAT is the retention story. Both came from the same team.
Head of CX
DTC E-Commerce Brand (name withheld — NDA), DTC E-Commerce Brand (name withheld — NDA)
★★★★★
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