After-Sales Manager LinkedIn Profile Optimisation
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After-Sales Manager | NPS 65 (+20pts) | CSAT 92% | 3,000 tickets/month | Zendesk
After-Sales Leadership | SLA Management | FCR +1st-Time Resolution | Complaints & Warranty
After-Sales Manager | Customer Experience Ops | Salesforce Service Cloud | Knowledge Base
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After-Sales Manager (e-commerce, £15M) with 5 years’ experience leading customer experience operations across returns, warranties, and post-purchase support. I manage high-volume service delivery—typically 3,000 tickets per month—while protecting customer outcomes and cost-to-serve. Results I’m proud of include lifting NPS to 65 (+20 points) and sustaining CSAT at 92% through structured root-cause analysis and continuous improvement. I lead day-to-day tooling and reporting using Zendesk (ticket workflows, macros, triggers) and Salesforce Service Cloud (case management, reporting, escalation paths), and I routinely review SLA performance against response-time and resolution KPIs.
I build scalable teams and processes for after-sales growth, including mentoring a team of 8 to improve first contact resolution (FCR) and reduce repeat contacts. My operating rhythm includes weekly QA of complaint categories, monthly trend reporting, and targeted coaching based on call/ticket taxonomy. I ensure customers receive accurate guidance on warranty terms, spare parts availability, and returns journeys, with clear ownership from intake through closure. If you’re working on after-sales transformation, you’ll find my style practical, metric-driven, and focused on measurable improvements to customer experience and operational efficiency.
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NPS / CSAT Improvement
Zendesk (Workflows, Macros, Reporting)
Salesforce Service Cloud (Case Management)
SLA Design & Response Time Performance
FCR (First Contact Resolution) Optimisation
Complaints Management & Root Cause Analysis
Warranty Handling & Spare Parts Operations
Knowledge Base Governance (Articles, Self-Serve)
Service Recovery & Escalation Management
Team Leadership & Coaching
Reporting & Operational KPIs
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Advanced Optimisations
Write the metric in full: “NPS 65 (+20 points)” and pair it with what changed (e.g., redesigned escalation, improved knowledge base coverage) to make the number believable.
Include operational volume like “3,000 tickets/month” and then anchor it to how you controlled service quality using Zendesk ticket tags, SLAs, and QA sampling.
Operating metrics that keep after-sales predictable
In after-sales, outcomes must be measurable and repeatable, especially when demand fluctuates. I track NPS, CSAT, SLA adherence, and FCR using Zendesk reporting dashboards to spot delays early and prevent backlog spikes. For example, when response-time breaches began to trend up, I introduced triage rules and updated ticket routing so urgent cases moved faster while routine queries were handled through macros. This reduced avoidable re-contacts and improved resolution quality, which ultimately supported NPS movement and stabilised customer sentiment.
Complaints, warranty and returns handled with structured governance
I manage complaints and warranty journeys with clear decisioning and documented criteria, so customers experience consistency regardless of channel or agent. I maintain a controlled workflow in Zendesk and align escalation stages with policy owners in Salesforce Service Cloud, ensuring accountability for complex cases. I perform root-cause analysis by complaint category, then translate findings into process changes such as updated warranty eligibility checks and spare parts readiness rules. The result is fewer “unresolved” loops, improved first contact resolution, and shorter time-to-resolution measured against agreed internal KPIs.
Knowledge base and self-serve that reduce contact volume
A strong knowledge base is one of the fastest levers for reducing ticket volume without harming customer experience. I govern article quality by linking Zendesk ticket tags to knowledge base coverage and identifying gaps where customers repeatedly ask the same questions. Using that feedback, I co-write step-by-step guides for returns, delivery issues, and warranty steps, and then measure impact through deflection rates and changes in ticket reasons. When implemented well, self-serve reduces repeat contacts and protects agent time for higher-impact service recovery, which is essential at high volumes like 3,000 tickets per month.
Team leadership built for continuous improvement
I lead and coach after-sales teams by combining structured QA with targeted capability-building. Agents are assessed using defined quality criteria, and coaching is informed by the categories that drive low CSAT or repeat contacts, rather than subjective impressions. I run weekly review sessions, supported by Zendesk macros for consistent communications and Salesforce Service Cloud reports for escalation effectiveness. Over time, this approach improves compliance, strengthens customer empathy, and raises performance across SLAs, FCR, and complaint outcomes.
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