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Corpshore Australia

Case study

Trust and safety moderation for an Australian online marketplace

A mid-size Australian online classifieds and marketplace platform, listing several million items across categories including vehicles, general goods and property, with a permanent Australian staff of around 90 across product, engineering and trust and safety.

The challenge

Listing volume had grown faster than the platform's in-house moderation team, a group of 6 based in Sydney. Backlogs of flagged listings, ranging from suspected scams and prohibited items to duplicate and misleading ads, regularly ran past 48 hours before review, and the Sydney team was spending most of its time on high-volume, low-complexity triage rather than the genuinely hard escalations and policy edge cases that needed local judgment.

What Corpshore did

The engagement started with a pod of 10 moderators and 1 team leader handling first-pass triage on the highest-volume categories. It scaled to 40 moderators, 3 team leaders and 2 quality assurance specialists over six months as coverage extended to every listing category, with a named policy liaison sitting between the Manila operation and the client's Australian legal and policy team for anything requiring escalation, such as suspected fraud rings or content referred to police. Manila was chosen for a follow-the-sun roster that gave the client coverage well beyond a single Australian business day.

Delivery model

Offshore delivery from Manila, Philippines, working the platform's moderation queue on a follow-the-sun roster with a documented escalation pathway to the client's Australian legal and policy team.

Compliance handling

Moderators reviewing user-generated listings routinely handle personal information, including seller names, contact details and, in some disputed listings, identity documents uploaded to resolve a complaint. The client's disclosure of this information to Manila is subject to Australian Privacy Principle 8 and section 16C of the Privacy Act 1988, and the client retained accountability for any mishandling regardless of where the review took place. Reasonable steps included restricting moderator access to the specific fields needed for a review decision rather than full account records, and a documented escalation matrix so anything ambiguous or potentially unlawful went to the client's own legal and policy team rather than being resolved offshore. Given the platform's revenue, the Notifiable Data Breaches scheme applied, and a 30-day assessment clock for any suspected eligible data breach was written into the operating procedures both teams followed. Corpshore's security posture is aligned with the Essential Eight framework.

Results

57%
Lower cost per listing reviewed
89%
Listings actioned within 24 hours, up from 34%
70%
Of the Sydney team's time freed for escalations

Median time to review a flagged listing fell from around 51 hours to 6 hours once the full team was live. The proportion of listings actioned within 24 hours rose from 34 percent to 89 percent. Cost per listing reviewed fell by approximately 57 percent compared with the prior in-house-only model, allowing the Sydney team to redirect roughly 70 percent of its time to policy development and complex escalations rather than first-pass triage. Figures quoted exclude GST.

Median time to review a flagged listing

Median time to review a flagged listing, before and after in hrs.
StageValue
Before51 hrs
After (full team live)6 hrs

Volume used to dictate what our own team spent its day on. Now our people spend their time on the decisions that actually need a person who understands Australian law, and the queue doesn't back up.

Head of Trust and Safety, online marketplace

Why it worked

Volume no longer dictated what the client's own team spent its day on, because the offshore team absorbed the high-volume triage and the escalation matrix meant nothing genuinely ambiguous was ever resolved offshore.

Draft for Frank to validate against a real engagement before publishing. The client is described by industry and size rather than named, and the metrics stated here are conservative, plausible estimates, not audited figures.

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