A practical take on Privacy Awareness Week’s trust panel: how to reduce friction, improve handovers, and build trust when privacy complaints land in your inbox. The post Privacy Complaints: Lessons for Email Marketers on Trust first appeared on Marketing Cube | Connected Capability.
Privacy complaints: What email marketers can learn from Privacy Awareness Week’s trust panel
Published: 8th May 2026 | Derek Bell
Why this matters for marketing automation teams
I attended the Privacy Awareness Week panel, “Building Trust and Loyalty through Better Privacy Complaint Handling” (Wednesday 6 May 2026), featuring Privacy Commissioner Carly Kind and guests Anna Campbell (AFCA), Melanie Lawrie (SOCAP) and moderator Melanie Marks (ctrl:cyber).
Even though the session focused on complaint handling, the takeaways land squarely in the world of email marketing and marketing automation. If you run Eloqua, Salesforce Marketing Cloud or HubSpot, you’re already operating in a high-trust environment with consent, preference centres, access requests, suppression lists, retention rules, and “why am I getting this?” queries.
In practice, privacy complaints are often just the sharp end of a broader customer experience problem.
About Privacy Awareness Week
Privacy Awareness Week (PAW) is an annual initiative led by the Office of the Australian Information Commissioner (OAIC) each May to promote data privacy rights and responsibility. It focuses on improving privacy practices for businesses and government, such as handling complaints, protecting data, and training staff.
The theme: trust is built in the complaint, not the policy
The panel’s theme was “Trust is built here – In every privacy complaint. In every resolution.” The recurring message was that organisations can be technically compliant and still lose trust if the experience feels defensive, confusing, slow, or impersonal.
One line that stuck with me was the emphasis on clarity and accessibility: “Consumers are expecting an accessible process without barriers… barriers can undermine trust or create the impression that information is being withheld.” For marketers, that translates directly to how we handle unsubscribe friction, preference changes, identity verification, and access requests.
Process vs experience: the gap marketers can’t ignore
Melanie Lawrie (SOCAP) described a familiar mismatch: organisations focus on closing cases and following internal procedures, while complainants judge fairness by how they were treated.
As she put it: “Consumers often don’t judge systems by whether the rules are followed. They judge them by the experience they had and how they were treated.” In an email context, the “complaint” might be a reply to a campaign, a spam report, a contact form submission, or a social comment. If the response is generic or templated, it may be “correct” but still feel unfair.
“Consumers often don’t judge systems by whether the rules are followed. They judge them by the experience they had and how they were treated.”
– Melanie Lawrie (SOCAP)
See the person: Designing for vulnerability (not the average customer)
A strong thread through the discussion was vulnerability and circumstance. The panel highlighted that complaint handling should consider real-world constraints (limited access to technology, financial stress, and heightened emotion).
One practical framing was to treat complaint handling as supporting people “in moments of friction”, not processing a case number.
For marketing ops teams, this is a reminder that our workflows should handle edge cases gracefully:
- A customer who can’t access the preference centre
- A person who is locked out of an account but still receiving emails
- A former customer whose data is still being used for targeting
- A contact who wants access to their data but doesn’t know the right words
How can Marketing impact the Complaint Handling process?
Privacy complaints often start in the inbox. If your programme makes it hard to understand consent, manage preferences, or reach a human, you’ll see it in spam complaints, angry replies, and reputational risk. At Marketing Cube, we help teams design email programmes that are clear, respectful, and operationally sound.
Stop the “cold transfer” problem inside your martech stack
Both Anna Campbell (AFCA) and Melanie Lawrie spoke about the trust damage caused when people are bounced between teams.
Anna’s advice was to triage well at the outset, gather information once, and hand over properly so the person doesn’t have to repeat themselves. Melanie added a simple but powerful point which was don’t do a “cold transfer” where the customer has to re-explain everything.
For marketing automation, this is the classic handoff between:
- Marketing and customer support
- Marketing ops and IT/security
- Privacy/legal and the campaign team
- CRM owners and the ESP/MA platform admin
If you want fewer escalations, design a single “front door” for privacy-related requests, with internal routing that doesn’t force customers to start over.
Access requests are a major trigger (and marketers influence the outcome)
Commissioner Carly Kind noted that access requests (requests for personal information) are a significant source of privacy complaints, either directly or as add-ons to other disputes.
From a marketing perspective, access requests often touch campaign history, tracking data, preference changes, segmentation logic, lead source, and identity resolution.
If your data is fragmented across platforms, it is harder to respond clearly and quickly.
A useful reminder from the panel was that people often seek information because they don’t trust what they’ve been told.
Or, as one speaker observed, these requests can be “driven from a lack of trust… that we haven’t shared all the relevant information with them through the complaint process.”
AI can help, but it can also quietly break trust
The panel’s view on AI was balanced. It can improve triage and help identify systemic issues, but it becomes risky when it replaces human judgment or reduces transparency.
Melanie Lawrie summarised well, saying that AI works best as a support tool, not a replacement. The opportunity is using AI to:
- Detect and categorise complaints (including when customers don’t label them as complaints)
- Prioritise and route issues faster
- Analyse complaint themes to find root causes
The trust risks arise when AI produces generic responses, makes decision-making hard to explain, or removes accountability.
There was also an emerging twist:
complainants using AI.
Anna Campbell noted they are seeing more voluminous and sometimes less relevant submissions, which can make it harder to get to the real issue. For marketers, that’s a signal to simplify the process and get to a human conversation sooner.
Marketing automation: 7 practical moves
Here’s what I’d take back to any email marketing or marketing automation team.
- Make privacy requests easy to start: Don’t hide the pathway, and don’t require customers to know legal terms.
- Reduce effort: (fewer steps, no repetition) If someone has already verified their identity once, don’t make them do it again for the next step.
- Assign one owner per case: Even if multiple teams are involved, one person should be accountable for updates and next steps.
- Explain what will happen, when, and why: Replace “we’re looking into it” with a simple timeline and what information you need.
- Use plain language, not templates: Templates are fine as scaffolding, but the response should reflect the actual concern.
- Close the loop with visible improvement: When a complaint reveals a broken preference centre or a data retention issue, fix it and document the change.
- Treat complaints as intelligence, not admin: Trend complaint themes like you trend deliverability issues: by source, campaign type, segment, and system.
Frequently Asked Questions
A privacy complaint is any customer concern about how you collect, use, store, or share their personal information. In email marketing, that often shows up as complaints about unexpected emails, unclear consent, difficulty unsubscribing, preference centre issues, data access requests, or concerns about tracking and profiling.
Because people judge the experience, not just the rulebook. If the process feels confusing, slow, or dismissive; if you’re bouncing customers between teams; or if decisions are unclear, customers assume you’re protecting the organisation rather than helping them. Trust is built through transparency, empathy, and clear communication.
The big ones are:
- Making the person repeat themselves (poor handovers)
- Cold transfers between marketing, support, and legal
- Template responses that don’t address the actual concern
- Vague timelines (“we’ll look into it”) with no follow-up
- Unclear outcomes or reasoning (“we’ve closed your case” without explanation)
Triage early and route fast. Capture the core details once (what happened, what they want, key dates, relevant email addresses/IDs), then assign ownership. For straightforward cases (unsubscribe, preference update, suppression), resolve immediately. For complex cases (access requests, data disputes), confirm next steps, timeframe, and who will respond.
Aim for: acknowledge, clarify, commit. A strong first reply
- Acknowledges the concern in plain language
- Confirms what you’ve understood (so they don’t repeat it)
- Explains the next step and timeframe
- Gives a single point of contact
- Avoids legal jargon unless it’s genuinely needed
6) Where do preference centres and marketing automation commonly go wrong?
They fail when they’re designed for internal convenience instead of customer clarity. Common issues include:
- Too many options with unclear labels
- Preferences that don’t actually stick (sync issues across systems)
- “Unsubscribe” that only removes one list, not all marketing
- Hidden tracking/consent assumptions
- No confirmation that changes were applied (and when)
7) How can AI help with privacy complaints without undermining trust?
Use AI to support humans, not replace them. It’s useful for categorising complaints, spotting themes, drafting summaries, and flagging systemic issues (e.g., repeated preference centre failures). But trust drops if customers can’t tell what’s happening, can’t reach a person, or feel they’re being handled by an opaque system. Keep transparency and human oversight front and centre.
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