112,000 complaints in a single quarter should change your operating model.
In Q1 2025, Americans filed more than 112,000 complaints with the FTC regarding debt collector calls - a 150% increase from the same time the year prior (based on analysis of FTC complaint data).
NumberBarn's analysis shows just how abnormal this is: from Q1 2020 through Q1 2024, debt collection call reports averaged roughly 35,000 to 45,000 per quarter - then jumped to 112,583 in Q1 2025, up from 44,999 in Q1 2024.
And it's not just "more calls." The same analysis reported abusive or threatening debt collection reports grew nearly fourfold year-over-year (from 13,472 to 53,243).
Whether you're a first-party creditor or a third-party agency, it's clear that the phone channel is under trust stress - and your growth strategy can't rely on volume anymore.
Historically, many organizations treated wrong-party contact (WPC) as a compliance risk to manage, an operational annoyance, or a KPI rounding error. That era is over.
In 2026, wrong-party contact is a growth killer because it compounds across four dimensions:
1) Brand trust collapses faster than you can optimize scripts. Consumers don't distinguish between legitimate collectors, bad actors, spoofers, and scam calls impersonating collectors. They just experience "another unwanted call." When complaints surge, trust becomes scarce - and scarcity raises the cost of every successful contact.
2) Contact rates fall while cost-to-right-party rises. When people stop answering unknown numbers, "more attempts" doesn't scale results. It scales irritation, complaints, and wasted agent minutes.
3) Compliance and oversight tighten - internally and externally. Higher complaint volume triggers more scrutiny: QA burdens rise, dispute rates rise, and "prove you did the right thing" becomes table stakes.
4) Your data exhaust becomes your liability. Bad identity resolution creates messy records. Messy records create wrong-party contacts. Wrong-party contacts create disputes. Disputes create cost. Cost throttles growth.
It's important to say that skip tracing is still a core tool in debt recovery. InformData supports skip tracing through SSN Trace+ - and we believe it is essential. What is breaking in today's environment is the reliance on stale, thin, or credit-header-only inputs that were never designed for a high-scrutiny, high-scam, low-trust phone channel.
Credit header data can be useful, but "header-only" approaches often have a predictable failure mode: the data looks precise enough to act on, but not verified enough to defend. With record-high relocation rates and rapid phone number reassignments, contacting consumers based on stale linkages makes wrong-party outcomes a mathematical certainty. To maintain margins and compliance, recovery teams must transition from broad data pulls to verified identity resolution.
The next phase of skip tracing is not about finding more numbers. It's about proving the right linkage before you dial. Trusted reach is the evolution: identity-resolved, channel-validated, defensible outreach.
In a trust-broken channel, the advantage goes to the organization that can say:
That is how you reduce complaints and increase recoveries: fewer wasted contacts, more productive conversations, better consumer experience.
When debt stress rises, collection activity rises. But so do disputes, confusion, scams, and "wrong person" outcomes.
The New York Fed reported total household debt reached $18.8 trillion in Q4 2025. And the share of outstanding debt in some stage of delinquency was 4.8% at the end of December 2025. Credit card balances were reported at roughly $1.28 trillion at year-end 2025.
Translation: the same market conditions that drive more recovery activity also increase the chance of errors, disputes, and wrong-party outcomes - especially when your data foundation is shaky.
1) Treat identity resolution as the product - not a preprocessing step. If identity is wrong, every contact decision is wrong.
2) Modernize skip tracing: eliminate relative noise and weak linkages. A common failure mode in legacy tracing is pulling data that technically matches but functionally misleads - including relatives or adjacent identities. Modern skip tracing should reduce noise, not add it.
3) Validate the channel, not just the person. Even if the person is correct, the channel might be dead, disconnected, or risky. Phone intelligence helps you assess credibility before you outreach.
4) Build your proof trail as you go. When complaints spike, you win by being able to show why you believed it was the right party, what data supported the linkage, what channel validation existed at the time, and how you handled disputes. This is both a compliance posture and an operational accelerant - because it reduces rework.
5) Refresh identity and contact pathways continuously. People move. Numbers change. Identities get reused and spoofed. Static datasets decay. Your reach strategy can't.
If your dashboards only track right-party contact and dollars collected, you're missing the KPIs that are silently limiting your growth. Add these three:
When those move in the right direction, you become more compliant and scalable.
Rising complaint volumes indicate that volume-based strategies have reached a point of diminishing returns. The solution lies in a defensible data foundation that prioritizes accuracy over sheer quantity.
If you want to see what modern skip tracing (SSN Trace+) looks like when it's wired into a trusted reach operating model, we should talk.