How to Read CFPB Complaint Data

Understanding Complaint Volume

The most prominent number on any company profile is the total complaint count. While it is tempting to conclude that more complaints equals a worse company, this is often misleading. Complaint volume correlates strongly with company size. A bank serving 60 million customers will almost certainly have more complaints than one serving 600,000, even if the larger bank provides better service. When comparing companies, always consider the complaint count relative to the company's customer base.

PlainComplaint currently tracks 145.5K companies across 113.7K product categories. The top 10 companies by complaint volume are almost always the largest financial institutions in the country, not necessarily the worst-performing ones.

What "Timely Response" Really Tells You

The timely response percentage measures how often a company responds to CFPB complaints within the 15-day window. A high rate (above 95%) indicates the company has a functional complaint management process. However, timely response does not measure the quality of the response. A company can respond on time with an unhelpful explanation and still register as "timely." Still, consistently low timely response rates (below 85%) may indicate systemic process problems.

Relief Rate: The Most Meaningful Metric

The relief percentage shows how often a company provides either monetary or non-monetary relief in response to complaints. This is arguably the most meaningful metric for consumers because it indicates how willing a company is to resolve problems. Companies with higher relief rates are more likely to take corrective action when consumers complain. However, relief rates can also be influenced by the types of complaints a company receives. A company that mostly receives complaints about easily fixable errors may have a higher relief rate than one that receives complex disputes.

Dispute Rate: Consumer Satisfaction Signal

After receiving a company's response, consumers can dispute the outcome within 60 days. A high dispute rate suggests that consumers frequently disagree with how the company resolved their complaints. Companies with dispute rates significantly above the industry average may be providing responses that consumers find inadequate, even if those responses are technically timely.

Common Pitfalls When Reading Complaint Data

• Ignoring company size: Always consider that larger companies will naturally have more complaints. A company with 100,000 complaints and 100 million customers may be performing better than one with 500 complaints and 50,000 customers.
• Assuming complaints prove wrongdoing: A CFPB complaint is a consumer's account of a problem. The CFPB does not investigate or verify the accuracy of complaint allegations. Some complaints may be based on misunderstandings or unrealistic expectations.
• Comparing across product categories: Credit reporting companies will always have far more complaints than niche financial services providers. Compare companies within the same product category for meaningful insights.
• Ignoring trends: A company's current complaint volume matters less than the trend. Is the complaint count increasing, decreasing, or stable? Check the yearly trend chart on each company profile for direction.
• Using complaint data as the only signal: CFPB complaint data is one input among many. Also consider company ratings from the BBB, reviews on consumer sites, interest rates and fees, product features, and your own personal experience.

How to Use PlainComplaint Effectively

1. Search for a specific company: Use the search bar to look up a company you are considering doing business with.
2. Check timely response and relief rates: These two metrics together give you a picture of how the company handles problems.
3. Review common issues: See which complaint categories appear most often for that company. If a specific issue concerns you (such as fee disputes or account closures), see how prominent it is.
4. Check the trend: Is the company receiving more or fewer complaints over time? Improving or worsening trends are more informative than a single snapshot.
5. Compare with competitors: Use the product and state pages to see how different companies stack up in the same category or geographic market.

Understanding "Closed with Explanation" Responses

The most common company response type in the CFPB database is "closed with explanation," which means the company reviewed the complaint and provided a written response to the consumer explaining their position. This response does not necessarily mean the consumer's issue was resolved or that the company changed anything. In many cases, a "closed with explanation" response simply restates the company's existing policies. For consumers, a high proportion of "closed with explanation" responses relative to "closed with relief" may indicate that the company is responsive on paper but reluctant to make actual changes for customers. However, some complaints genuinely involve misunderstandings about product terms, and in those cases an explanation is the appropriate response.

What Relief Rates Actually Indicate

When a company provides "monetary relief" in response to a CFPB complaint, it means the consumer received some form of financial compensation such as a refund, fee waiver, interest reduction, or account credit. "Non-monetary relief" includes actions like correcting a credit report entry, modifying loan terms, or reinstating a closed account. Together these form the relief rate shown on PlainComplaint company profiles. A higher relief rate generally indicates a company that is more willing to take corrective action, but context matters. Some product categories naturally lend themselves to higher relief rates because the issues are more straightforward to resolve. For instance, duplicate charges and incorrect fees are easy to verify and reverse, while disputes about loan terms or account closures involve more subjective judgment and tend to result in explanations rather than relief.

Interpreting Timely Response Percentages

The CFPB gives companies 15 calendar days to respond to a complaint. The timely response percentage reflects how consistently a company meets this deadline. Most large financial institutions maintain timely response rates above 95%, which means the metric is most useful for identifying outliers. A company with a timely response rate below 90% may be experiencing operational challenges in their complaint handling process, which could indicate broader customer service issues. Conversely, a 100% timely response rate does not guarantee quality responses. Some companies prioritize speed over substance, sending template responses that meet the deadline but fail to address the consumer's specific concern. When using PlainComplaint, treat timely response as a baseline operational competency indicator rather than a quality measure.

About the Data on PlainComplaint

PlainComplaint aggregates data from the CFPB's public complaint database. We refresh our database quarterly. For the most current data, visit the CFPB directly at consumerfinance.gov. Our full methodology is available on the methodology page.

Understanding the Data

The information presented throughout this guide is informed by publicly available public records published by federal and state government agencies. Our database aggregates and standardizes these records to make them more accessible and easier to interpret for general audiences. When we reference specific statistics or trends, they are drawn directly from these authoritative sources unless explicitly noted otherwise.

It is important to understand the limitations of any large-scale data dataset. Records may contain errors from the original data collection process, some fields may be incomplete for older entries, and classification systems may have changed over time. Our analysis accounts for these factors by clearly labeling data vintage, flagging records with missing critical fields, and noting when temporal comparisons span methodology changes in the source data.

For readers who want to conduct their own research, we recommend going directly to the source whenever possible. federal and state government agencies provides detailed documentation on collection methodology, sampling frames, and known data quality issues. Our goal is not to replace primary sources but to make them more approachable and to highlight patterns that may not be immediately obvious when browsing raw records.

How We Analyze Data Records

Our analytical approach involves several steps designed to surface meaningful insights from large datasets. First, we clean and standardize the raw data, handling variations in naming conventions, date formats, and categorical labels. Then we compute summary statistics, distributions, and comparative benchmarks across relevant dimensions such as geography, time period, and category type.

Key metrics we examine include statistical records, geographic distributions, temporal trends. These indicators provide a multi-dimensional view of each entity in our database, allowing users to understand not just individual records but how they compare to peers, regional averages, and national benchmarks. We believe this contextual approach is far more valuable than presenting raw numbers in isolation.