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ComplaintRate Ltd (subsidiary of Asymmetry Data Ltd) — operating complaintrate.com — A normalised, entity-resolved analytical layer over the CFPB consumer complaint corpus (15M+ raw rows, 2011 to present): complaint rate per 1,000 customers per institution, complete complaint history by year, product category, issue type and resolution outcome, resolution-outcome splits (monetary relief / non-monetary relief / explanation only / no resolution), and peer-benchmark multiples against comparable institutions — plus a documented normalisation formula, entity-resolution key that consolidates the in…
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A normalised, entity-resolved analytical layer over the CFPB consumer complaint corpus (15M+ raw rows, 2011 to present): complaint rate per 1,000 customers per institution, complete complaint history by year, product category, issue type and resolution outcome, resolution-outcome splits (monetary relief / non-monetary relief / explanation only / no resolution), and peer-benchmark multiples against comparable institutions — plus a documented normalisation formula, entity-resolution key that consolidates the institution-name variants in the raw federal data, and a stated limitations/statistical-defence appendix built to survive expert-witness challenge.
From 15 yearsCoverage FinancialsAsset class Equities
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ComplaintRate Ltd (subsidiary of Asymmetry Data Ltd) — operating complaintrate.com — A normalised, entity-resolved analytical layer over the CFPB consumer complaint corpus (15M+ raw rows, 2011 to present): complaint rate per 1,000 customers per institution, complete complaint history by year, product category, issue type and resolution outcome, resolution-outcome splits (monetary relief / non-monetary relief / explanation only / no resolution), and peer-benchmark multiples against comparable institutions — plus a documented normalisation formula, entity-resolution key that consolidates the in…
Complaintrate offers (Alternative, Sentiment, Reference) — Built on 15M+ raw CFPB complaint rows spanning 2011 to present (stated on the page), reduced to a normalised per-institution layer covering the US consumer-finance institution universe with year x product x issue x outcome cross-tabs; deliverables run from a single-institution exhibit pack to 10-institution peer comparisons and multi-year trend analyses.
Consumer-harm and conduct-risk benchmarking for financial institutions; early-warning complaint-rate surveillance for regulators, state Attorney General offices and short-sellers; training conduct-risk and complaint-classification models on resolved complaint outcomes; entity-resolution and institution-name-aliasing training data (the raw federal data is famously inconsistent on institution naming); building ML targets for predicting monetary-relief likelihood; and litigation-support evidence generation for class actions.
The data is with 15 years of history.
Coverage spans US; Consumer Finance, Diversified Banks; alternative, sentiment, reference; equities.
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