QUICK WASH

Review activity at QUICK WASH locations spans 28 months — from January 2024 through April 2026 — with 580 customer reviews captured across the chain in that window. That averages out to roughly 21 reviews per month, with peak monthly velocity hitting 40 in April 2026. Comparing the most recent 14 months to the earlier 14, review velocity is up sharply: an average of 23/month recently versus 18/month earlier (+29%).

Monthly rating shows modest variability — a chain mean of 4.66★ with a standard deviation of 0.29★. The best month, October 2024, hit 5.00★; the worst, February 2025, sat at 3.67★ — a 1.33★ spread between extremes, well within normal seasonal variation for a chain of this size.

What drove the dip. The rating decline ran 3 months, from January 2025 to March 2025. The chain's monthly rolling average fell from a baseline of 4.69★ to a low of 4.33★ in January 2025. 1 of 4 locations (25%) ran ≥1.5★ below their lifetime Google rating in the window — the dip was broad, not isolated to a few problem sites. Deepest hits: Crest Hill, IL (1.20★ vs lifetime 3.1★).

Across the 1–2★ reviews in this window, the dominant complaint themes were refund / billing dispute (30%), vehicle damage (20%), broken equipment (10%), price hike / value loss (10%). The mix — membership friction stacked with refund disputes, broken equipment, and references to non-operational sites — is a recognizable post-acquisition operational signature rather than a generic customer-service slip.

The most recent month (April 2026) closed at 4.90★ — a sharp recovery of 0.22★ above the trailing three-month average of 4.68★. That signals either operational stabilization at the acquired sites or selection effects (the most-vocal angry customers having already churned), and is worth re-checking in the next data refresh.

The average QUICK WASH location operates in a market with 2.8 other car-wash businesses within a 1-mile radius — moderate trade-area density by the standards of the broader US industry. Expanding the ring outward, density grows to 26.0 competitors within the 1–3 mile band and 36.8 within the 3–5 mile band, for a total of roughly 66 nearby car-wash operators inside the 5-mile trade-area boundary on average.

The distribution across locations is uneven. 0 sites (0%) have no other car wash within 1 mile, 1 (25%) have 1–2 competitors at that range, 3 (75%) have 3–5, and 0 (0%) operate in densely-competitive urban-core markets with 6 or more car washes inside a 1-mile ring. Median competitor counts (a less-skewed view than averages): 3 within 1 mile, 42 within 3 miles, 57 within 5 miles.

Quality of nearby competition matters as much as raw count. The average Google rating of competitors within 1 mile of a QUICK WASH location is 3.87★ — that's the bar each site is benchmarked against by customers choosing where to wash. Per our Car Wash Cannibalization Research, trade areas with 3–10 same-quality competitors typically produce the strongest customer-ramp economics for new operators; empty markets and saturated markets both underperform.

Most-competitive sites in the network: Fort Worth, TX (3 competitors within 1 mi, rating 3.5★); Crest Hill, IL (3 competitors within 1 mi, rating 3.1★); Anderson, CA (3 competitors within 1 mi, rating 4.8★). Least-competitive sites: Marysville, WA (2 within 1 mi, rating 3.9★); Fort Worth, TX (3 within 1 mi, rating 3.5★); Crest Hill, IL (3 within 1 mi, rating 3.1★).

Free vacuums are the most-mentioned amenity at QUICK WASH locations, surfacing in 4.4% of customer reviews. For chains where free vacuums lead, that's typically the strongest single retention amenity — express-tunnel customers explicitly value the post-wash vacuum bay and chains that remove or paywall the vacuums tend to see a measurable rating drop.

Beyond the top mention, the next tier of customer-noted features includes tire shine (1.5%), ceramic spray (0.8%). These represent the chain's "talked-about" service mix — features customers either appreciate enough to mention or complain about when they're missing.

QUICK WASH spans 4 states with no single dominant market. The three largest states by location count are Texas (1), Washington (1), Illinois (1). This kind of broad-but-shallow footprint is typical of mid-stage consolidators expanding by acquisition rather than organic same-market growth, and complicates per-state operational benchmarking.

Across the 4 QUICK WASH locations with scored review data, the median Google rating is 3.5★ and the chain-wide mean is 3.80★. Standard deviation across locations is 0.73★ — a measure of how consistently the chain operates from site to site. A standard deviation below 0.2 indicates highly consistent operations; above 0.4 indicates the chain has meaningful per-location quality variance, often tied to acquired versus organically-built sites.

Distribution by rating band: 1 location below 3.5★ (33%), 1 between 3.5–4.0★ (33%), 0 between 4.0–4.4★ (0%), and 1 at 4.4★ or higher (33%). The most-resilient car-wash operators in our research typically have at least 60% of locations in the 4.0–4.4★ band — that's the rating tier with the lowest cannibalization risk when new competitors arrive.

Highest-rated location in the network: Anderson, CA at 4.8★ (1,156 reviews). Lowest-rated: Crest Hill, IL at 3.1★ — a 1.7★ spread between the chain's best and worst-performing sites. The busiest location by review volume is Anderson, CA with 1,156 reviews, reflecting both market size and customer-traffic density.

Standard deviation of 0.73★ across locations is wider than the consistency benchmark we typically see for operationally-mature chains (≤0.2★). The size of the spread between best (4.8★) and worst (3.1★) suggests the network includes a mix of organically-built sites running at chain standard and acquired sites that haven't yet been brought up to that standard — a known operational signature for chains in active consolidator-growth mode.

Expand any row in the table below to see that location's full operating profile: trade-area competitor rings (count and avg rating within 1, 3, and 5 miles), the per-location damage rate and membership-cancellation friction rate where sample size allows, the four most-distinctive aspect-sentiment signals (e.g. staff, equipment, value), and a monthly review-velocity sparkline showing how that specific site has trended over the data window.