Tripadvisor
Complaint signal is 1.1%.
Praise signal is 2.1%.
Baseline signal is 1.2%.
Delta vs baseline is 0.0 points.
Topic
What reviews say about wi-fi in United States
Wi-Fi appears in 1.0% of analyzed complaint excerpts in this market.
Google Maps is above the baseline by 0.0 percentage points.
- Confidence
- 261,030
- Reviews analyzed
- Last update
- September 15, 2026
- 2 platforms in the sample
At a glance
Share of complaint snippets where this topic appears by platform.
This metric tracks topic presence in complaint snippets, not positive versus negative sentiment split.
Balance is praise minus complaint for this topic on the same platform.
Google Maps
Signal balance: +0.2pp
Complaint signal
0.9%
Praise signal
1.2%
Tripadvisor
Signal balance: +1.0pp
Complaint signal
1.1%
Praise signal
2.1%
How this market compares
Compare this country-level view with global cross-category patterns.
Largest gap:
Google Maps is above baseline by 0.0 points.
Google Maps
Global baseline
0.9%
Tripadvisor
Global baseline
1.2%
Platform-by-platform signal
Compare complaint and praise mentions by source, including the available baseline.
Google Maps
Complaint signal is 0.9%.
Praise signal is 1.2%.
Baseline signal is 0.9%.
Delta vs baseline is 0.1 points.
Largest difference from baseline
This is the largest measured difference between the current market and its available baseline.
Google Maps
0.0pp aboveCurrent signal is above baseline by 0.0 points (current 0.9%, baseline 0.9%).
Tripadvisor
0.0pp belowCurrent signal is below baseline by 0.0 points (current 1.1%, baseline 1.2%).
What reviewers keep mentioning
These themes appear most often in the analyzed excerpts for this market.
Google Maps
Top complaints
No WiFi
Google Maps
Top complaints
No wifi.
Google Maps
Top complaints
WiFi doesn’t work.
Google Maps
Top praises
Good Wi-Fi.
Google Maps
Top praises
Good wifi.
Google Maps
Top praises
WiFi was fast and reliable.
Tripadvisor
Top complaints
Internet connection was poor.
Tripadvisor
Top complaints
Internet did not work.
Tripadvisor
Top complaints
No wifi.
Tripadvisor
Top praises
Free WiFi.
Tripadvisor
Top praises
Free wifi.
Tripadvisor
Top praises
Good wifi.
Representative review quotes
These excerpts show the review language behind the measured signal.
Google Maps
Complaint quote
Ageing facilities, overcrowded minuscule pool, overbooked so had to sleep on sofa for two nights, frequent miscommunications (lift blocked for hours but no obvious signs so people wait and wait with no one having thought of putting up a sign), hidden fees for wifi and water which for the price charged felt unnecessary, 2 bedroom suite with living room does not even come with basic coffee machine, TV has a million channels that I don't need but no streaming site and no easy way of casting, frequent queue at reception with only part of staff mobilized by taking care of clients.
Review rating: 3.0
Google Maps
Praise quote
Location was excellent, close to most of the big stuff you want and subway connections were also excellent.
Review rating: 4.0
Tripadvisor
Complaint quote
WiFi very intermittent and slow.
Review rating: 2.0
Tripadvisor
Praise quote
From the moment we connected with the Kimpton EPIC team, we felt genuinely welcomed and cared for.
Review rating: 5.0
What the signal means
Coverage
2307 insight listings mention Wi-Fi in this scope.
Signal strength
Complaint signal is 1.0% across available platforms.
Praise signal is 1.6% across available platforms.
Next step
Pick one issue worth checking, then use recent reviews to see whether the pattern is still present.
This country view combines every indexed category with evidence for this topic in United States. Use it as a broad baseline, then open a category view before applying the pattern to a particular kind of business. Differences in complaint rate, praise rate, source mix, and excerpts show where a narrower check may be more useful.
Use the Wi-Fi signal to decide where to look, then check it against recent feedback from your own local businesses.
Evidence behind this topic
- Wi-Fi groups review language such as wifi, wi-fi, internet, connection, and network, so the signal stays tied to concrete guest wording rather than a generic score.
- United States uses 261030 analyzed reviews across 2 platforms, 38 locality records, and 2307 supporting insight listings for Wi-Fi.
- Tripadvisor has the strongest complaint signal for Wi-Fi at 1.1%, compared with a measured average of 1.0% across platforms.
- Tripadvisor has the strongest praise signal for Wi-Fi at 2.1%, compared with a measured average of 1.6% across platforms.
How reliable is this signal?
Check how much evidence is available and when it was last updated before relying on the finding.
Reviews analyzed
261,030
Platforms covered
2
Last update
September 15, 2026
Reports behind this finding
Open the source reports behind this topic to check the platform metrics and surrounding analysis.
Google Maps
HotelsWhat Google Maps reviews show about noise at Los Angeles hotels
Noise appears in the Google Maps review sample for Los Angeles hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Los Angeles · August 08, 2026
Read Full Insight
Tripadvisor
HotelsWhat Tripadvisor reviews show about amenities at Los Angeles hotels
Amenities appears in the Tripadvisor review sample for Los Angeles hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Los Angeles · August 08, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about location at Atlanta hotels
Location appears in the Google Maps review sample for Atlanta hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Atlanta · July 31, 2026
Read Full Insight
Tripadvisor
HotelsWhat Tripadvisor reviews show about service at Atlanta hotels
Service appears in the Tripadvisor review sample for Atlanta hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Atlanta · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about breakfast at Kansas City hotels
Breakfast appears in the Google Maps review sample for Kansas City hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Kansas City · July 31, 2026
Read Full Insight
Tripadvisor
HotelsWhat Tripadvisor reviews show about breakfast at Kansas City hotels
Breakfast appears in the Tripadvisor review sample for Kansas City hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Kansas City · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about amenities at Las Vegas hotels
Amenities appears in the Google Maps review sample for Las Vegas hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Las Vegas · July 31, 2026
Read Full Insight
Tripadvisor
HotelsWhat Tripadvisor reviews show about amenities at Las Vegas hotels
Amenities appears in the Tripadvisor review sample for Las Vegas hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Las Vegas · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about wifi at New York hotels
Wifi appears in the Google Maps review sample for New York hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
New York · July 31, 2026
Read Full Insight
Tripadvisor
HotelsWhat Tripadvisor reviews show about wait time at New York hotels
Wait time appears in the Tripadvisor review sample for New York hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
New York · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about room maintenance at Philadelphia hotels
Room maintenance appears in the Google Maps review sample for Philadelphia hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Philadelphia · July 31, 2026
Read Full Insight
Tripadvisor
HotelsWhat Tripadvisor reviews show about room maintenance at Philadelphia hotels
Room maintenance appears in the Tripadvisor review sample for Philadelphia hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Philadelphia · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about breakfast at Dallas hotels
Breakfast appears in the Google Maps review sample for Dallas hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Dallas · July 31, 2026
Read Full Insight
Tripadvisor
HotelsWhat Tripadvisor reviews show about breakfast at Dallas hotels
Breakfast appears in the Tripadvisor review sample for Dallas hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Dallas · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about cleanliness at Houston hotels
Cleanliness appears in the Google Maps review sample for Houston hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Houston · July 31, 2026
Read Full Insight
Tripadvisor
HotelsWhat Tripadvisor reviews show about cleanliness at Houston hotels
Cleanliness appears in the Tripadvisor review sample for Houston hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Houston · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about wifi at Seattle hotels
Wifi appears in the Google Maps review sample for Seattle hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Seattle · July 31, 2026
Read Full Insight
Tripadvisor
HotelsWhat Tripadvisor reviews show about breakfast at Seattle hotels
Breakfast appears in the Tripadvisor review sample for Seattle hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Seattle · July 31, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about cleanliness at San Francisco hotels
Cleanliness appears in the Google Maps review sample for San Francisco hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
San Francisco · July 30, 2026
Read Full Insight
Tripadvisor
HotelsWhat Tripadvisor reviews show about breakfast at San Francisco hotels
Breakfast appears in the Tripadvisor review sample for San Francisco hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
San Francisco · July 30, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about cleanliness at Miami hotels
Cleanliness appears in the Google Maps review sample for Miami hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Miami · July 30, 2026
Read Full Insight
Tripadvisor
HotelsWhat Tripadvisor reviews show about noise at Miami hotels
Noise appears in the Tripadvisor review sample for Miami hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Miami · July 30, 2026
Read Full Insight
Google Maps
HotelsWhat Google Maps reviews show about noise at Boston hotels
Noise appears in the Google Maps review sample for Boston hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Boston · July 30, 2026
Read Full Insight
Tripadvisor
HotelsWhat Tripadvisor reviews show about breakfast at Boston hotels
Breakfast appears in the Tripadvisor review sample for Boston hotels. For operators, the useful question is whether recent reviews for their own business show the same pattern; the market sample cannot diagnose one venue or explain a cause.
Boston · July 30, 2026
Read Full Insight
Keep exploring
Compare this finding with another topic or a broader market.
Compare another market
This page combines several categories in United States. Choose a category for a more precise comparison.
Look at a narrower market
See how Wi-Fi changes across a more specific category or region.
Other themes in this market
Compare other themes in United States to see whether this finding stands alone or belongs to a wider pattern.
Where to go next
Compare the broader market or return to the topic library.