How People Describe Hair Problems Before They Know What's Wrong: An Analysis of 3,784 Google Searches | Cache' Salon Hanford
How People Describe Hair Problems: Analysis of 3,784 Google Searches
When something changes with your hair, you may know something is wrong long before you know what to call it.
Your hair feels sticky.
Or unusually dry.
Maybe it gets greasy right after you wash it. It stretches when it's wet. Your curls suddenly won't hold. Your ends keep tangling even after you've conditioned them.
So you do what millions of people do when something doesn't make sense:
You ask Google.
At Cache' Salon, we've spent years listening to clients describe their hair this way. But after publishing an extensive library of hair education, we realized we had another source of information available to us: the actual language people use when searching for answers.
So we studied it.
We analyzed 28 days of anonymized Google Search Console data showing the searches that caused Cache' Salon pages to appear in Google results.
The complete dataset contained 9,697 distinct visible search queries.
For this study, we isolated 3,784 distinct searches related specifically to hair concerns, symptoms, condition, texture, styling behavior, or scalp concerns.
What we found reinforces something hairstylists see every day:
People usually know what their hair is doing before they know what's causing it.
Quick Answer: What Did We Learn From 3,784 Hair Searches?
In our analysis, people were far more likely to describe a symptom, sensation, or behavior than to search using a technical hair diagnosis.
Approximately 69.6% of the hair-concern queries we analyzed contained sensory or behavioral language—words describing hair as dry, greasy, sticky, waxy, tangled, gummy, stretchy, brittle, frizzy, heavy, flat, broken, or behaving differently than expected.
By comparison, about 4.0% used one of the more technical diagnostic terms we tracked, such as porosity, protein overload, moisture overload, hard water, cuticle, elasticity, or buildup.
Those categories can overlap, and they should not be interpreted as mutually exclusive groups.
But the difference reveals something important:
People tend to search for what they can observe before they search for an explanation.
Finding 1: Nearly 7 in 10 Hair-Concern Searches Described What the Hair Was Doing
Of the 3,784 hair-concern queries in our analysis, 2,633—or 69.6%—contained sensory or behavioral language.
People searched for hair that was:
dry
greasy
sticky
waxy
tangled
gummy
stretchy
brittle
frizzy
heavy
flat
breaking
behaving differently when wet
That makes sense.
You don't need to understand hair structure to know that your hair suddenly feels strange.
You don't need to understand porosity to notice that your hair behaves differently around water.
And you don't need to understand chemical damage to know that your hair doesn't feel the same after it was lightened.
What you're experiencing is often the symptom.
The harder question is what caused it.
That distinction matters because similar symptoms can have very different causes.
Finding 2: Technical Hair Language Was Much Less Common
We also tracked searches containing terminology people often encounter in professional hair education or online haircare discussions.
These included terms such as:
porosity
protein overload
moisture overload
hard water
cuticle
elasticity
buildup
Only 151 distinct queries—about 4.0% of the hair-concern dataset—contained one of the technical diagnostic terms we tracked.
Again, this is not a perfect symptom-versus-diagnosis comparison. A query can contain language from both groups, and our technical vocabulary was intentionally defined before categorizing the searches rather than attempting to include every possible technical hair term.
Still, the difference was substantial.
Sensory and behavioral descriptions appeared in roughly 17 times as many distinct queries as the technical diagnostic terms we tracked.
That suggests something we think is important when giving hair advice:
Start with what the person is experiencing.
The diagnosis comes later.
A person searching for "sticky hair after washing" doesn't necessarily need a product for sticky hair.
They need to figure out why their hair feels sticky in the first place.
Finding 3: More Than Half of Hair-Concern Searches Were Questions
The structure of the searches was almost as interesting as the words themselves.
Among the 3,784 hair-concern searches:
32.1% began with "why."
And 52.2% began with a question word such as:
why
how
what
does
is
can
should
People weren't simply naming a hair condition.
They were asking for an explanation.
That distinction is important.
Compare:
dry hair
with:
why does my hair feel dry after washing
The first names a subject.
The second describes an experience, provides context, and asks for a cause.
That's much closer to the conversation that happens behind the chair.
Finding 4: Hair Searches Were Surprisingly Personal—and Detailed
Another 41.0% of the hair-concern searches contained first-person language such as "my," "I," or "me."
And the searches weren't particularly short.
The median hair-concern query contained six words, while 62.5% contained six words or more.
In other words, many people aren't approaching Google like an old-fashioned keyword database.
They're explaining what's happening to them.
The searches in our dataset included questions structured around experiences such as:
hair becoming dry after washing
hair feeling greasy even after shampooing
hair becoming sticky or waxy
curls no longer behaving normally
hair stretching differently when wet
hair becoming tangled after washing
That is much closer to:
"Here's what my hair is doing. Why?"
than:
"Tell me about haircare."
Finding 5: The Shower Is a Major Moment of Hair Confusion
One result stood out enough that we think it deserves its own finding.
We identified 526 distinct hair-concern searches that explicitly described something happening after washing, shampooing, or showering.
That's 13.9% of the entire hair-concern dataset.
People described hair becoming:
dry after washing
greasy after washing
waxy after washing
sticky after washing
tangled after washing
brittle after washing
Why is that interesting?
Because washing your hair removes some of the variables that exist throughout the rest of the day.
That's often when people pay attention to how their hair feels without styling, environmental exposure, or the same amount of accumulated oil.
It can also be when problems become more noticeable.
But "after washing" still isn't a diagnosis.
Dryness after washing might involve the cleansing routine, existing damage, product choices, water exposure, or other factors.
A coated feeling might involve product residue or buildup.
Tangling might involve damage, friction, texture, or conditioning needs.
Finding 6: Dryness Was the Most Common Symptom Family We Identified
After separating actual dryness concerns from searches about drying speed, blow drying, air drying, and dry shampoo, approximately 1,247 distinct searches contained dry, rough, or brittle symptom language.
That's roughly one-third of the 3,784 hair-concern queries we analyzed.
But dryness wasn't the only recurring theme.
Hair concern family | Distinct search queries | Approx. share of concern dataset |
Dry / rough / brittle | 1,247 | 33.0% |
Oily / greasy / residue | 712 | 18.8% |
Curl behavior | 429 | 11.3% |
Tangling / knots | 339 | 9.0% |
Damage / breakage | 328 | 8.7% |
Wet-hair behavior | 322 | 8.5% |
Texture / sudden change | 209 | 5.5% |
Frizz / puffiness | 208 | 5.5% |
Scalp concerns | 172 | 4.5% |
Heat styling | 169 | 4.5% |
Porosity | 81 | 2.1% |
Important: These categories overlap. One search can belong to multiple concern families, so the percentages should not be added together.
And that overlap led us to another interesting finding.
Finding 7: Real Hair Problems Don't Fit Neatly Into Categories
Hair education is often organized into clean categories.
Dry hair.
Oily hair.
Damaged hair.
Frizzy hair.
But that's not always how people experience it.
We found searches combining symptoms that might initially sound contradictory.
For example, people searched about hair that felt both:
dry and greasy
dry and sticky
oily at the scalp but dry through the hair
dry and frizzy
dry and damaged
sticky and tangled
We identified 58 distinct searches combining dry or rough language with oily, greasy, or residue-related language alone.
That's an important reminder:
Two symptoms can exist at the same time.
Someone can have an oily scalp and dry ends.
Hair can have buildup and still be damaged underneath it.
Hair can feel dry while also being weighed down by products.
Treating one word as the entire diagnosis can lead you in the wrong direction.
Finding 8: "Stretchy," "Gummy," and "Mushy" Hair Aren't Just Internet Oddities
Some of the strangest-sounding hair descriptions in our educational library turned out to appear repeatedly in actual search language.
Within the 28-day dataset, we found:
80 distinct queries containing "stretchy"
62 containing "gummy"
23 containing "mushy"
When we expanded the group to include gummy, stretchy, mushy, rubbery, or elastic language, we found 199 distinct searches.
The broader wet-hair behavior category contained 322 distinct queries.
These words matter because wet hair can reveal changes that aren't as obvious when the hair is dry.
But once again, the word itself isn't the diagnosis.
Hair that feels gummy after bleaching, for example, deserves a different investigation from hair that simply feels coated by heavy products.
What This Search Data Taught Us as Hairstylists
The biggest lesson wasn't that dry hair is common.
We already knew that.
It wasn't that people worry about breakage, tangling, grease, curls, or damage.
We knew that too.
The interesting part was how people described those problems before they knew what was causing them.
The language usually started with observation:
"My hair feels..."
"Why does my hair..."
"After I wash my hair..."
"Why won't my hair..."
That is remarkably similar to how a good consultation begins.
A client doesn't need to arrive knowing whether she has high porosity, chemical damage, buildup, insufficient conditioning, or something else.
She needs to accurately describe what's happening.
The stylist's job is to ask the next question.
Professional Insight From Cache' Salon
At Cache', we believe one of the biggest mistakes in haircare is jumping from a symptom directly to a product.
Dry?
Buy moisture.
Breaking?
Buy protein.
Greasy?
Clarify.
Frizzy?
Add oil.
Sometimes that works.
Sometimes it makes the problem worse.
The better process is:
What changed?
When did it start?
What does the hair feel like wet and dry?
What chemical services has it had?
What products are being used?
What happens after washing?
What happens when heat is applied?
The answer usually becomes clearer when you stop treating one symptom as the diagnosis.
🌿 Free Hair Reset Guide
Stop Guessing. Start Understanding Your Hair.
If your hair feels dry, sticky, waxy, tangled, coated, greasy, or simply different than it used to, buying another random product may not be the best first step.
The Hair Reset is designed to help you slow down, look at the clues your hair is giving you, and understand what may be happening before you build another routine around the wrong problem.
The Bigger Lesson: Describe First. Diagnose Second.
After analyzing 3,784 hair-concern searches, our biggest takeaway is surprisingly simple:
People are often very good at noticing that something has changed with their hair. They just don't necessarily know why.
That's normal.
"Sticky" is useful information.
So is "stretchy."
So is "greasy after washing."
So is "my curls suddenly won't hold."
Those aren't diagnoses.
They're clues.
And whether you're searching Google, talking to your stylist, or trying to understand your hair at home, describing those clues accurately is often the best place to start.
Frequently Asked Questions
Why did Cache' Salon conduct this research?
We wanted to understand how people naturally describe hair problems before they know what's causing them. Search data gave us a way to examine real language rather than asking people to choose from predefined survey answers.
How many searches did you analyze?
Our complete 28-day dataset contained 9,697 distinct visible Google search queries that surfaced Cache' Salon content. We isolated 3,784 distinct queries related specifically to hair concerns, symptoms, condition, texture, styling behavior, or scalp concerns for this analysis.
Where did the data come from?
The data came from Google Search Console, which reports search queries associated with a website appearing in Google Search results. Google describes the query dimension as the search query a user typed.
Does the dataset include every Google search that showed Cache'
Salon?
No. Google omits some rare or anonymized queries to protect user privacy and notes that query-level data can therefore differ from overall performance totals.
Why can the concern percentages add up to more than 100%?
Our concern categories intentionally overlap. A search describing hair as both "dry" and "frizzy," for example, can belong to both categories. The categories should therefore not be added together.
Does a word like "gummy" or "sticky" tell you what's wrong with your hair?
No. Those words describe symptoms or sensations. Multiple underlying causes can produce similar experiences, which is why we recommend using the symptom as a starting point rather than treating it as a diagnosis.
Why are so many searches about hair after washing?
Our data shows that post-wash concerns are common, but the dataset cannot tell us why people search at that moment. Washing may make certain problems easier to notice, but determining causation would require additional research.
Was this a survey of Cache' Salon clients?
No. This was an analysis of non-anonymized Google Search Console queries that caused Cache' Salon pages to appear in search results. We did not attempt to identify individual searchers.
Can this study represent everyone who searches for hair advice?
No. This dataset reflects queries for which Cache' Salon appeared in Google Search during one 28-day period. Because Cache's existing content influences which searches can surface the site, the results should not be interpreted as a representative sample of all Google hair searches.
Will Cache' Salon update this research?
As our dataset grows, we plan to continue studying how people search for hair information and whether the language and concerns we observe change over time.
Methodology
Cache' Salon analyzed Google Search Console query data covering August 22 through
September 18, 2026, a 28-day period.
The source dataset contained 55,045 query-page observations and 9,697 distinct visible search queries associated with Cache' Salon appearing in Google Search. The underlying collector records the query, date, page, clicks, impressions, and related Search Console metrics. The uploaded research dataset contains those query/page observations beginning August 22.
For this study, 3,784 distinct queries containing language associated with hair concerns, symptoms, condition, texture, styling behavior, or scalp concerns were isolated and analyzed.
Queries were grouped using predefined keyword families. Categories were allowed to overlap because one search can describe multiple symptoms.
Counts in this article refer to distinct query phrases, not individual people. One person can perform multiple searches, and the data does not allow us to determine how many individual people generated the queries.
Google states that some rare queries are omitted from Search Console reporting to protect privacy and that Search Console stores top data rows rather than every possible query row. The dataset therefore should not be interpreted as every Google search that surfaced Cache' Salon during the period.
The analysis describes search language associated with Cache' Salon's visibility. It does not establish the prevalence of particular hair conditions in the general population and does not establish why searchers experienced the symptoms they described.
Written by Tammy Brown
Owner of Cache' Salon in Hanford, CA
18-year cosmetologist specializing in color, transformations, and education.
Comments