Los Angeles County residents
2025 population estimateA huge market.
A small measured footprint.
Los Angeles has scale, linguistic complexity, and unequal injury exposure. Stenson's current website has real content and trust signals, but its conversion path, technical health, and traffic remain partly invisible.
language other than English at home
Age 5+ · ACS / QuickFactsauto bodily-injury claims / month
Planning baseline, not claimant demanddiscovered URLs returning HTTP 200
15 discovered URLs returned 404Build bilingual intake and target high-injury corridors, but let client language, signed matters, fees, and source data decide the actual market—not county population shares.
Half the county is Latino.
More than half is multilingual.
This is the planning context for service design and intake. It is not a proxy for who gets hurt, hires a lawyer, or becomes a profitable client.
Detailed Census race-alone rowsOpen source definitions+
These rows use Census race-alone definitions and may overlap with Hispanic origin. Keep them out of a mutually exclusive stacked chart.
| Reported row | Share | People, approximate |
|---|---|---|
| Asian alone | 16.4% | 1.59M |
| Black alone | 8.9% | 0.86M |
| Two or more races | 3.5% | 0.34M |
| American Indian / Alaska Native alone | 1.7% | 0.16M |
| Native Hawaiian / Pacific Islander alone | 0.4% | 39k |
Spanish matters to intake more than keyword language.
Many Spanish-speaking households search in English and still want a Spanish-speaking human when the call becomes personal.
Headcount is a prior.
Exposure changes the need.
The allocation below answers one narrow hypothetical: what would 8,700 monthly auto bodily-injury claims look like if injury risk were equal across groups? It is not observed claimant demand.
8,700 monthly auto BI claims
Planning math only. Do not use this as “who needs John.”
of workers drive alone
Exposure follows miles and time in cars, not population alone.California uninsured-driver estimate
Statewide 2023 estimate; local ZIP-level rates vary.LA City High Injury Network
Share of city streets → pedestrian fatal/severe collisions.Black pedestrian deaths / population
California 2021; race was missing in many records.male pedestrian fatalities
California 2023; occupant-injury sex split was not available.Target service and corridors.
Do not target identities.
- 01
Auto dominates PI volume. Driving exposure, trip distance, road design, and insurance status matter more than raw county share.
- 02
Pedestrian and bike harm is more concentrated. UCLA found Black people overrepresented across modes and disparities affecting Black and Latino pedestrians.
- 03
Age changes case mix. Working-age adults carry lost-wage claims; children appear more in dog bites; older adults appear more in falls and pedestrian harm.
- 04
Language is an intake requirement. Staff Spanish—and test other language lines—because people need to be understood, not because Spanish SEO should equal the Latino population share.
Aim by case, corridor,
and call path.
The county profile is the backdrop. The targeting map begins with how someone gets hurt, where they are, what they search, and whether the firm can serve them in the language they trust.
Do not turn census shares into media shares. Use English lawyer-intent, high-injury geography, bilingual intake, and Filevine outcomes to decide where the next dollar goes.
English-searching Latino households
Win the English search. Make the human handoff bilingual.
- Capture
- GBP + LSA, English money pages, Spanish human in under five minutes, bilingual SMS or WhatsApp follow-up.
- Street
- Chiros, body shops, churches, and other lawyers in East LA, SGV, and South Bay.
Spanish-dominant households
Serve the call, the family, and the paperwork—not a census percentage.
- Capture
- One excellent
/es/hub, car page, and contact page. “Hablamos español” on GBP, greeting, and retainer. - Street
- Family referrals, churches, and selected Spanish radio only when intake can close the loop.
Pedestrian / High Injury Network
This is a harm-and-geography play, never a race-targeting play.
- Capture
- Pedestrian pages, GBP posts, and geo-radius search around South LA, East LA, DTLA, Pacoima, Long Beach, and Wilmington.
- Street
- Community organizations, churches, clinics, and local referral partners in the same corridors.
Working-age drivers
Meet the crash where it happens: commute corridors, evenings, and weekends.
- Capture
- LSAs, lawyer-intent Google Ads, near-me pages, and a fast after-hours answer path.
- Street
- Body shops, tow operators, dealership service, motorcycle shops, and bike shops.
UM / hit-and-run
Build the California page and teach intake to explain: “We look at your own uninsured-motorist coverage.” Do not invent a new audience.
Asian LA is not one market
Koreatown, SGV Chinese, Glendale Armenian, and Filipino communities need distinct phone-language and referral choices. Pick one only when the roster proves it.
Westside / mill shoppers
Use reviews and the local-vs-national comparison pages. Competition may be higher and case value may be better, but this is one lane—not the whole firm.
- 01
Keywords English lawyer-intent first. Add Spanish exact-match only after signed-case data supports it.
- 02
Geography Tight radii around High Injury Network corridors and the Flower St office—not all of LA County.
- 03
Language Campaign language is not the person. Pair English keywords with a Spanish call path.
- 04
LSAs Keep the profile bilingual and let location do the matching.
- 01
One weekly corridor Every office on the route has a named Filevine source.
- 02
Other lawyers Build relationships with firms that do not want smaller auto matters.
- 03
Past clients Ask in the language they used with the firm: “If your cousin gets hit, call me.”
Four shortcuts that create bad strategy.
- Split budget 49 / 25 / 16 / 9 to mirror the census.
- Make Spanish SEO 49% of the plan.
- Use race targeting for legal ads; use ZIP, case type, and language path.
- Build Korean, Chinese, or Armenian sites before one language produces real cases.
What language is used across the current 40-case roster, and which ZIP codes do those clients live in?
That answer becomes the first real targeting map. Census remains context.There is a real site.
It is carrying unfinished machinery.
The crawl found useful pages and substantial article copy. It also found broken URLs, indexable theme residue, conflicting identity facts, and weak on-page intake.
discovered URLs
This is crawl health, not Google index coverage. Search Console is required to know what Google actually indexed and served.
Pages by job
Grouped from 55 crawl records.
crawl rows contain a form; 49 contain none.
Most money pages force a call or another page.rows have no meta description.
Metadata is not ranking magic, but missing descriptions waste control.rows show the 888 number / 310 number.
Many pages expose both, weakening trust and attribution.image rows + PDF row.
Seven asset rows have no alt/title value.median words across 12 live practice rows.
Length does not prove usefulness, originality, or conversion.words on the live team/attorney row.
The named-attorney advantage is barely represented.WordPress + Elementor is doing too much.
Observed components include WP Engine, Cloudflare, Hello Elementor, Elementor Pro, Revolution Slider, Yoast, Contact Form 7, CookieYes, Site Kit, Trustindex, Instagram Feed, Jeg Elementor Kit, EWWW, and AccessPress.
- 2019
Theme-demo portfolio and slider residue remains.
- 2023
Footer copyright is frozen at “Stenson Law ® 2023.”
- 2024
Last blog modification in the sitemap: April 9.
- 2025
Last observed campaign modification: January 6.
The current mobile page
makes visitors wait.
One repeatable Lighthouse observation on August 27, 2026. Lab scores vary by run; this is a dated diagnostic, not an uptime or field-user guarantee.
The rebuild target is not “a better score.” It is a materially faster path from landing to a trusted call, form, or human response.
A 92 SEO score only means Lighthouse found many technical basics. It does not mean the firm ranks. One dated generic DTLA search did not show Stenson in the visible ads, local results, or first organic page.
Traffic is knowable.
It is not publicly proved.
No defensible domain-specific visitor estimate surfaced from the public tools checked. Smaller sites are often below reliable third-party measurement. Use owned analytics for decisions.
Monthly users and sessions
Google Analytics 4Organic clicks and impressions
Google Search ConsoleTop queries and landing pages
Search Console + GA4Calls, forms, chats, signed cases
CallRail + FilevineVisibility exists.
Volume remains unknown.
- 01
Brand search resolves the firm. That proves entity discovery, not traffic volume.
- 02
Google showed 4.9 stars and 35 reviews. The website widget showed 21 and Birdeye showed 162–170, so the surfaces disagree.
- 03
One generic DTLA query did not show Stenson. That is a dated observation, not a rank tracker.
- 04
Google Site Kit is installed. Analytics may already exist, but ownership, configuration, and usable history are unknown.
Queries, pages, index coverage, geography, and click-through rate.
Users, landing paths, calls/forms/chats, and conversion definitions.
Turn traffic into good leads, signed matters, fees, and source truth.
Every number says what it is.
Public links plus private project crawl evidence.
The demographic percentages and 8,700-claim allocation are the supplied planning baseline. Public source vintages change; refresh them before external publication. Crawl counts come from the preserved August 27 site-doc exports. Traffic and conversion remain unknown until owned accounts are connected.