Strive LeadGen Field ManualState reportGutters and windows / District of ColumbiaData Sep 2025 to Aug 2026

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Market brief / DC

Gutters and windows search demand in District of Columbia

What District of Columbia customers search for, what advertisers pay, and how the market compares.

ReportDC-GUTTERS-AND-WINDOWS

Market
District of Columbia
Industry
Gutters and windows
Search terms
16
Data window
Sep 2025 to Aug 2026
Pulled
Oct 5, 2026

Market brief / Gutters and windows in District of ColumbiaPage 1 of 1

ABottom line

A lower-half market with bid estimates 53% above the typical state.

Short answer

District of Columbia is in the lower half of 51 markets (the states and DC with data) for breadth of gutters and windows search demand, with 16 distinct search terms at 100 or more searches a month. The median top-of-page bid is $30.57, 53% above the typical state ($19.93). Advertisers bid more here than in most states, which makes organic visibility worth more.

BTop searches

The most-searched gutters and windows terms in District of Columbia, ranked by Google's monthly search range and then by bid. Close variants (the same words in a different order) are shown once, and brand, retailer and DIY searches are left out.

Table B.1 / Top searches, District of Columbia
Search termMonthly searches in District of ColumbiaTop-of-page bid
window replacement companies 100-1K $351.49
window replacement contractors 100-1K $351.49
window replacement 100-1K $171.82
gutter guards 100-1K $38.65
rain gutter guards 100-1K $38.65
eavestrough gutter guards 100-1K $38.65
window casement 100-1K $31.08
hinged windows 100-1K $31.08
transom window 100-1K $30.07
double hung windows 100-1K $21.75
sidings 100-1K $17.00
vinyl siding 100-1K $13.36

Google Ads Keyword Planner, District of Columbia, Sep 2025 to Aug 2026. Bids are Google's high-range top-of-page estimates, not cost per lead. Urgent and Near me tags are matched from the words in each term. Method.

CWhat it means

What this means for a gutter and window company in District of Columbia

  1. C1
    Advertisers bid more here.At a $30.57 median top-of-page bid estimate, every ranking you earn in the Map Pack or organic results replaces clicks that are priced higher in District of Columbia than in most states.
    What to doPut organic work first, and judge paid campaigns on cost per booked job, not cost per click.
  2. C2
    For the top 10% of terms, Google's top-of-page bid estimate (high range) is $351.49 or more.Those are usually the high-intent searches.
    What to doRank organically for them: that is where the biggest savings sit.
  3. C3
    Total demand is modest.Each lead carries more weight, so tracking every one to a booked job matters more than chasing volume.
    What to doOne well-built site with strong service pages can often cover the whole state.
  4. C4
    Search demand per resident is below the national average.Index 61, where 100 is the US average.
    What to doPlan targets on the state’s own numbers, not national averages.

DHow District of Columbia compares

District of Columbia against its nearest markets

Table D.1 / Nearest markets by breadth of demand
RankStateDistinct termsMedian bid estimatePer resident
44Hawaii28$4.7151
45Delaware24$14.5061
46District of Columbia16$30.5761
47Vermont14$25.3457
48South Dakota13$20.0089
Typical state (median)$19.93100

Google's ranges are wide, so states close together should be treated as similar. Method.

EWhere to start

Where to start

The full playbook for gutter and window companies, including job values, channels and a 90-day plan, is in How can a gutter and window company get more customers?. For the channels behind the numbers above:

FIndex

Other industries in District of Columbia

Google Ads Keyword Planner, District of Columbia, Sep 2025 to Aug 2026Methodology

Disclosure. Strive LeadGen is a new company (founded 2026) building lead generation sites and flat-fee marketing for businesses like these. It has no clients yet. Guides cover channels Strive does not sell and cite their sources. Market figures are Strive's analysis of Google Keyword Planner data (method).

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