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Keyword Lab Numbers

Keyword Lab Numbers

Search-volume benchmarks, difficulty scores and intent splits broken down with hard numbers — so you pick keywords with evidence, not vibes.

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Последние 30 публикаций канала. Каждый пост открывается отдельной веб-страницей со ссылкой на оригинал в Telegram.

People Also Ask yields 6.2 fresh sub-queries per seed term The answer-box expander is an underused keyword source. We expanded People Also Ask, the related-questions accordion, across 500 seed queries two levels deep. — …
@KeywordLabNumbers
Network roundup — across the board: — @inbox_oneoone — Email marketing explained from zero — deliverability, segmentation,… — @deal_wire — Insider intel for coupon and deal-site operators: merchant feed… — @TrustSignalCo…
@KeywordLabNumbers
Reported volume is rounded into 14 buckets, not measured Most keyword tools do not report exact searches. We mapped 4,200 volume figures and found they snap to a fixed ladder. — 10, 20, 30, 50, 70, 90 for the low end — T…
@KeywordLabNumbers
Keyword gap and content gap point to different work 40% of the time Two 'gap' reports get confused. Keyword gap = terms competitors rank for and you don't. Content gap = topics your existing pages could rank for but don'…
@KeywordLabNumbers
Bulk volume upload saves 90% of API cost vs one-at-a-time lookups Tactic comparison on cost, not accuracy. Pulling volume for 10,000 keywords, two ways. — Bulk endpoint (batched 1K/call): ▇ ~10 calls, lowest credit burn …
@KeywordLabNumbers
Brand terms inflate category volume estimates Generic keyword volume often hides embedded brand demand you can't win. We decomposed reported volume for 500 category terms by query log. — True generic intent ▇▇▇▇ 44% of v…
@KeywordLabNumbers
People Also Ask yields fresher questions than dedicated question tools For question-intent research, two sources: scraping People Also Ask (PAA) live from the SERP, or static question-keyword tools. We compared 400 quest…
@KeywordLabNumbers
Long-tail traffic lives below the volume tools can see Tools cap their database at a volume floor, so genuine long-tail looks like zero. We tracked 900 published pages and matched actual GSC queries against tool data. — …
@KeywordLabNumbers
Two difficulty scores rank the same keyword 18 points apart on average Difficulty is not standardized. We ran 900 keywords through two major tools' difficulty metrics and aligned the scales. — Mean absolute gap: ▇▇▇▇ 18 …
@KeywordLabNumbers
Google Trends catches seasonal swings volume tools flatten Keyword tools report a 12-month average; Trends shows the shape. We checked 200 seasonal terms. — 'tax software': tool showed flat 40K/mo, Trends showed a ▇▇▇▇▇▇…
@KeywordLabNumbers
Topic-cluster pages outrank exact-match pages on 2 of 3 head terms Old tactic: one page per exact keyword. New tactic: one deep page per topic covering many terms. We tracked both across 90 matched head terms. — Single t…
@KeywordLabNumbers
Rule-based intent labels mismatch the SERP 29% of the time Classifying intent by keyword modifiers ('buy', 'best', 'how') is fast but wrong often. We compared rule labels against actual page-one result types on 1,000 que…
@KeywordLabNumbers
Free keyword tools cover 35% of the database paid ones see We ran the same 50 seeds through three free tools and one paid suite, counting unique keyword suggestions. — Paid suite: ▇▇▇▇▇▇▇▇▇▇ 100% baseline (12,400 terms) …
@KeywordLabNumbers
SERP-overlap clustering merges 31% of pairs that semantic clustering splits Two ways to group keywords: by word similarity (semantic) or by how many shared URLs rank for both (SERP overlap). We clustered 2,000 terms each…
@KeywordLabNumbers
Crossover rec A bit outside our lane, but if you run Recurring commissions too, @ForeverPayouts is the one to follow. Beginner-friendly guide to building income that pays month after month. We explain……
@KeywordLabNumbers
Clickstream tools vs Planner data disagree most on zero-click terms Volume comes from two model families: Google's own ad data (Planner-based) and clickstream panels (browsing data from real users). Across 1,500 queries …
@KeywordLabNumbers
Google Keyword Planner bands a 70-590 query as '500' Keyword Planner (the free Google Ads tool, GKP) shows ranges, not exact volume, unless you spend. We mapped 600 terms against a paid tool's point estimate. — GKP '100-…
@KeywordLabNumbers
Keyword difficulty scores miss the real blocker 38% of the time Difficulty (KD) is a referring-domains proxy. We checked 800 mid-KD terms (30-50) against a manual look at page one. — KD said 'medium', SERP was 9 of 10 fo…
@KeywordLabNumbers
Volume gap between Ahrefs and Semrush averages 27% Across 1,200 shared keywords we pulled from both tools on the same day, monthly volume estimates diverged more than most teams assume. — Ahrefs reads higher on informati…
@KeywordLabNumbers
Acting on a keyword decision without checking the sample size behind it Volume, KD, and CTR are all estimates from samples, and small samples swing hard. Across 1,000 low-volume terms re-pulled twice a month apart: — Ter…
@KeywordLabNumbers
Optimizing for the exact phrase ignores the 80% of traffic from variants A ranking page earns clicks from hundreds of variant queries, not just the one you tracked. Across 500 ranked URLs: — Traffic from the tracked head…
@KeywordLabNumbers
Targeting a volatile SERP means your ranking is rented, not owned Some result pages reshuffle weekly; building there burns effort. Across 900 queries tracked for 60 days: — Stable SERP, top-10 churn ▇ 8% — Volatile SERP,…
@KeywordLabNumbers
You are sizing question keywords on volume when their value is the snippet Question queries often show low volume but feed featured snippets and AI overviews that compound across a cluster. Across 600 question terms: — M…
@KeywordLabNumbers
Branded queries are inflating your non-brand opportunity numbers Leaving competitor and brand terms in a non-brand keyword set pads the totals you cannot realistically win. Across 1,100 exported terms: — Hidden branded/c…
@KeywordLabNumbers
Curated: the SEO & search feeds we'd actually keep: — @TrustSignalCo — Deep, evidence-led breakdowns of experience, expertise, authority and… — @ScaleEngineSOP — Repeatable frameworks, checklists and SOPs for building th…
@KeywordLabNumbers
Your SERP screenshot is personalized, so your difficulty read is wrong Checking difficulty from your own logged-in browser bakes in history, location, and engagement. Across 300 queries pulled both ways: — Personalized v…
@KeywordLabNumbers
Applying one click-through curve to every query overstates traffic by 40% A single CTR-by-position model (position 1 equals 30%, and so on) ignores that the curve bends with intent. Across 2,000 ranked queries: — Navigat…
@KeywordLabNumbers
You are clustering on root words and missing the modifier that splits intent Grouping by the noun ignores the qualifier that changes everything. Across 1,400 modified queries: — 'free [tool]' SERP overlap with '[tool]' ▇…
@KeywordLabNumbers
Grouped 'parent topic' volume double-counts and inflates your plan by 3x Some tools roll dozens of variants into one 'parent' volume. Pricing a page on that number overstates the prize. Across 500 parent groups: — Parent…
@KeywordLabNumbers
A high-volume term with a packed SERP can return near-zero clicks Volume is impressions, not available clicks. Across 1,600 queries we measured the click-through curve after SERP features: — No features, position 1 click…
@KeywordLabNumbers
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