A/B Test Sample Size Estimator
Estimate per-variant sample size for two proportions from a baseline rate and minimum relative uplift.
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Search locally across the loaded directory, then narrow by category and optional editorial labels.
Level and opportunity are optional editorial labels. They are not live keyword difficulty, search-volume, competition, traffic, or ranking data.
Estimate per-variant sample size for two proportions from a baseline rate and minimum relative uplift.
Summarize a pasted anchor inventory by user-assigned type without prescribing a magic ratio.
Review a proposed link using user-assessed relevance, placement, editorial control, destination value, and disclosure.
Review manually observed link-pattern signals without presenting a proprietary spam score or taking removal action.
Convert user-supplied sessions and bounced sessions into simple complementary rates.
Convert ordered label and URL rows into BreadcrumbList JSON-LD.
Prepare a manual outreach note only after you have independently verified a broken reference and a genuinely relevant replacement.
Create several deterministic CTA variations from an action, benefit, and selected tone.
Find supplied queries associated with multiple supplied URLs so an editor can review intent overlap manually.
Normalize an absolute HTTP or HTTPS URL and produce a canonical link element.
Convert text to sentence case, title case, lowercase, uppercase, camelCase, or snake_case.
Validate user-entered video chapters for parseable, increasing timestamps within a supplied duration.
Count characters with spaces, characters without whitespace, lines, and UTF-aware code points.
Turn reviewed keyword, intent, and audience rows into a consistent batch of concise editorial brief shells.
Generate several opening-hook drafts from a topic, audience problem, promise, and tone.
Prioritize supplied page records using age, observed click change, observed position change, and business importance.
Calculate the percentage of visits or leads that completed a defined conversion.
Estimate a Wilson confidence interval for a user-supplied conversion count and sample size.
Classify user-entered LCP, INP, and CLS measurements against stored good/needs-improvement/poor reference thresholds.
Calculate average cost per click from spend and clicks.
Calculate cost per one thousand impressions.
Calculate view rate and engagement-per-view from creator-provided follower, view, and engagement totals.
Calculate click-through rate from clicks and impressions.
Estimate gross-profit customer lifetime value from order value, purchase frequency, margin, and retention period.
Convert a real asset, audience need, evidence type, and timing into reviewable story-angle prompts.
Calculate per-unit savings, discount percentage, and total order savings.
Remove repeated non-empty lines while preserving the first occurrence and original order.
Assemble a plain inbox-preview simulation and a safe hidden preheader HTML snippet.
Review length, word count, punctuation, capitalization, personalization tokens, and common urgency language.
Estimate relative form friction from field counts, sensitive fields, steps, and progress feedback.
Calculate step conversion and drop-off rates from an ordered list of user-entered stage counts.
Create concise profile-description drafts from factual business details without accessing or editing a live listing.
Format supplied topics as clean hashtags and create compact grouped variants without popularity claims.
Deduplicate user-supplied hashtags and distribute them into compact, reusable editorial sets without popularity claims.
Extract HTML or Markdown H1–H6 headings and flag skipped heading levels.
Score an editorial headline with transparent length, clarity, number, question, and word-variety checks.
Generate alternate-language link tags from reviewed language-code and URL pairs.
Prepare a concise, personalized link outreach draft that must be reviewed and sent manually.
Estimate per-page and monthly transfer savings from user-supplied current and target image sizes.
Suggest internal source pages from a user-supplied URL and topic inventory using disclosed lexical overlap.
Group a user-supplied keyword list by shared normalized terms using a disclosed lexical rule.
Count exact, case-insensitive phrase occurrences and compare them with the total word count.
Classify pasted keyword and difficulty values into editable easy, medium, and competitive planning bands.
Combine user-entered search estimates, an external difficulty value, relevance, business value, and current position into a transparent planning score.
Rank user-supplied keyword rows with a disclosed planning formula and retained source context.
Normalize mixed keyword-source rows into an attributable CSV while preserving geography, language, and measurement labels.
Review supplied headline and CTA copy for action, benefit, audience, specificity, and consistency.
Classify supplied above- and below-fold image and iframe counts into initial-load and lazy-load candidates.
Combine four user-assessed signals into a transparent 0–100 prioritization score.
Suggest a conservative disclosure and rel-attribute review from the relationship you identify.
Score one manually researched prospect from relevance, audience fit, editorial fit, contactability, and supplied risk flags.
Organize one manually verified unlinked mention or outdated link into a factual reclamation checklist.
Calculate great-circle distance between two user-entered latitude/longitude pairs without geocoding or maps.
Combine services, locations, and optional modifiers supplied by the user without claiming volume or ranking potential.
Build a location-page outline around one real service, area, audience, and proof point.
Generate starter LocalBusiness JSON-LD using a factual name, URL, telephone, and postal address.
Combine a seed phrase with modifiers and locations you provide; no search-volume or ranking claims are made.
Distribute a total budget across awareness, consideration, and conversion percentages, normalizing them if needed.
Calculate net marketing return and ROI from attributable revenue, gross margin, and campaign cost.
Generate escaped HTML title, description, canonical, and robots tags from values you control.
Normalize a business name, address, phone, and website into a reusable canonical reference block.
Create escaped Open Graph tags for a webpage title, description, URL, image, and content type.
Convert reviewed day and time rows into OpeningHoursSpecification JSON-LD fragments.
Compare supplied HTML, CSS, JavaScript, image, font, and third-party transfer sizes with a chosen budget.
Create Markdown show notes from an episode title, summary, guest, topics, resources, and CTA.
Calculate bundle list value, customer savings, total cost, profit, and gross margin from supplied numbers.
Create a structured writing brief using audience, features, proof, use cases, and care information supplied by the merchant.
Generate escaped title, description, and canonical tags for a product from supplied facts.
Generate factual Product and Offer JSON-LD without ratings, reviews, or live inventory connections.
Review a product title for length, supplied brand and key phrase, repetition, and basic readability.
Create a reviewable canonical mapping for supplied product-variant URLs under one selected strategy.
Calculate gross profit, operating profit, gross margin, and operating margin from business inputs.
Estimate reading ease from sentence length and syllable heuristics, with transparent limitations for English prose.
Create a single permanent redirect draft for Apache or Nginx after validating its source path and destination URL.
Prepare a respectful response draft from a supplied review and rating without inventing customer history or a resolution.
Calculate return on ad spend from attributed revenue and advertising cost.
Create one robots meta tag with indexing, following, snippet, preview-image, and video-preview directives.
Build a conservative robots.txt draft with a user agent, optional disallow paths, and sitemap location.
Generate truthful starter JSON-LD for an Organization, Article, or LocalBusiness from visible facts you provide.
Classify pasted Search Console-style query rows from the clicks, impressions, and position values you supply.
Classify supplied phrases with transparent lexical cues for informational, navigational, commercial, transactional, or local intent.
Convert a title into a concise lowercase URL path segment with optional stop-word removal.
Organize manually observed result-page entries without crawling a search engine or claiming stable rankings.
Preview how a proposed title, URL, and description may look in a simplified search-result card.
Deduplicate supplied service locations and produce a readable area-served sentence plus a JSON array.
Create a consistent uppercase SKU from supplied brand, product, color, and size tokens.
Create a simple Unicode code-point estimate and compare it with an editable platform reference value.
Review pasted WordPress tag names and counts for duplicates, thin terms, and naming inconsistencies before any manual change.
Compare two supplied texts with word-set Jaccard similarity; this is not a plagiarism or copyright verdict.
Review thumbnail wording for word count, character count, repeated punctuation, and overlap with the video title.
Arrange a core topic and reviewed subtopics into a transparent pillar-and-cluster planning outline.
Inspect a URL and optionally remove common tracking parameters and its fragment while preserving functional parameters.
Add encoded UTM campaign parameters to a valid destination URL while preserving unrelated query parameters.
Create a description outline from a topic, audience, key points, source note, and call to action.
Normalize supplied video-topic phrases into a unique comma-separated tag list within a user-selected count.
Review a supplied video title for length, phrase presence, specificity, punctuation, and readability.
Generate starter VideoObject JSON-LD from a supplied title, description, URLs, date, and duration.
Count words, sentences, paragraphs, and estimated reading time for pasted content.
Generate a summary or large-image card metadata block from values you provide.
Create a small valid XML sitemap draft from absolute URLs for testing or a limited static website.
Clear one or more filters. Tools without optional editorial labels are excluded when a level or opportunity is selected.
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