Paid/Organic Overlap Quadrant
Free, no signup. Find terms that are strong in both channels, paid-only content gaps, and organic-only paid-test candidates. Dollar impact is modeled from current paid cost.
Paste Ads search terms first, then GSC Queries. Separate data sets with a line containing ---. Files never leave your browser.
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Local data
Saved targets, named lists, and recent check summaries remain only in this browser.
Runs entirely in your browser — nothing you paste is uploaded or stored. Anonymous run-level outcome counters may be used for aggregate research; URLs, domains, IPs, and identifiers are never included, and no statistic is released below 100 runs.
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How to use it
- Paste a Google Ads search-terms table containing Search term, Clicks, and Cost.
- Add a line containing only
---, then paste a GSC query table containing Query, Clicks, Impressions, and Position. - Select Analyze, then sort the JSON rows by quadrant or dollar impact in your downstream workflow.
- Turn strong-both and organic-only findings into measured experiments, not immediate budget changes.
Example result Illustrative data
The figures below are invented solely to explain the calculation; they are not benchmarks or observed account results.
How to read the result
- Strong both: at least one paid click and an organic position of 10 or better. Consider an incrementality test; dollar impact equals current cost.
- Paid only: paid activity exists without a matched top-10 organic query. The suggested action is to create or improve organic coverage.
- Organic only: the query ranks in the top 10 with no matched Ads row. It may be suitable for a paid test when economics support it.
- Weak: neither threshold is met. The model recommends deprioritizing it until demand or coverage changes.
Data sources & freshness
The engine normalizes capitalization, spacing, and common query variation, then pairs each Ads row with at most one exact or near-duplicate GSC row. Paid strength means at least one paid click. Organic strength means average position 10 or better. Unmatched GSC queries are added as organic-only or weak rows.
Features
- Four transparent quadrants with plain-language next actions.
- Paid clicks, organic clicks, paid cost, and organic position retained in every joined row.
- Local processing with explicit required-column validation.
Limitations
- Average position is not a rank guarantee, and the default thresholds are simple heuristics.
- Near-duplicate matching is lexical, not semantic; synonyms may remain separate.
- Cost is not incremental savings. Use a geo, audience, or time holdout before changing spend.
- GSC and Ads rows should cover comparable dates, countries, devices, and search types.
Frequently asked questions
What data does the paid and organic overlap tool need?
It needs a Google Ads search-terms export with Search term, Clicks, and Cost columns, followed by a GSC Queries export with Query, Clicks, Impressions, and Position columns.
How are paid and organic terms matched?
The tool normalizes query text and joins exact or near-duplicate terms. It does not infer semantic similarity between differently worded searches.
Does strong performance in both channels mean I should pause paid search?
No. The result identifies a candidate for a controlled test. Brand defense, conversion value, geography, device mix, and true incrementality still need to be considered.
What does dollar impact mean?
For strong-both rows, dollar impact is the current paid cost associated with that search term. It is spend exposed to a test, not a savings forecast.
Is my Ads or GSC data uploaded?
No. Both CSV tables are parsed and joined locally in your browser.
Feature requests for Paid Organic Overlap
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Über das Tool
Verbinde Ads- und GSC-Daten zu vier transparenten Quadranten: Paid-only, Organic-only, Strong-both und Weak. Jede verbundene Zeile behält Paid-Klicks, organische Klicks, Kosten und organische Position und erhält eine verständliche nächste Aktion.
Das Ergebnis identifiziert Kandidaten für kontrollierte Tests, nicht automatisch die richtige Budgetentscheidung.
Funktionen
- Join von Google-Ads-Suchbegriffen und GSC-Queries nach normalisiertem Suchbegriff
- Vier Quadranten mit klaren Paid-/Organic-Aktionen und Schwellenwerten
- Explizite Prüfung erforderlicher Spalten und lokaler CSV-Verarbeitung
- Beispielzeilen, Ergebnisübersicht und exportierbare Kandidaten für Folgetests
Funktionsweise
Füge eine Ads-Tabelle mit Search term, Clicks und Cost ein, danach `---` und eine GSC-Tabelle mit Query, Clicks, Impressions und Position. Das Werkzeug normalisiert Begriffe, verbindet Zeilen, weist den vier Quadranten zu und zeigt die nächste Aktion pro Ergebnis.
Einschränkungen
- Durchschnittsposition ist keine Rankinggarantie; Standard-Schwellenwerte sind einfache Heuristiken.
- Near-Duplicate-Matching bleibt lexikalisch, nicht semantisch; Synonyme können getrennt bleiben.
- Kosten sind keine inkrementelle Ersparnis; nutze Geo-, Audience- oder Zeit-Holdout und vergleichbare Datenbereiche vor Budgetänderungen.
Häufig gestellte Fragen
Werden meine Ads- oder GSC-Daten hochgeladen?
Nein. Beide CSV-Tabellen werden lokal im Browser geparst und verbunden. Die Daten verlassen dein Gerät nicht.
Was bedeutet Strong-both?
Die Zeile hat nach den gewählten Schwellenwerten starke bezahlte und organische Signale. Sie ist ein Kandidat für Effizienzprüfung, aber keine automatische Empfehlung, Ausgaben zu ändern.
Kann ein Quadrant eine Einsparung beweisen?
Nein. Brand Defense, Conversion-Wert, Geo, Geräte-Mix und echte Inkrementalität benötigen einen kontrollierten Test mit Holdout.
Welche Zeiträume sollte ich vergleichen?
Ads und GSC sollten vergleichbare Daten für Zeitraum, Land, Gerät und Suchtyp enthalten. Unterschiede können die Quadranten verfälschen und müssen dokumentiert werden.