Coefficient est un connecteur de données qui relie Google Sheets et Excel à plus de 100 systèmes d'entreprise comme Salesforce et HubSpot. Il automatise les importations de données, permet la synchronisation bidirectionnelle et utilise l'IA pour aider les utilisateurs à créer des formules, des requêtes SQL et des graphiques, transformant les feuilles de calcul statiques en tableaux de bord dynamiques et en temps réel.
goodlookup est une fonction intelligente pour Google Sheets qui révolutionne la correspondance de données. Propulsée par l'intuition de GPT-3 et un NLP avancé, elle va au-delà de la correspondance floue traditionnelle pour comprendre les relations sémantiques, les synonymes et le contexte. Utilisez-la comme une RECHERCHEV surpuissante pour nettoyer les données, lier des enregistrements aux noms incohérents et effectuer du clustering de sujets sans effort, économisant des heures de travail manuel.
Aperçu du produit
Coefficient Aperçu du produit
Coefficient est un connecteur de données qui relie Google Sheets et Excel à plus de 100 systèmes d'entreprise comme Salesforce et HubSpot. Il automatise les importations de données, permet la synchronisation bidirectionnelle et utilise l'IA pour aider les utilisateurs à créer des formules, des requêtes SQL et des graphiques, transformant les feuilles de calcul statiques en tableaux de bord dynamiques et en temps réel.
goodlookup Aperçu du produit
goodlookup est une fonction intelligente pour Google Sheets qui révolutionne la correspondance de données. Propulsée par l'intuition de GPT-3 et un NLP avancé, elle va au-delà de la correspondance floue traditionnelle pour comprendre les relations sémantiques, les synonymes et le contexte. Utilisez-la comme une RECHERCHEV surpuissante pour nettoyer les données, lier des enregistrements aux noms incohérents et effectuer du clustering de sujets sans effort, économisant des heures de travail manuel.
Detailed feature comparison
| Feature | Coefficient | goodlookup |
|---|---|---|
| Catégorie principale | Analyse de données | Analyse de données |
| Ajouté | 2025-08-01 | 2025-08-13 |
| Tarification | Freemium | Payant |
| Site officiel | coefficient.io | www.goodlookup.com |
| Type de produit | Extension de navigateur | Extension de navigateur |
| Performance data | ||
| Note utilisateur | Non vérifié | Non vérifié |
| Commentaires | 0 | 0 |
| Visites mensuelles | 161.6K | 3.4K |
| Croissance mensuelle | -7.7% | Non vérifié |
| Favoris | 90 | 116 |
| Details | Voir les détails | Voir les détails |
Coefficient vs goodlookup monthly traffic
Compare Coefficient and goodlookup by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Coefficient vs goodlookup monthly traffic comparison, Coefficient currently shows 161.6K visits and goodlookup shows 3.4K; Coefficient has about 47.9 times the visible traffic of goodlookup, an absolute difference of about 158.3K visits. This reflects visible reach, not feature quality or paid users.
Only Coefficient has complete third-party traffic details; goodlookup uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
Coefficient monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 319.4K Visites mensuelles
- 2026/1: 334.5K Visites mensuelles
- 2026/2: 212.8K Visites mensuelles
- 2026/3: 190.8K Visites mensuelles
- 2026/4: 175.1K Visites mensuelles
- 2026/5: 161.6K Visites mensuelles
Principales régions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 63.08% | 102K |
| 🇮🇳India | 15.95% | 25.8K |
| 🇵🇭Philippines | 8.99% | 14.5K |
| 🇩🇪Germany | 6.22% | 10.1K |
| 🇬🇧United Kingdom | 5.76% | 9.3K |
Sources de trafic
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 65.35% | 105.6K |
| Référence | 31.17% | 50.4K |
| 3.48% | 5.6K |
Mots-clés
goodlookup monthly traffic:
Latest traffic
Usage comparison
Compare the core capabilities of Coefficient and goodlookup
Coefficient Core features
goodlookup Core features
Use cases
Coefficient Use cases
goodlookup Use cases
Coefficient vs goodlookup:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Coefficient vs goodlookup comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Coefficient is primarily listed under “Analyse de données”, while goodlookup is primarily listed under “Analyse de données”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Pricing (Coefficient: Freemium; goodlookup: Paid); Monthly visits (Coefficient: 161.6K; goodlookup: 3.4K); Favorites (Coefficient: 90; goodlookup: 116); Website (Coefficient: coefficient.io; goodlookup: www.goodlookup.com); Added (Coefficient: 2025-08-01; goodlookup: 2025-08-13). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Coefficient vs goodlookup monthly traffic comparison, Coefficient currently shows 161.6K visits and goodlookup shows 3.4K; Coefficient has about 47.9 times the visible traffic of goodlookup, an absolute difference of about 158.3K visits. This reflects visible reach, not feature quality or paid users.
Only Coefficient has complete third-party traffic details; goodlookup uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Product positioning, use cases, and roles
Coefficient and goodlookup currently overlap in shared categories: Analyse de données et Tableurs; shared tags: analyse de données et Google Feuilles de calcul. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Coefficient's unique categories/tags are Analyse, CRM, automatisation, Informatique décisionnelle, Connecteur de données, Excel, HubSpot et No-code; goodlookup's are Nettoyage de Données, Nettoyage de données, correspondance floue, NLP, Liaison d'enregistrements, Recherche sémantique, feuille de calcul et Regroupement thématique. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Coefficient has no verified rating, 0 comments, 90 favorites, and 99 likes;goodlookup has no verified rating, 0 comments, 116 favorites, and 118 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Coefficient first
Put Coefficient on the priority trial list when the task aligns with “Analyse de données” and especially Analyse, CRM, automatisation, Informatique décisionnelle, Connecteur de données et Excel. This follows recorded positioning and does not imply unlisted capabilities are absent.
Coefficient also currently records: pricing is freemium, product type is browser extension, 161.6K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate goodlookup first
Put goodlookup on the priority trial list when the task aligns with “Analyse de données” and especially Nettoyage de Données, Nettoyage de données, correspondance floue, NLP, Liaison d'enregistrements et Recherche sémantique. This follows recorded positioning and does not imply unlisted capabilities are absent.
goodlookup also currently records: pricing is paid, product type is browser extension, 3.4K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Coefficient and goodlookup, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.




