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Stynch

SAS FX SOFTS
5.0(

3 ratings

)
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Overview

Analyse des profils LinkedIn

Stynch est le seul outil capable de te présenter une synthèse qualitative et quantitative d'un profil LinkedIn en un seul clic. 👉 Il extrait l'information depuis tous les posts rédigés par le profil, 👉Il effectue une analyse quantitative et qualitative de 4 point clés : mots clés, performances, tags, citations. 👉 Il révèle les éléments saillants de l'analyse au travers de graphiques sexy, 🎯 Il est destiné aux créateurs de contenus qui veulent comprendre leurs propres performance de contenu sur LinkedIn, mais aussi la stratégie de leurs confrères. 🎯 Il se révèle utile aux prospecteurs LinkedIn cherchant à mieux connaitre leur prospect avant de le contacter pour la première fois. 🎯 Il a les faveurs des recruteurs, soucieux de comprendre un éventuel candidat au travers de son activité. Stynch a été créé par un créateur de contenu prospectant sur LinkedIn. Il est aujourd'hui utilisé par des centaines d'utilisateurs et est le leader dans l'analyse en profondeur d'un profil LinkedIn. C'est pas sympa ça : l'analyse des profils est gratuite en dessous de 5 profils par mois.

Details

  • Version
    1.2.5
  • Updated
    June 18, 2025
  • Features
    Offers in-app purchases
  • Size
    1.32MiB
  • Languages
    français
  • Developer
    SAS FX SOFTS
    58 Rue de Séquigny Sainte-Geneviève-des-Bois 91700 FR
    Website
    Email
    fx.softs@free.fr
    Phone
    +33 6 08 57 18 71
  • Trader
    This developer has identified itself as a trader per the definition from the European Union and committed to only offer products or services that comply with EU laws.
  • D-U-N-S
    275899082

Privacy

Stynch has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

Stynch handles the following:

Personally identifiable information
Website content

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

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