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Text Content

Ir al contenido
 * Entrar
 * Aida
 * El Desafío
 * Expertos
 * Servicios
 * Mi Cuenta de Membresía
 * Entrar

 * Entrar
 * Aida
 * El Desafío
 * Expertos
 * Servicios
 * Mi Cuenta de Membresía
 * Entrar

Listar un servicio
Consejos y trucos Tutoriales


AIDA FRAMEWORK: HOW OUR EXPERT RANKING ALGORITHM REALLY WORKS (AND WHY IT
MATTERS TO YOU)

Héctor Castillo
1 Comentario
07Oct

The AIDA Framework introduces a sophisticated algorithm designed to create a
fair, dynamic, and high-quality marketplace for experts and clients. Let’s dive
deep into how this algorithm works and why it’s beneficial for all parties
involved.

 1. Membership Validation and Access Restriction

The first layer of the algorithm focuses on membership validation:

 * Función: mh_restrict_access()
 * Purpose: Restricts access to specific pages (profile submission, messages,
   settings) for non-paying members.
 * Como Funciona:
   * Checks the current URL against a list of restricted pages.
   * If a non-member tries to access these pages, they are redirected to the
     membership checkout page.

This ensures that premium features are exclusive to paying members,
incentivizing membership sign-ups.



 2. Message Functionality Control

Several functions work together to control messaging capabilities:

 * Funciones: mh_block_messages(), mh_filter_components(),
   mh_redirect_message_clicks(), mh_block_message_api()
 * Purpose: Prevent non-members from sending or accessing messages.
 * Como Funciona:
   * Removes the message creation action for non-members.
   * Unsets the message component for non-members.
   * Redirects clicks on message-related elements to the checkout page.
   * Blocks API access to messages for non-members.

This creates a clear distinction between member and non-member capabilities,
further encouraging membership sign-ups.



 3. Listing Filtration

 * Función: filter_listings_by_membership()
 * Purpose: Filters listings visible to non-members.
 * Como Funciona:
   * Modifies the main query for listing archives.
   * For non-members, it excludes listings that require membership.

This approach allows non-members to see some content, creating a “teaser” effect
that showcases the platform’s value.



 4. Expert Scoring System

The core of the algorithm lies in its expert scoring system:

 * Función: calculate_expert_score()
 * Purpose: Calculates a comprehensive score for each expert.
 * Components: a. Total Revenue (25%): Reflects commercial success. b. Number of
   Reviews (20%): Indicates experience and client base. c. Average Review
   Quality (25%): Ensures high customer satisfaction. d. Response Rate (15%):
   Rewards prompt communication. e. Continuous Membership Duration (15%):
   Rewards long-term platform commitment.



 5. Continuous Membership Tracking

 * Funciones: get_continuous_membership_duration(),
   update_continuous_membership_start()
 * Purpose: Track and reward continuous membership.
 * Como Funciona:
   * Stores the start date of continuous membership.
   * Calculates the duration in months.
   * Resets to zero if membership lapses.

This mechanism encourages consistent membership renewal and long-term platform
commitment.



Why This Algorithm Benefits Everyone

 1. Para expertos:
    * Fair Representation: Multiple factors ensure a holistic evaluation.
    * Incentive for Quality: Encourages maintaining high standards and active
      client engagement.
    * Loyalty Rewards: Long-term members gain a competitive advantage.
 2. Para Clientes:
    * Quality Assurance: Higher-ranked experts have proven track records.
    * Transparent Choices: Clear ranking system aids decision-making.
    * Diverse Options: The system promotes both established and promising
      experts.
 3. For the Platform:
    * User Retention: Continuous membership scoring reduces churn.
    * Quality Control: Naturally filters out underperforming experts.
    * Increased Engagement: Motivates experts to actively participate and
      improve.
 4. Para la comunidad:
    * Meritocracy: Success is based on performance and satisfaction.
    * Continuous Improvement: Competitive rankings encourage ongoing
      development.
    * Trust Building: Transparency in scoring builds trust among all parties.



The AIDA Framework’s algorithm is a comprehensive solution for creating a
thriving expert marketplace. By aligning the interests of experts, clients, and
the platform, it sets a new standard in the gig economy. This system not only
ranks experts but also shapes behavior, encourages quality, and fosters a
community of excellence.

As the platform grows, this algorithm will play a crucial role in maintaining
high standards, driving engagement, and ensuring that everyone benefits from a
dynamic, transparent, and continuously improving marketplace. The AIDA Framework
is not just changing how expert marketplaces operate – it’s revolutionizing the
entire concept of online professional networking and service provision.



Marco AIDACrecimiento profesionalExpertTipsOnlineSuccess

5 AI SKILLS YOU NEED TO MASTER NOW (TRUST ME, I LEARNED THE HARD WAY)

GUÍA EXPERTA PARA LA CREACIÓN DE LISTADOS DE SERVICIOS EN AIDA FRAMEWORK


COMENTARIOS

 * Rodolfo Carpintier
   11 octubre 2024 Responder
   
   Pinta muy bien y parece que funcionará para mejorar la calidad de la
   comunidad

   


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REGISTRO

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