Tarification

Validate phone numbers automatically with Melissa Data

Swiftask connects your AI agents to Melissa Data to validate, normalize, and enrich your phone numbers instantly upon entry.

Resultat:

Eliminate bad data, optimize your contact campaigns, and ensure the reliability of your customer base.

Erroneous contact data hinders your performance

An incorrect or invalid phone number is a missed opportunity. Between typos, incorrect formats, and obsolete numbers, your database quality degrades rapidly.

Les principaux impacts négatifs :

Wasted communication costs: Calls or SMS to invalid numbers generate operational costs with zero return on investment.
Degraded customer experience: Inability to reach a customer by phone for confirmation or support directly impacts customer satisfaction.
Unusable CRM data: Polluted databases prevent reliable analysis and skew your sales performance metrics.

With the Swiftask and Melissa Data integration, your AI agents verify every phone number as soon as it enters your system. The number is validated, formatted, and enriched before it is even stored.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

A prospect enters their number on a form. The typo is not detected. Your sales team tries to call without success. Time is wasted, the lead is not converted, and the faulty data remains in the CRM.

With Swiftask + Melissa Data

The prospect enters their number. The Swiftask AI agent instantly queries Melissa Data. If the number is invalid, the user is immediately alerted to correct it. Clean data is saved, ready for your team to use.

Set up phone validation in 4 steps

ÉTAPE 1 : Enable the Melissa Data connector

In your Swiftask workspace, configure access to the Melissa Data API. The connection is secure and fast.

ÉTAPE 2 : Define the validation trigger

Choose when the agent should validate the number: form submission, CRM update, or file import.

ÉTAPE 3 : Configure response rules

Determine how the agent should react: block submission, automatically correct the format, or flag an error to the user.

ÉTAPE 4 : Deploy and automate

The agent is live. Every number is now validated in real-time, ensuring an impeccable database.

Advanced validation features

The agent verifies syntax, compliance with local numbering plans, and the actual existence of the phone line.

Connecteur cible : L'agent exécute les bonnes actions dans melissa data selon le contexte de l'événement.
Actions automatisées : Normalization to international format (E.164). Line type detection (landline, mobile, VoIP). Real-time validation during entry. Automatic update of fields in your CRM.
Gouvernance native : The reliability of Melissa Data combined with the intelligence of Swiftask ensures you only work with actionable data.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-melissa-data@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Why choose this integration

1. Increased reliability

Ensure every phone number in your system is valid and reachable.

2. Operational time savings

No more manual file corrections after the fact. Validation happens upfront.

3. Better marketing ROI

Optimize your calling and SMS campaigns by targeting only verified numbers.

4. Seamless integration

Swiftask adapts to your existing tools to integrate validation where you need it most.

5. Data compliance

Improve overall customer data quality to meet compliance requirements.

Security and privacy

Swiftask applique des standards de sécurité enterprise pour vos automatisations melissa data.

Data protection: All checks are performed via secure and compliant connections.
Access governance: Precisely control which agents have access to Melissa Data validation capabilities.
Full audit trail: Every validation action is logged for a full audit in Swiftask.
GDPR compliance: Data processing is designed to respect personal data protection standards.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Impact on your metrics

Métrique	Avant	Après
Invalid number rate	High (input errors)	Near 0% (real-time validation)
Processing time	Manual (post-processing)	Instant (automated)
Database reliability	Low	Maximum

Passez à l'action avec melissa data

Eliminate bad data, optimize your contact campaigns, and ensure the reliability of your customer base.

Enrichissez vos profils clients automatiquement avec Melissa Data et Swiftask

Cas d'usage suivant.