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What is NORMLZ?

NORMLZ is a specialized tool aimed at normalizing data, effectively standardizing and correcting inconsistencies within HubSpot. This software addresses the challenges associated with extensive datasets, where varying data formats can hinder analysis, result in unproductive campaigns that may lead to revenue loss, and complicate reporting processes. It integrates effortlessly with your HubSpot account, with future plans to offer compatibility with Salesforce and Apollo as well. The engine adeptly identifies and aligns variations, converting entries such as "CEO," "C.E.O," and "Chief Executive Officer" into a consistent format. Furthermore, it unifies location data like "New York," "NYC," and "New York City," while also maintaining uniformity in company names, for example, "IBM Corp" and "IBM Corporation." By utilizing NORMLZ, users can significantly elevate their data quality, which ultimately fosters more accurate insights and enhances decision-making capabilities. This tool not only optimizes data but also streamlines the overall operational workflow, providing a comprehensive solution for businesses looking to improve their data management strategies.

What is CleanSmart?

CleanSmart is a cutting-edge platform that harnesses the power of AI to streamline data cleaning for teams in Marketing Ops, RevOps, and SalesOps, allowing them to access reliable and precise data effortlessly, without having to code or manage multiple tools. Through a single cleaning action, users gain access to a suite of features such as SmartMatch, which employs semantic AI to detect and consolidate duplicate records, AutoFormat for standardizing phone numbers, emails, and addresses, SmartFill that predicts and fills in missing data, and LogicGuard, which flags inconsistencies and impossible data entries. The platform provides seamless integration with applications like HubSpot, Salesforce, Mailchimp, Klaviyo, and Shopify, or users can opt to upload a CSV file directly. Every change implemented within the system is thoroughly documented, complete with confidence scores and a detailed audit trail, granting teams the ability to oversee their data modifications effectively. This approach eliminates reliance on data engineers, sidesteps the need for custom scripts, and alleviates the burdens of manual data cleanup, ensuring a smooth experience that yields clean and analysis-ready data. Furthermore, CleanSmart's intuitive interface allows teams to concentrate on their main responsibilities, freeing them from the complications associated with data management. In this way, CleanSmart significantly enhances productivity and accuracy across various operational teams.

Media

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Media

No images available

Integrations Supported

HubSpot CRM

Integrations Supported

HubSpot CRM

API Availability

Has API

API Availability

Has API

Pricing Information

$5/month
Free Trial Offered?
Free Version

Pricing Information

$59/month/1 user
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

HubProsper

Date Founded

2025

Company Website

normlz.com

Company Facts

Organization Name

CleanSmartLabs

Date Founded

2024

Company Location

United States

Company Website

www.cleansmartlabs.com

Categories and Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Categories and Features

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

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