What is Hoop's Data Enrichment feature and who should use it?
Hoop's Data Enrichment uses AI to automatically fill in missing fields and keep customer records up-to-date by sourcing data from emails, calls, the web, and Hoop's comprehensive dataset. This feature eliminates manual data entry, ensuring your records are complete and accurate without any extra work from your team.
This powerful feature is ideal for sales, marketing, and customer success teams who rely on precise data for efficient operations. By ensuring high-quality data, teams can segment customers accurately, automate confidently, and personalize outreach at scale, leading to better overall engagement and successful campaigns across the organization.
How does Data Enrichment work and what are its key benefits?
Data Enrichment functions by triggering updates based on events such as record creation, form submission, or specific lifecycle changes. The platform actively scans various sources, including the web and Hoop’s proprietary data, to retrieve and apply missing information to your records.
The primary benefit is achieving complete records with zero manual effort. Key data points that are enriched include:
- Company size, industry, and domain.
- Location, phone, and web presence.
- Technographics and social details where available.
Accurate properties mean better data, which translates directly into more effective outreach and automation for your business.
What pricing plans include access to the Data Enrichment feature?
The Data Enrichment feature is available across multiple Hoop platform pricing tiers, ensuring teams of various sizes can benefit from automated data management. Specifically, this capability is included in the core, pro, and enterprise plans.
For organizations starting with the core plan, basic enrichment capabilities are provided to quickly establish a foundation of clean data. Moving up to the pro or enterprise tiers unlocks more comprehensive controls and higher volume limits, designed for large-scale operations. If usage limits are a concern, standard practice is to offer volume add-ons for high-growth teams that need to enrich tens of thousands of records monthly beyond their plan’s allowance. Contact the Hoop sales team for detailed usage metrics for each tier.
Can we customize which fields are enriched and set overwriting rules?
Yes, you maintain full control over the enrichment process. You can specifically limit which fields are enriched by selecting the properties you want the AI to manage. This prevents unwanted data from being automatically added or updated on your most critical fields.
Hoop also provides "Confidence controls," allowing you to define clear rules for overwriting user-entered data versus system-enriched data. This ensures your team can rely on data integrity while still automating updates. Furthermore, a "Change history" feature lets you review previous values, providing full transparency and traceability for every data modification.
What types of data are supported for enrichment and how is it used in Hoop?
The Hoop Data Enrichment feature supports a broad scope of professional and contact information, ensuring comprehensive profiles for your leads and customers. This includes firmographic data like company size and industry, along with contact details such as location and web presence. Technographics are also added where feasible, which is vital for sales strategies.
Once fields are enriched, they become immediately active across the Hoop platform. You can leverage these enriched fields to:
- Segment prospects for targeted campaigns.
- Improve lead scoring and routing logic.
- Customize personalization tokens in outreach efforts.
This ensures the data provides maximum value across all your marketing and sales channels.
How does Hoop address security, privacy, and data handling with this feature?
Hoop prioritizes governance and privacy by ensuring all data handling respects regional requirements. The platform maintains clear data sources for every field enriched and offers robust admin controls to manage access and settings.
Data is managed through a secure pipeline, minimizing risk during the collection and updating process. By providing transparency with features like Change History and giving admins precise controls over data sources and overwrite logic, Hoop ensures compliance and security. Furthermore, data is anonymized and aggregated where possible before being used for generalized enrichment purposes, protecting individual privacy while maintaining data utility.