This month’s update includes improvements to best record selection model, gender and company data accuracy, and a look at what’s ahead in Q2, including enhanced validation and suppressed data noise.
View in browser
April Release Notes Hero

Dear Valued 5x5 Member,

We're pleased to bring you the April edition of our newsletter, highlighting the latest improvements to the 5x5 Data Co-op and providing an update on our ongoing roadmap. We remain committed to delivering high-quality, accurate data that empowers your business decisions. This month's release builds upon our previous work to enhance data accuracy and expand coverage, ensuring you have access to the most reliable information possible.

 

We remain committed to delivering high-quality, accurate data that empowers your business decisions. This month's release builds upon our previous work to enhance data accuracy and expand coverage, ensuring you have access to the most reliable information possible.

    ReleaseNote Email Features (22)-1

    What's New: April Release Notes

    This month's release continues our focus on enhancing data accuracy and expanding coverage. Key updates include:

    ReleaseNote Email Features (28)-1

    2.0 Version of Best Record Selection

    We've launched version 2.0 of our "best record" selection model.

    This is a long term initiative for 5x5, and this month focused on improving the selection of business email, LinkedIn URL, and company domain/name.

    For example, if there are three business emails associated with a contact, our model is now even better at determining the most recent and current email, further improving the freshness and accuracy of our data.

    ReleaseNote Email Features (30)-1

    Core Feature Improvement

    Building on our commitment to core data enhancements, we've increased the quality and fill rate of gender data. We updated all genders with a determination from our name gender database. As a result, 27,800,627 genders were updated and counts increased by 6.3%.

    ReleaseNote Email Features (31)-1

    Enhanced Company Data Validation

    We've implemented a new validation process for company names and domains, resulting in a 15% improvement in accuracy for firmographic data across Business Contacts and Firmographic data sets.

     

    This means you can rely on our company data for more precise segmentation and analysis.
      ReleaseNote Email Features (26)-1

      Roadmap Update: Q2 Progress & Steps

      Over the last quarter, we’ve dedicated additional time, resources, and structure towards our roadmap planning so that we can better serve member needs. As a result, we’re excited to share an updated 3-month roadmap, highlighting the key projects we’re focusing on for Q2. 

      q2Roadmap_5x5 (1)

      Highlighting a few items on the roadmap below:

      → Improving Net Worth & Income Data: Similar to the gender improvements in April, we are investing in improving net worth and income fields.

       

      → NCOA Validation & CASS Standardization: We’re enhancing address quality through NCOA validation and CASS standardization to increase deliverability and power downstream use cases like data matching and identity resolution. This initiative will standardize and validate professional, personal, and company address fields. 

      • National Change of Address (NCOA) is a USPS service that keeps address data current by identifying individuals and businesses that have moved within 48 months. 
      • Coding Accuracy Support System (CASS) standardization ensures all address data aligns with the USPS Coding Accuracy Support System.

      → Increase Validation of Contact Data: We are committed to making continued progress on the overall validation of contact data, focus in Q2 will include mobile phone and email validation.

       

      → Continued Improvement to Person Model: We remain focused on continuously improving our Person and Best Record model. In Q2, we’ll be expanding those efforts to include additional fields such as first/ last name, address, emails, company, etc. driving enhanced contact accuracy and higher data fill rates across the board.

       

      → Suppressing Data Noise: Minimizing data noise remains a core focus to elevate overall data quality and model performance. By deprecating outdated signals, we reduce clutter in the model’s input stream allowing for more precise, signal-driven outcomes.

      • Data noise, such as bot traffic, outdated events, inaccurate data, etc. pollutes models and impacts downstream performance. In contrast, data signals are high-value linkages/behavioral patterns that reliably correlate with real-world outcomes like purchase intent or engagement.
      • Bottom-line: Less noise = better performance across every layer of your models and data

      These efforts align with our commitment to transforming consensus data into confirmation data and providing tiered data solutions that meet our members' diverse needs.  

       

      Explore the Latest & Stay Connected

      For full April release details and access to the latest data, please visit our knowledge base at: docs.5x5coop.com.

      We value your feedback and questions. Reach out to us at nick@5x5coop.com to discuss how 5x5 can continue to be your most valuable data partner.

      Sincerely,

      The 5x5 Data Cooperative Team

      5x5, 2000 E 6th St., Suite 7, Austin, TX 78702

      Unsubscribe Manage preferences