The user can then set a synchronization frequency so that the destination is automatically kept up-to-date. Hightouch counts dozens of integrations out-the-box, spanning most of the common warehouse sources such as BigQuery, Snowflake, and Databricks, and common enterprise applications including Anaplan, HubSpot, Mixpanel, Salesforce, Stripe, and Jira. “Warehouses have also gotten much faster, so it is practical to use them to power timely business workflows.” “There has been a key technology shift with the adoption of data warehouses - modern cloud data warehouses like Snowflake have very cheap storage, and you don’t need to pay for computing resources unless you’re actually running a query,” Gupta explained. So if a company wants to shift data from Zendesk into Salesforce to figure out how much support specific customers are requesting through Zendesk, they would use an ETL tools such as Fivetran to move the data into the warehouse, and then use Hightouch to get that data into Salesforce. Reverse ETL, essentially, involves “copy and pasting” data between tables. Hightouch does the opposite of this - it helps companies get their data out of the warehouse and into an application in a process it refers to as “ reverse ETL.” Other notable players in the space include Census, which recently closed a $16 million investment. To learn more about Hightouch's new audience features, visit /cdp.Learn the critical role of AI & ML in cybersecurity and industry specific case studies. The new features further solidify Hightouch as the leading warehouse-first data activation platform available today. They now use Hightouch Audiences as a vehicle to unlock the value of their customer data, without the need of engineering resources," explains Tejas Manohar, Co-Founder and CEO of Hightouch. "Our enterprise customers have shifted Hightouch into the hands of their (often less-technical) marketing teams. Advanced features like stratification variables provide an additional layer of granularity to ensure that audiences are distributed as desired. Now, using Hightouch, marketers can seamlessly create the (randomized) audiences needed to perform cross-channel multivariate testing. Perhaps the most powerful of the features released, Audience Splits, unlocks seamless management of multivariate testing by providing end-to-end randomized audience creation. Audience Overlaps supplements these insights to ensure that marketers limit (or maximize) collisions between multiple audience segments.Audience Breakdowns identifies the characteristics of each audience segment to help marketers better understand their audience composition.This warehouse-first approach, coupled with a deep expertise in customer data management systems (attributed to their founder's experience building Segment's core features), inspired the Hightouch team to build a modern data activation platform that eliminates the need for a traditional customer data platform.Īs part of the new suite of features launching today, marketers can leverage Audience Insights as they define customer segments to receive feedback informing them of the makeup of each audience as they build in the UI. From there, teams can seamlessly activate their valuable customer data to the tools marketers use every day. Hightouch empowers organizations to leverage their data warehouse as their single source of truth for customer data. Using Hightouch Audiences, non-technical users can now create dynamic user segments or "Audiences" that can be activated to any business application or marketing platform. 14, 2022 /PRNewswire/ - Hightouch, the world's leading Data Activation platform, today unveiled a suite of features to make first-party customer data activation easier than ever. New features allow marketers to activate customer data directly from the data warehouse to power hyper-personalized digital experiences across marketing channels
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