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With just a few clicks, connect your Twitter Ads account to PostgreSQL and watch your data load in real-time. Experience a hassle-free, zero-maintenance data load.Start 14-Day Free Trial
Optimize your advertising efforts by combining and analyzing marketing data from all your applications in real-time. With over 100+ ready-to-use integrations, Hevo can easily bring data from your Sales and Marketing Apps, Analytics Tools, Databases, and more.
Enrich, filter, aggregate and segment raw Twitter Ads data to make it analysis-friendly. Whether you want to standardize timezones, convert currencies, or simply aggregate campaign data for faster analysis, automate tedious data preparation tasks with Hevo.
Get all your Twitter Ads data in your PostgreSQL database in just a few clicks without much developer assistance.
Leave behind data replication code and script maintenance. Setup once and let Hevo manage all your future changes automatically.
Automate your Twitter Ads data flow without writing any custom configurations. Further, Hevo flags and resolves any errors detected.
Twitter Ads is an online advertising platform that allows businesses to create and manage engaging ad campaigns that run on Twitter. Companies can create highly personalized ads in various formats – video ads, image ads, etc. and showcase them to a highly defined target audience on their Twitter feeds to drive business objectives.
PostgreSQL is an open-source object-relational database system. Its scalability, reliability, and extensive querying layer have made it a popular choice for use cases ranging from OLTP workloads to data analytics setups.
Analyze marketing ROI across each channel to identify the mediums that work best for your customer persona. Unlock opportunities to optimize advertising efforts.
Identify high ROAS creatives that you should be spending more money on. Understand the different creatives and copy that works best for your customer segment.
Get an advantage over your competitors by understanding how different targeting, creatives, or products impact your customer LTV.