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Windsor vs Coupler.ioAppNexus Connector
Easily integrate AppNexus data with your BI tool, warehouse, or database using Windsor.ai’s no-code ELT connector.
Generate automated reports on your campaign performance and unlock valuable insights to optimize line items, creatives, and media spend.
Forget CSVs. Stop copy/paste. Connect data in 2 minutes. No code required.
30-day free trial
No credit card needed
Make the most out of your AppNexus data with Windsor.ai
Focus on the data that matters by choosing from our extensive documentation or easily creating custom fields.
Leverage our pre-built, customizable AppNexus dashboard templates for a comprehensive performance overview tailored to your data needs.
Send your AppNexus data to any destination
Import your AppNexus data into any destination using Windsor.ai.
Extract and load AppNexus data effortlessly with Windsor.ai's connector
Most available AppNexus integration methods are complex, requiring technical expertise, manual processes, or expensive third-party solutions.
Windsor.ai overcomes these challenges with a no-code ELT connector that lets you automatically sync your AppNexus data in just a few clicks.
How to export AppNexus data with the Windsor.ai connector
Sign up and enjoy a 30-day free trial
Create your Windsor.ai account and log in.
Select AppNexus as a data source
In your dashboard, connect AppNexus data source, select the necessary account(s), and grant access to Windsor.ai.
Choose report fields and metrics
Select the fields that you’d like to add to your report. For example, you can include metrics such as Impressions, Clicks, Spend, Campaign, CPA, and more.
Select a data destination
Choose a destination to stream your AppNexus data.
FAQs
Why use Windsor.ai's AppNexus connector?
Windsor.ai’s ELT connectors automate the entire integration workflow, ensuring a quick and efficient process. It instantly syncs your AppNexus data with multiple destinations, including Data Studio, Snowflake, Azure SQL, and Google Sheets, cutting data preparation time by over 50%.
Also, Windsor.ai allows you to blend AppNexus with 325+ other data sources to get a complete view of your marketing performance across every channel, from programmatic display and video to paid search, social, and website analytics.
What data can I extract from AppNexus with Windsor.ai?
With Windsor.ai, you can access key AppNexus metrics and dimensions, including:
- Campaign hierarchy data: Advertiser, campaign, insertion order, line item, creative, and placement.
- Performance metrics: Impressions, clicks, CTR, conversion rate, CPA, CPC, CPM, and the effective cost variants like eCPA, eCPC, eCPM.
- Spend data: Media cost, total spend, and advertiser spend in the advertiser’s preferred currency.
- Conversion data: Total conversions, post-click vs. post-view attribution split, conversion revenue, and pixel-level detail (pixel ID and name).
- Viewability metrics: Viewable impressions, viewability rate, measured impressions, and view measurement rate.
- Video performance: Video completions and completion rate for video creatives.
How long does it take to sync AppNexus to a destination using Windsor.ai?
With Windsor.ai’s intuitive interface, the integration process takes a few minutes. No technical expertise is required; connecting AppNexus data is simple, straightforward, and completely code-free.
How much does it cost to integrate AppNexus with Windsor.ai?
Windsor.ai’s pricing for AppNexus data integration varies depending on your use case and data volume. We offer absolutely transparent, volume-based event pricing plans for diversified business needs and budgets, providing a 30-day free trial.
Do you have helpful links to get started with integrating AppNexus and Windsor.ai?
Yes, we have helpful resources to help you get started. You can explore our official documentation for AppNexus data integration into a chosen destination, available AppNexus data fields, and ready-to-use templates:
Other popular Windsor.ai connectors
Tired of manual AppNexus data exports? Get started with Windsor.ai today to automate your reporting
