Why Snapchat Ads is Popular

Snapchat Ads was used across the board by marketers for some of the following most important reasons:

• Young Actives Audience: Snapchat has more than 319 million daily active users and reaches 60% of US 13-34-year-olds, which is a group that's really young and highly active.

• Deep Ad Formats: Snapchat developed vertical video ads with emphasis on full-screen, engagement-driven units that precisely fit natively created content.

• High Engagement: Snapchat app opens 30 times a day, with repeated ad impressions.

• Different Ad Formats: From Snap Ads and Story Ads to AR Lenses and Filters, Snapchat has numerous creative formats that can work for different campaign objectives.

• Cost-effective: With no minimum bid and lower CPMs than other platforms such as Facebook, Snapchat Ads is an attractive option for businesses across different sizes.
  
  

Supaboard.ai: Easy Exporting of Snapchat Ads Data

Supaboard.ai is a new data analysis platform that seeks to make data management easy for marketing teams. This is how it simplifies Snapchat Ads data export:

• Easy Integration: Connect your Snapchat Ads account directly onto Supaboard's dashboard in a bid to access real-time campaign performance reports, audience metrics, and engagement rates.

• Flexible Exports: Choose specific datasets like ad performance rate, conversion rate, or audience metrics. Export them to CSV or Excel for analysis.

• Automated Workflow: Enable auto-exports and keep your analytics current without lifting a finger.

With Supaboard's export automation, businesses can access clean, analysis-ready datasets in their hands.

Freeing Snapchat Ads Data to Action with Supaboard's AI Analyst

While exporting Snapchat Ads data, Supaboard's AI Analyst processing provides actionable insights:

• Data Cleaning & Organization: AI Analyst cleans raw campaign data for accuracy and consistency of metrics by normalizing it.

• Performance Insights: Discover which ad types (e.g., Snap Ads, Story Ads, Lenses) performed and converted best with your audience.

• Audience Segmentation: Discover user interests by examining engagement trends by demographics and interests.

• Creative Optimization: Determine what kinds of visual content, messaging, and calls-to-action work best with your target users.

• Predictive Analytics: Predict future campaign performance against past trends using machine learning models.

• Personalized Recommendations: Get personalized recommendations for how to optimize targeting strategies, budget ad spend for ads, or creative assets.
  
  

Real-Life Case Studies: Advantages of Validating Snapchat Ads Data

• Case Study 1: SHEIN
  Global fashion brand SHEIN employed ramped, customized creatives on Snapchat with the goal of achieving 20% increase in Return on Ad Spend (ROAS) and 50% cost reduction per transaction. By isolating performance insights by combination of creative variables, target opportunities, and bid optimizations, SHEIN was able to maximize its strategy and increase campaign effectiveness exponentially.
  
  

• Case Study 2: Depop
  Depop, an e-marketplace website, was so impressed with Snapchat Ads that they now spend 50% of every slice of social media budget on the platform. For measuring campaign performance, Depop learned they were observing a cost per acquisition of 77% lower on Snapchat than on other platforms and that is why they initiated this budget change strategy.
  
  

• Case Study 3: Marriott Bonvoy
  Marriott Bonvoy hotel chain used Snapchat Ads to promote reservation and sign-up to its reward program. Having monitored their campaign metrics closely, it delivered 3.4 times greater return on investment of its Snap Ads elsewhere and generated 35% more reservation. By taking this data-driven step, Marriott spent ad cost and messaging budget in the most efficient way.
  
  

Conclusion

Snapchat Ads enables businesses to reach younger customers with informative, interactive advertisement experiences. But to appreciate Snapchat's value, however, advanced analytics capability needs to be leveraged. Companies can quickly export ad performance and improve performance optimization through AI-powered insight using a combination of Snapchat Ads and Supaboard.ai.

Supaboard's AI Analyst offers marketing teams a range of capabilities such as predictive modeling, audience segment analysis, and creative optimization suggestions all designed to take raw campaign data and make it gold strategy. Whether trying to get higher levels of engagement, lower acquisition cost, or more efficient targeting, Supaboard delivers the analysis that fuels growth with Snapchat ads.

Ready to turn your Snapchat Ads analysis into business success? Begin with Supaboard.ai today and discover the potential of AI marketing analytics for yourself.