Agile advertising calls for a rapid, transparent, and adaptable process that allows marketers to measure and apply learnings without having to go back to square one. The way Connected-Stories is built provides an advertising marketing technology solution that improves the overall speed, predictability, and adaptability of your advertising campaigns to effectively meet the needs of your target audience.
Optimizing Real-Time
Analytics & Machine Learning- Machine learning and artificial intelligence are behind Connected-Stories’s distinctive capabilities to collect and immediately apply real-time data.
- Connected-Stories can collect behavioral data through videos (% view), interactions (click_throughs), natural language processing (chat), voice and image recognition functionalities (historical conversation) to predict consumer behavior across any channel.
- The platform can measure and optimize a campaign's traditional KPI and Connected-Stories' sequences in real-time by analyzing these interactions with your advertised contents.
Maximizing real-time data
Data
- After publishing your campaign from first content, you are able to view real-time reports and analytics via the dashboard linked to your account.
- You can determine your live campaign's performance and effectiveness against both our knowledge base of aggregated past campaigns, as well as the objectives set for your new campaign.
- Once you get the data you need and decide on the direction you want to pursue, you can immediately apply your learnings to your strategy and parameters.
- Edit your content and adapt your ad units to the actual user's behavior in the Connected Stories platform.
- You can check out your campaign's performance at any time and change your strategy campaign approach as many times as you want. Note: It is recommended that you let the campaign run a bit of its course to get valuable data.
There are 3 main sections where you can focus on when optimizing your data:
A. Sequence Optimization
- Your campaign follows a specific sequence depending on the interaction on your initial ad material.
- After running a campaign for a certain period of time, you will be able to see which of all the possible sequences performs the best.
- Once you've determined this, you can immediately disregard the low performing sequences to focus your strategy on the most effective one.
- From here, the interaction will be optimized in real-time.
B. Conditions Optimzation
- Using the journey designer, you have determined certain conditions that trigger interaction with your ad.
- After running a campaign for a certain period of time, you will be able to see the conditions that work for your target market.
- If any of the conditions are not generating engagement, you can adjust the parameters accordingly to accommodate your customer behavior.
- From here, the most effective condition will create more engagement with your target market.
C. Creatives Optimization
- Variations in an ad material is very common for campaigns to allow flexibility and adaptability