Using BlueConic in Campaigns

Allows users to send notifications to subscribers based on recommendations from the BlueConic CDP

Step 1: Configuring a Recommended Notification

Once users are in the Pushly platform, navigate to the Visual Builder during Campaign creation. Click the plus sign (+) to add a step to the workflow.

From the options that appear, select the Recommended Notification option to begin configuring user's settings.

Step 2: Select the Integration Source

On the configuration step, select the Integration Type, Application Name, and Store Name from the Source drop-down selector.

Step 3: Add a Configuration

Users can now start entering their configuration settings by creating a Boost. Every Boost can have multiple algorithms, and users can have multiple boosts in a single configuration. Click Add Configuration to begin.

Algorithm Name	Description	Ramp Up
Collaborative Filtering		Yes
Breaking News	Items most viewed by all visitors in the time frame defined in the collector	No
Look-alike-articles	Items that have similar content to the item provided	No
Recency	Items recently bought/viewed by the provided user	No
Recent High CTRs	Items most clicked-through from BlueConic recommendations by all visitors in the time frame defined in the collector	No
Recently bought items	Items recently bought by the provided user	No
Recently carted items	Items recently put in the shopping cart by the provided user	No
Same Category	Selects an article from the same category	No

Select one or more algorithms from the list available to users. For some algorithms, users can select the Ramp Up pace. Users can also adjust the Value slider to prioritize the algorithm when multiple are selected.

The available Ramp Up options are: Very Slow, Slow, Normal, Fast, Instant

Step 4: Apply relevant filters to be included in the content recommendations

This allows users to target specific sitenames, authors, or publication dates. Users can also create exclusion filters to exclude specific categories, authors, or sites from the content recommendations.

Product filters allow users to either exclude or exclusively include products that have been seen, added to a cart, or bought, as well as to hide out-of-stock products from the recommendations.

Step 5: Create Additional Configurations

Platform users can create multiple Boosts that allow for better recommendations. Once all the configurations are complete, users can submit them. The final workflow will display the new Recommended Notification block.