Recommender Systems
SOLUS comes with powerful Recommender systems to help brands recommend products, categories or offers to customers at the N=1 level.
- Uses online, offline, transactional, non-transactional signals
- Multiple Strategies: Genome Matching, Preference Vector, IBCF, Content-based filtering, Trending
- SmartBasket capabilities that combine reorders and recommendations
- Recommender of Recommenders
- Reco Stories that convert Recommendations into customer friendly selling stories
- Accounts for business rules such as exclusions, promoted products, stock checks and more
Our Predictive Models are out of the box, use machine learning methods such as gradient boosting, and give you instant access to powerful tools such as gain charts, and tracking of how conversions vary across deciles.
Predictive Scores
SOLUS AI comes pre built with predictive scores that help with targeting customers with the propensity to demonstrate specific behaviours.
- Likely to buy in the next N days (Can select between 7/ 15/ 30 days): Select customers with a high propensity to buy and either target them, or suppress them from campaign lists
- Likely to Repeat: Propensity of a newly acquired customer to do a next transaction, allows marketers to prioritize spends and offers on higher propensity acquisitions.
- Likely to Churn: Propensity of an existing customer to not transact again in the future
- Propensity to be Won back: Likelihood of a lost customers to be won back, useful for marketers with large dormant databases who want to improve their ROI on winback campaigns.
Smart Campaigns
The SOLUS Smart Campaign systems have been built to power campaigns with a focus on personalization, recommendations, and incrementality tracking.
- For both CLM (Recurring/ Lifecycle) or GTM (One Off/ Marketing Led)
- Ability to use Recommender stories within campaigns
- Ability to manually set a waterfall or allow SOLUS to auto-determine campaign sequence using its contextual multi-armed bandit solvers
- Ability to specify advanced response and attribution criteria
- Ability to automatically choose the best day to target
- Ability to configure unique (n=1 level) short URLs and landing pages for push campaigns
- Ability to set up all multiple segmentation schemes, and create tactical segments for campaigns
- Integrations for SMS/ WhatsApp (or similar)/ Email and Push Notification
- Robust TG/ CG mechanism for Incrementality tracking
- Ability to track campaign effectiveness using Multi Touch Attribution
Campaign Insights in SOLUS AI focus on Incrementality measurement and include:
- Outreaches and channel split
- Incremental Revenue, Lift, TG vs. CG metrics
- CRM KPIs tracking such as Repeat, Retention, Winback etc.
- Any vs. Hard Response (bought specific product)
- Conversion Analysis – what was bought in the conversions
- Attribution views – Last Touch vs. MTA
- Yield reports that specify the ROI from campaigns
Insights
The Insight section of SOLUS AI is a set of incredibly powerful reports covering Campaign and Customer insights.
Customer Insights gives marketers all the tools they need to manage their retention or CRM/ CLM programs. These include:
- Repeat customer base and revenue tracking
- Bounce curve or Interpurchase cycle tracking
- Repeat Cohorts
- Glue number and Glue cohorts (how sticky is the customer base)
- Multiple Segmentation schemes with segment profiling
- Customer frequency distributions
- Segment movements over month/ quarter/ year
Recommender Systems
SOLUS comes with powerful Recommender systems to help brands recommend products, categories or offers to customers at the N=1 level.
- Uses online, offline, transactional, non-transactional signals
- Multiple Strategies: Genome Matching, Preference Vector, IBCF, Content-based filtering, Trending
- SmartBasket capabilities that combine reorders and recommendations
- Recommender of Recommenders
- Reco Stories that convert Recommendations into customer friendly selling stories
- Accounts for business rules such as exclusions, promoted products, stock checks and more
Predictive Scores
SOLUS AI comes pre built with predictive scores that help with targeting customers with the propensity to demonstrate specific behaviours.
- Likely to buy in the next N days (Can select between 7/ 15/ 30 days): Select customers with a high propensity to buy and either target them, or suppress them from campaign lists
- Likely to Repeat: Propensity of a newly acquired customer to do a next transaction, allows marketers to prioritize spends and offers on higher propensity acquisitions.
- Likely to Churn: Propensity of an existing customer to not transact again in the future
- Propensity to be Won back: Likelihood of a lost customers to be won back, useful for marketers with large dormant databases who want to improve their ROI on winback campaigns.
Our Predictive Models are out of the box, use machine learning methods such as gradient boosting, and give you instant access to powerful tools such as gain charts, and tracking of how conversions vary across deciles.
Smart Campaigns
The SOLUS Smart Campaign systems have been built to power campaigns with a focus on personalization, recommendations, and incrementality tracking.
- For both CLM (Recurring/ Lifecycle) or GTM (One Off/ Marketing Led)
- Ability to use Recommender stories within campaigns
- Ability to manually set a waterfall or allow SOLUS to auto-determine campaign sequence using its contextual multi-armed bandit solvers
- Ability to specify advanced response and attribution criteria
- Ability to automatically choose the best day to target
- Ability to configure unique (n=1 level) short URLs and landing pages for push campaigns
- Ability to set up all multiple segmentation schemes, and create tactical segments for campaigns
- Integrations for SMS/ WhatsApp (or similar)/ Email and Push Notification
- Robust TG/ CG mechanism for Incrementality tracking
- Ability to track campaign effectiveness using Multi Touch Attribution
Insights
The Insight section of SOLUS AI is a set of incredibly powerful reports covering Campaign and Customer insights.
Customer Insights gives marketers all the tools they need to manage their retention or CRM/ CLM programs. These include:
- Repeat customer base and revenue tracking
- Bounce curve or Interpurchase cycle tracking
- Repeat Cohorts
- Glue number and Glue cohorts (how sticky is the customer base)
- Multiple Segmentation schemes with segment profiling
- Customer frequency distributions
- Segment movements over month/ quarter/ year
Campaign Insights in SOLUS AI focus on Incrementality measurement and include:
- Outreaches and channel split
- Incremental Revenue, Lift, TG vs. CG metrics
- CRM KPIs tracking such as Repeat, Retention, Winback etc.
- Any vs. Hard Response (bought specific product)
- Conversion Analysis – what was bought in the conversions
- Attribution views – Last Touch vs. MTA
- Yield reports that specify the ROI from campaigns