Understanding business goals and use cases
Innkeepr supports use cases, organized into 4 main business goals:- Improve new customer acquisition
- Suppress spend on unlikely converters
- Boost retention, upsell, and cross-sell
- Increase long-term profitability
Selecting your use case
Follow these steps to identify which use case to implement:- Identify your primary business goal from the four business goals.
- Review the use cases associated with that goal, considering how each aligns with your specific needs.
- Evaluate your current data collection capabilities and the resources you have available.
- Consider your long-term business strategy and how different use cases might support your future goals.
- If you’re unsure, start with a use case that addresses your most pressing current need.
Improve new customer acquisition
The New Customer Acquisition goal centers around growing your customer base by reaching new, high-quality prospects. By leveraging your existing visitor or customer data effectively, you can create robust seed audiences for lookalike modeling - enabling platform algorithms to identify and reach people who closely resemble your most valuable users.Key Considerations for New Customer Acquisition
- Do you want to lower customer acquisition costs?
- Are you looking to expand your customer base with similar high-value customers?
- Do you need to drive app installations?
- Are you trying to increase signups or prevent cart abandonment?
View of Use Cases Customer Acquisition
| Use Case | Signal | Description |
|---|---|---|
| Build seeds based on predicted ad impact | Seeds | Create seed audiences using users with a high predicted responsiveness to your ad campaigns. This helps you build larger, high-quality seeds - even when actual conversions are limited. |
| Exclude recent purchasers or converters | Seeds, Exclusions | Suppress users with recent conversion events to reduce overlap and improve seed purity for prospecting. |
| Tune conversion values based on predicted ad impact | Conversions | Weight conversion values based on incremental impact to help platform algorithms identify with incremental bidding. |
| Predict signup likelihoods to grow user base | Seeds | Use behavioral signals (e.g. session depth, engagement metrics) to model signup intent and generate seed audiences. |
| Identify high-value customers | Seeds, Exclusions,Conversions | Build seeds from top-LTV or low-churn customer segments for lookalike modeling focused on high-quality acquisition. |
Suppress spend on unlikely converters
The Suppress Spend on Unlikely Converters goal focuses on improving efficiency by reducing exposure to users with low predicted conversion probability. By excluding these users early in the funnel, you can reduce wasted spend, focus budget on high-quality audiences, and improve overall campaign performance. Key considerations for this goal:- Are you seeing high click volume but low conversion rates?
- Do you want to avoid paying for impressions from low-intent traffic?
- Are you looking to improve CAC by refining early funnel targeting?
View of Suppress spend on unlikely converters
| Use Case | Description |
|---|---|
| Exclude low LTV visitors | Identify visitors with low monetization potential and suppress follow-up spend. |
| Pre-qualify traffic before retargeting | Apply filters based on session quality or engagement to limit retargeting to viable visitors only. |
| Suppress low-propensity app installs | Exclude users with low predicted install likelihood based on pre-click signals or prior campaign data. |
| Filter cart abandoners unlikely to convert | Segment cart abandoners by intent and exclude those with low recovery probability. |
| Suppress low signup intent | Remove users with weak behavioral or contextual indicators from signup-focused campaigns. |
| Suppress churn-prone free users | Prevent remarketing to users with early churn indicators during onboarding or trial. |
Boost Retention, Upsell, and Cross-Sell
The boost retention, upsell, and cross-sell business goal focuses on maximizing the value of your existing customer base. By analyzing customer behavior and preferences, you can create targeted strategies to encourage repeat purchases, introduce customers to higher-value products or services, and increase overall customer lifetime value. Key considerations for this goal:- Do you want to find more customers who share traits with your most valuable existing customers?
- Are you looking to increase the frequency of purchases from existing customers?
- Do you need to prevent churn among your high-value customers?
- Do you need to personalize your upsell or cross-sell efforts?
View of Boost Retention, Upsell, and Cross-Sell
| Use Case | Description |
|---|---|
| Target customers with next-best offer | Use purchase history and product affinity signals to identify cross-sell or upsell opportunities and deliver personalized follow-up offers (e.g. complementary products, bundle logic). |
| Accelerate first purchase | Optimize early user journeys (e.g. landing page, product discovery) to drive faster first-time purchases. |
| Promote first-time offers | Serve targeted incentives (e.g. discounts, free shipping) to new users to increase conversion likelihood. |
| Convert browsers to buyers | Identify high-intent product viewers and retarget them with dynamic creatives to encourage first conversion. |
| Recover abandoned carts | Detect and retarget new users who abandoned their cart, with urgency-based messaging or personalized recovery flows. |