Getting started
1
Navigate to Analytics
From your Hello Clever dashboard, go to Growth Tools → Analytics. Insights are surfaced alongside your sales, customer, and channel widgets for the selected date range.
2
Review surfaced insights
Each insight is presented as its own widget or callout, for example flagging your top customers by lifetime volume, first-time customers, or customers at high churn risk.
3
Act on a suggested next step
Every insight includes a suggested action, such as targeting a segment with a cashback campaign, reaching out to a lapsing customer, or investigating a channel that’s underperforming.
Types of insights
Customer segments
Identifies your highest-value customers by lifetime volume, and first-time customers you can convert into repeat buyers.
Churn risk
Flags customers whose purchasing behaviour suggests they are at risk of lapsing, so you can re-engage them before they churn. The High churn risk filter on the Customers screen shows the full segment.
Redemption trends
Flags drops in cashback redemption rates so you can adjust a campaign before it underperforms further.
Channel performance
Surfaces your top-performing payment channels and integrations, so you know where sales volume is actually coming from.
How insights are generated
Clever AI combines the following data sources to generate insights, using the anonymised transaction and behavioural data already flowing through your Hello Clever account:- Historical and real-time transaction volume
- Customer purchase and repeat-visit patterns
- Cashback redemption activity
- Channel and integration performance
Clever AI features, including Actionable Insights and the Forecaster, are built on anonymised transaction data. See AML/CTF and AI practices for how Hello Clever handles this data.
Use cases
Targeted cashback campaigns
Focus a new campaign on the customer segment an insight identifies as highest-value or at risk of churning, rather than targeting everyone equally.
Retention
Re-engage customers flagged as at risk of churning before they stop purchasing altogether.
Campaign monitoring
Catch a drop in redemption rate early and adjust a live campaign instead of waiting for a post-mortem.
Channel investment
Double down on the channels an insight surfaces as top-performing, and investigate ones that are underperforming.
Limitations
- Stores with limited transaction history may see fewer or less specific insights until more data has been captured.
- Insights reflect patterns in past and current data, and do not automatically account for external factors such as holidays or one-off promotions.