Manufacturing

Drive incremental revenue via cross-sell and upsell.

  • Match relevant products and services to customers. Make recommendations based on their affinity and complementary nature, encouraging customers to consider additional, related purchases.
  • Increase the average deal size. Unify purchase history, product catalog, product usage, pricing and location/geographic data from CRM, marketing engagement, and external sources. Analyse product performance, pricing trends, and customer behaviour for informed decision-making.
  • Curate personalised customer journeys. Create custom journeys for each customer that aligns to data insights like propensity to purchase, communication preferences, and opportunity type.

Use case summary

Drive revenue growth by recommending products tailored to customer needs. Match and suggest complementary products to boost product adoption and sales. Promote additional purchases through product affinity and next-best offers.

Salesforce products used

Data Sources Used

Purchase History
Product Catalogue
Product usage
Pricing & Location
Geographic Data
Seasonal Trends
Inventory Levels & Market Demand Data
Customer Behaviour Data
ERP
Partner Channels

Apply Insights and Predictions

By bringing together the data sources referenced in this use case, teams can build calculated insights or run predictive models with Data Cloud that will allow them to make smarter decisions or power new automations.

Type Description
Calculated Insights Identify cross-sell and upsell opportunities by analysing customer segments and purchase histories. By calculating customer lifetime value and engagement scores, manufacturers can target high-value customers with tailored offers to drive incremental revenue.
Predictive Models Run models that predict propensity to buy new products or services based on past customer purchase data and other engagement or behavioural data.

What's the impact

Increased Incremental Revenue
Increase Average Order Value
Increase Customer Satisfaction
Increase Wallet Share