Revenue
Find sales potential
Revenue potential that previously went undetected becomes a prioritized sales list for tomorrow morning.
In the product
Which existing customers currently have the highest cross-sell potential, for which products, and why?
7 accounts identified with high cross-sell potential — top 3: OEM Ost, Zulieferer Baltic, Industriegruppe Rhein.
- OEM Ost: 3 assemblies without a maintenance contract, fault reports +40% — potential €480,000 (CM-200)
- Zulieferer Baltic: capacity utilisation >90% for 60 days — potential €310,000 (expansion package)
- Industriegruppe Rhein: contract term ends in 45 days, no exclusivity commitment — potential €265,000 (upgrade package)
Total potential across all 7 customers €2.4 million.
Recommendation: Prioritised outreach in the order 1. OEM Ost, 2. Baltic, 3. Rhein — highest probability of success based on documented buying signals, no contractual obstacles.
QuellenSalesforceContractsServiceNowSAP S/4
What changes
Before
- Three systems show only one third of the customer.
- Cross-sell lists are manually compiled from a range of different systems.
- Quarterly reporting costs 4 weeks of sales effort.
With d.AP
- One well-founded cross-system view — contract, service, products, potential.
- Lists built from real behavioural signals from the last quarter.
- Reporting effort −80% — sales sells instead of compiling data.
What it delivers
+€2.4m
Cross-sell realised in 6 months · top-100 account tier.
1view
instead of 3 systems
Across customers, contracts, and products.
−80%
Sales reporting effort per quarterly review cycle.
Connected data sources
SalesforceContract systemServiceNowSAP S/4Ticket system
Example use case
Use Cases
More use cases
10 Use cases
Next step
Come to us with your biggest challenge.
A 90-minute workshop. You come in with an open question and leave with an answer on how to solve your challenge.
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