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Praestria

Performance & added value

Seven personas. One chain. Measurable value.

The Energy CRM serves seven profiles who don't share the same job, tools or pain points. Yet they all operate on the same value chain — from prospect to client exit.

Starting point

Seven personas, seven expectations, one value chain

What unites them

  • One shared value chain
  • One single source of truth per client
  • One contract to honor over time

What sets them apart

  • Very different jobs
  • Distinct dashboards, KPIs and alerts
  • Different timeframes (real-time vs quarterly)

The CRM promise

  • A shared core (Twenty + portal)
  • A UX tailored to each profile
  • Measurable value per persona

Reference frame

The value chain — 6 primary links

Plus 4 cross-functional support functions that irrigate the entire chain.

A1

Prospecting

Watch · leads

S01–S05

A2

Sale / Tender

Go/No-Go · pitch

S12–S18

A3

Contract

Pricing · signature

S19–S26

A4

Activation

DSO · onboarding

S27–S30

A5

Operation

Invoice · QBR · disputes

S31–S36

A6

Renewal

Amendment · churn

S37–S40

Cross-functional support

B1

Knowledge / ISO

B2

Compliance & ethics

B3

Data, BI & AI

B4

Field mobility

40

business scenarios

91

CRM features

15

Twenty objects

7

personas served

Who creates value where?

Seven profiles, one shared contract

Each card opens the persona's detail page: pain points before, gains with the CRM, and measurable KPIs.

Strategic focus

Pre-offer credit scoring — a lock that pays back on the first default avoided

A client default = €50k to €200k of average sunk loss. The 2022-2023 energy crisis took down hundreds of B2B clients. The S41/F95 lock industrializes the Go/No-Go decision before any offer is sent — A+ → E rating in under 3 business days.

8

rating notches A+ → E

< 3 d

decision time

60-70%

automatic Go

€50-200k

gain per default avoided

Synthesis

Aggregated added value

Summing the persona gains and the impact of pre-offer credit scoring, the Energy CRM generates measurable additional value on four levers.

+25%

portfolio net margin

AI scoring + tender reading + churn + pricing

−30%

effort per tender

F4 library + F51 AI assistant

+5 pts

renewal

F50 churn detection + systematic QBRs

−60%

unpaid losses

F95 / S41 pre-offer credit scoring

> 15

target LTV / CAC ratio

On industrial and public-sector segments, average LTV 3-6 years, with 84% net margin preserved. F95 credit scoring protects this ratio by avoiding catastrophic defaults.

Let's discuss your context.

Personalized demo around your priority personas, or exploratory call if you're still structuring your sales KPIs.