These are two business models with opposite commercial logics. The ERP consultancy sells high-ticket projects on relationship and trust; the B2B SaaS scales through product, volume and recurrence. The most common mistake is applying one model's sales playbook to the other.
Customer acquisition for an ERP consultancy and for a B2B SaaS follows different logics: the ERP sells high-ticket projects on relationship and trust, with long cycles, while the SaaS scales through product, volume and recurrence. Using one's strategy in the other is the most common mistake.
An ERP consultancy lives off the project; a B2B SaaS lives off the product. That difference at the root changes everything that follows on the commercial side.
The ERP consultancy implements, integrates and adapts a system to each client's business. Every sale is a project: high ticket, heavy customisation, a broad decision-making committee and a cycle measured in months. Value is built on trust —"these people understand my industry"— and on references from those who have been through the same thing. Growth is, by nature, more linear: it depends on the team's delivery capacity.
The B2B SaaS sells a standardised product on subscription. The ticket per account is lower, but the model is designed for volume and for growing within the installed base (more seats, more modules, higher plans). The growth engine is not manual delivery but a product that can be sold many times at a low marginal cost. That is why the conversation revolves around recurrence: revenue that repeats month after month and expands over time.
Neither is "better". They are different logics, and the right commercial strategy is the one that fits the real model, not the model you might wish you had.
Placed side by side, almost every parameter of the commercial process points in opposite directions. Here are the ERP versus SaaS acquisition differences in summary:
| ERP consultancy | B2B SaaS | |
|---|---|---|
| Sales cycle | Long: weeks or months, with several meetings and a decision committee. | Short to medium: trial, demo and a more agile decision. |
| Ticket | High per project, with associated recurring services. | Lower per account, recurring and expandable over time. |
| Growth engine | Relationship, references and delivery capacity. | Product, volume and expansion within the base. |
| Role of the salesperson | Consultant: diagnoses, proposes and supports the decision. | Closes, activates and expands; sometimes the product sells itself (product-led). |
| Key metrics | Margin per project, backlog, referral rate. | MRR/ARR, CAC, churn and net expansion. |
| Channel | Vendor prescription, partners, network and sector. | Demand marketing, self-service, digital channel. |
| AI support | Prospecting, proposal preparation and sector analysis. | Lead scoring, activation, usage and churn signals. |
The practical reading: in ERP you optimise the quality of each opportunity; in SaaS you optimise the whole flow, from demand to retention. Copying the other's tactics tends to be expensive.
For an ERP consultancy in Spain, the sales strategy that works best is one built on trust and proof, not raw volume:
AI here helps with prospecting, preparing proposals and analysing accounts, but it does not replace the relationship: in an ERP implementation, trust remains the main commercial asset.
Scaling a B2B SaaS is not about adding more salespeople but about improving the engine. Order matters:
The lever for scale in SaaS is improving conversion, activation and retention with process and data, not the endless expansion of the sales team.
Both models have something to teach each other, as long as it is adapted rather than copied blindly:
The underlying mistake, once again, is applying one playbook to the other without translating it to the real business model. Commercial strategy is designed from how the company makes money, not from what is fashionable in the sector.
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