SaaS & Technology
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SaaS & Technology

You built the product.
Now build the revenue engine.

Trial-to-paid conversion, expansion revenue tracking, and churn prevention -- CRM and data architecture designed for B2B SaaS and technology companies scaling past Series A.

PLG-ready
Product-led growth CRM
Expansion rev
Upsell pipeline visibility
Churn signals
Early warning system
Full funnel
Trial to renewal

SaaS & Technology — the reality

"B2B SaaS companies have the most complex revenue operations of any sector. Trial conversion, seat expansion, renewal management, and churn prediction all require different CRM logic. Most implementations treat SaaS like traditional B2B sales. The result is a CRM that tracks deals but misses the 70% of revenue that comes from existing customers."

Product-led growth Trial conversion Expansion revenue Churn prediction CS-to-sales handoff GDPR compliant

Challenges

What SaaS & Tech teams tell us every week

Trial users converting at below 15% and nobody knows why

Trial users converting at below 15% and nobody knows why

Product analytics and CRM are disconnected. Marketing attributes trials to campaigns. Product sees in-app behaviour. Sales sees none of it. No joined-up view of the conversion journey.

Expansion revenue invisible until renewal

Expansion revenue invisible until renewal

Account managers do not know which customers are ready to expand until the annual renewal. By then some are already in a competitive evaluation.

CS and Sales working from different customer records

CS and Sales working from different customer records

Customer success has product usage data. Sales has commercial history. Neither system has both. Handoffs between CS and Sales are painful and slow.

Marketing generates MQLs that Sales ignores

Marketing generates MQLs that Sales ignores

Lead scoring is based on form fills and email opens -- not product engagement. Sales reps rightly ignore leads who signed up but never logged in. Attribution is broken.

Our approach

How Celumai works in SaaS and technology

01

Product data into CRM

We connect product analytics (Mixpanel, Amplitude, Segment, or custom) to the CRM so sales and CS see in-app behaviour alongside commercial data -- trials, feature adoption, usage frequency.

02

Expansion revenue model

We design a separate pipeline for expansion, upsell, and cross-sell that is triggered by product usage signals rather than calendar-driven renewals. Revenue from existing customers becomes predictable.

03

PQL not just MQL

Product Qualified Leads -- users who have activated key features -- are automatically scored and routed to sales. Marketing attribution connects campaigns to product activation, not just form submissions.

04

GDPR-compliant data architecture

SaaS companies process personal data at scale. We design consent management, data residency, and right-to-erasure workflows into the CRM architecture -- not bolted on later.

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Regulatory context

We design CRM architectures that comply with GDPR and UK GDPR for EU and UK personal data processing, CCPA for California-based users, SOC 2 Type II data handling requirements for enterprise SaaS companies, PECR for electronic marketing to UK users, and data residency requirements for customers in regulated markets.

Case study
SaaS & Technology — client result
34%

Increase in trial-to-paid conversion after product data connected to CRM

A Series B B2B SaaS company had 11% trial conversion and no visibility into why trials churned. We connected Segment to HubSpot, built PQL scoring based on feature activation, and redesigned the trial nurture sequence.

11%->34%
Trial conversion rate
Segment+HubSpot
Connected in 6 weeks
NPS 71
Post-implementation score

"We finally know which trial users are ready to talk to sales based on what they actually did in the product, not what form they filled in. Conversion tripled in 90 days."

VP
VP Revenue
B2B SaaS Platform, Series B

FAQ

SaaS & Tech CRM questions answered

Everything you need to know about CRM in SaaS & Technology.

Free assessment

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Fixed-price options available
All data handled under NDA