Fendra

Turning complex data into profitable decisions.

What we do

Fendra helps Nordic software companies answer questions about pricing, monetization and growth.

Our experts use our own AI-driven analytics platform to deliver insights faster and more affordably than traditional consulting.

The platform

Our platform is built for large-scale AI-driven analytics on your customers, contracts and usage, with safeguards to reduce the risk of errors.

  • Data processing and analysis by AI agents
  • Rigorous data modelling and traceable findings
  • Expert review by our data scientists

Secure deployment

Runs locally, using your enterprise AI agreement or fully internal AI when data must stay within your environment.

Experienced team

Data scientists and former consultants, combining technical expertise with deep experience in pricing and commercial analysis.

Long-term partnerships

Extend the analysis into ongoing monitoring or a renewal and pricing dashboard your commercial team works in.

How we work together

1

Explore the opportunity

We discuss your priorities and review a small data extract, free of charge, to assess quality and feasibility.

2

Agree and analyse

We agree the scope, fee and timeline, then investigate your questions using our platform and expertise, typically over 6–8 weeks.

3

Turn findings into action

You receive clear recommendations, with optional monitoring or tailored tools to support decisions and track results.

Illustrative figures

Case example: increasing price campaign success in B2B software

Flat price increases are a common mistake in B2B software.

Previous approach

Uniform increases

10% requested from every customer.

RequestedAgreedReduction

+20+100-10

Price increase per customer, %

4.0%realized uplift, ARR weighted

Proposed approach

Differentiated increases

Each ask reflects customer potential and timing.

RequestedAgreed

+20+100-10

Price increase per customer, %

10.0%realized uplift, ARR weighted

Reach the portfolio ambition through individual customer price adjustment plans.

What we do, step by step

1

Understand status quo

We mapped what the customer base pays today, and the patterns in it.

Past increasesUsage vs pricePeer pricingPrice historyDiscounts
2

Assess timing and potential

We assessed every customer on contract timing and price potential, then placed them into buckets.

Pricing potential / 100050100Q1Q2Q3Q4Next renewal, 2027
3

Translate into individual plans

We gave sales a concrete plan per customer: going-in ask, target and walk-away price.

NordvikBerg & CoFjall DigitalOster Labs
012%
4

Build a monitoring tool

We built a monitoring tool so sales ops could track outcomes against target in real time.

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