Business area digitalisation analysis

Direct-to-consumer: digitalisation opportunities

Connecting sales, inventory, pricing and customer experience in a single managed digital chain for manufacturers and brands selling directly to consumers.

Digital maturity

Typical digital maturity

Shows the level of technological and process digitalisation at which companies in the sector or business area typically operate today.

A typical market situation is assessed, not the most advanced companies.

The assessment consists of five equally weighted dimensions:

Core system usage
Whether ERP, CRM, WMS, MES, customer portals or other operationally important systems are widespread in companies.
Process digitalisation
How many core processes run in systems and how many are still managed manually.
Systems integration
Whether core systems exchange data between themselves or whether employees transfer information manually.
Data quality and readiness
Whether core data is structured, up-to-date, consistent and suitable for automation and analytics.
Advanced data use
Whether real-time analytics, forecasting, automated alerts, optimisation models or AI are used.

The final score is the average of the five dimensions.

1–5 scale

  • 1 very low maturity
  • 2 low maturity
  • 3 medium maturity
  • 4 high maturity
  • 5 very high maturity

A low maturity score does not necessarily indicate low potential. On the contrary, low maturity and a high level of manual work may indicate significant untapped digitalisation value.

high
Skaitmenizacijos potencialas

Digitalisation potential

Shows how much significant business value a typical sector or business area company can create by systematically digitalising core processes.

The rating is calculated on a 100-point scale across five dimensions:

Process frequency and scale 20 %
An assessment of how frequently the digitalised processes recur and what proportion of operations they represent.
Manual work intensity 20 %
An assessment of the extent to which processes depend on email, telephone, Excel, paper documents and repeated data entry.
Impact on revenue and costs 25 %
An assessment of the potential effect on sales, margin, customer retention, administrative costs, errors, downtime or inventory.
Growth and scale potential 20 %
An assessment of whether digitalisation would enable operational capacity to be increased without expanding headcount and costs at the same rate.
Impact on decisions and risk 15 %
An assessment of the potential effect on data reliability, decision-making speed, customer experience, and the reduction of errors and operational risk.

The final score is calculated according to the assessments and weights of all dimensions.

100-point scale

  • 0–20 very low potential
  • 21–40 low potential
  • 41–60 moderate potential
  • 61–80 high potential
  • 81–100 very high potential

A high score does not mean the solution will be easy to implement. It indicates the size of the potential value, not the implementation complexity.

89/100
Biggest challenge
Customer acquisition is optimised for revenue rather than profit
Biggest opportunity
Order contribution margin and unified customer profile

Direct-to-consumer growth is only valuable when each additional customer and order creates sufficient margin and repeat purchase potential.

How direct-to-consumer works

The business area encompasses direct-to-consumer sales by manufacturers and brands through own e-commerce, physical experience locations, subscriptions and selected external channels.

Marketing is the primary cost component

Growth is heavily influenced by paid customer acquisition, making it essential to see its full profitability.

Customer data is collected directly

An owned channel provides valuable history, but also creates the responsibility to use it transparently and meaningfully.

Channel conflict

Proprietary pricing and promotions can affect relationships with marketplaces or retail partners.

Cash flow sensitive to growth

Stock acquisition, advertising, returns and payment terms can create pressure even as revenue grows.

Market and technology context

Direct-to-consumer brands are increasingly combining their own channel, marketplaces and physical partners, making it essential to see not just the sales source, but the entire order margin, customer retention and cross-channel impact.

  • Rising customer acquisition costsBrands must focus more on retention, organic discovery and profitable channel mix.
  • Importance of privacy and consentFirst-party data is becoming more valuable, but its use must be transparent and based on tangible customer benefit.
  • Channel portfolio diversificationOwn channel, marketplaces and physical partners must be managed according to shared margin and brand logic.

Typical operating model

01

Product and offer preparation

Managed product facts, pricing, content, localisations, inventory and channel rules.

02

Customer acquisition and discovery

Advertising, partners, content, search and recommendations attract the customer to the owned channel.

03

Conversion and order

The customer selects a product, offer, subscription, delivery and payment.

04

Fulfilment and service

The order is transferred to the warehouse, delivered, exceptions, queries and returns are managed.

05

Repeat purchase

Data from product cycles, customer selections, consents and previous outcomes are used.

06

Profitability and product feedback

Order margin, returns, reviews and customer value feed back into marketing, product and inventory decisions.

Digital maturity journey

0

Separate e-commerce tools

Store, advertising, email, warehouse and service operate, but the customer and margin are seen differently.

1

Basic digital commerce

Orders and campaigns are managed, but decisions are based on revenue rather than full order profitability.

2

Automated parts of marketing and service flows

Segments, emails, subscriptions or returns tools work, but identities and consents are fragmented.

3

Integrated customer and order foundation

Customer history, consents, order margin, service and channels are connected in a single analytical chain.

4

Data-driven direct-to-consumer economy Typical current situationSiektina

Marketing, pricing, inventory, subscriptions and retention are optimised by contribution margin and customer value.

5

Adaptive brand relationship

Content, offers and service are tailored in real time, maintaining clear consent, brand and human control.

Key conclusion

In direct-to-consumer commerce, the digital maturity challenge is rarely a lack of tools. More often, there is a lack of a unified financial and customer data foundation that demonstrates true growth quality.

The first priority is order contribution margin and unified customer identification. Only then is it worth automating personalisation, subscriptions or generative content at scale.

Related digitalisation topics

Omnichannel commerce platformProduct information managementInventory managementCustomer loyalty system
Next step

Managing direct-to-consumer growth by actual order margin

Assess whether current marketing, customer, returns and fulfilment data enable reliable visibility of growth quality.