Diagnostics
Goal, audience, economics, and current constraints
DIVA E-commerce · Digital · AI
Digital commerce for manageable growth
We develop websites, online stores, and applications, generate demand, connect marketing with sales, and automate processes — within one digital framework.
E-commerce ecosystem
An integrated digital sales system
The platform, traffic, data, and operations must support one business model. That is why every project begins with the objective and economics; technology is selected afterward.
01WEB
Websites, online stores, and applications
We design and develop digital products that connect the brand, catalog, payments, service, and data.
Practical outcomeA functioning digital platform with clear architecture, analytics, and room for further development.
Learn more ↗02ADS
Search and targeted advertising
We manage Meta Ads, Google Ads, YouTube, targeting and retargeting with transparent lead and sales analytics.
Practical outcomeAn advertising system with transparent objectives, accurate measurement, and regular optimization against business metrics.
Learn more ↗03MKT
Digital marketing and sales growth
We manage social media, produce photography, video, Reels and Stories, work with influencers, and connect content to sales.
Practical outcomeAn agreed marketing plan, a prioritized set of channels, and a regular hypothesis testing cycle.
Learn more ↗04DATA
Analytics and end-to-end analytics
We connect website, advertising, CRM, and sales data so that decisions are made across the entire funnel rather than based on clicks.
Practical outcomeA unified metrics and dashboard system showing the path from traffic source to revenue and margin.
Learn more ↗05AUTO
Business automation and integrations
We remove manual gaps between an inquiry, order, warehouse, payment, communications, and management reporting.
Practical outcomeAn agreed and implemented automation framework with clear roles, statuses, integrations, and exception control.
Learn more ↗06AI
AI implementation and AI automation
We embed AI into specific processes: handling inquiries, knowledge, content, documents, analytics, and operations.
Practical outcomeA validated AI use case with measurable impact, quality control, safe boundaries, and a scaling plan.
Learn more ↗Integrated framework
Five stages from objective to scaling
The team structure and depth of each stage depend on product maturity, data quality, and current infrastructure.
Strategy sets the direction. Analytics shows the facts. Automation frees the team's time. AI is introduced where the process and quality criteria are already clear.
Architecture
Customer journey, data, processes, and integrations
Execution
Product, channels, and priority scenarios
Measurement
Conversions, sales, margin, and quality
Development
Hypotheses, automation, and scaling
Starting point
We join at the business's current stage
There is no need to rebuild everything at once: we begin with the area where a verifiable effect and data for the next decision can be obtained.
Create a digital product and the first sales channels
We design a website, online store, or application, connect analytics, and prepare a demand generation system.
Identify losses in traffic, conversion, and repeat sales
We connect marketing, advertising campaigns, the customer journey, and economics into one improvement cycle.
Reduce manual work and introduce AI into processes
We select economically justified scenarios, integrate systems, and leave the team with transparent control.
Digital project
Describe the product, process, or growth lever
We will review the current system, define the priority workstream, and propose the next verifiable step — from audit to implementation.