Ecommerce Customer Retention Engineering: Win Repeat Customers
We build and connect loyalty, referral and CRM/ERP data flows, so purchases, returns, balances and opt-outs count the same way in every system.
Review one data flow- 4.9/5 on Clutch
- 431+ projects delivered
- 14 years on the market
Trusted by
Partner of
- Adobe
- Shopware
- BigCommerce
- Shopify Plus
- Emporix
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4.9/5
Overall review rating by Clutch
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431+
Successfully delivered projects
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3.5 yrs+
Avg engagement duration
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14 yrs
On the market
When you need retention engineering
It fits established stores with repeat buyers, where returns, customer IDs or loyalty balances don’t match across systems.
Need one customer view across all your data? See our customer data platform consulting.
Your platform or a ready-made app
Standard points or referral rules in one channel rarely need custom code, so start with what you have.
A CRM or loyalty specialist
If journey design, contact rules and campaign operations are the gap, a CRM or lifecycle specialist should lead.
Custom integration by Dinarys
When customer identity, balances or returns break across channels, our engineers connect the systems and test the rules.
Customer retention
use cases
Retention engineering pays off when loyalty, referral or CRM programs exist, but the data behind them is inconsistent across systems.
Typical situations where it delivers the most value:
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Loyalty across channels
Customers earn and redeem points online and in store, and balances must match everywhere they shop.
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Referral programs
You want customers to invite friends, with rewards tracked automatically and protected from abuse.
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One customer, many records
The same person appears as several customers across store, ERP and CRM, so offers and points go wrong.
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Repeat-purchase reminders
You want replenishment or win-back campaigns triggered by real purchase data, not rough guesses.
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Consent and opt-outs
Unsubscribes and consent choices must be respected in every system, even when older data is synced back.
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Platform or CRM change
A move to a new ecommerce platform or CRM must keep loyalty balances, customer history and consent intact.
Trusted in our clients’ own words
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5.0
What is most impressive is that they operate as a true strategic partner, not just a vendor.
The impact on our business has been transformative... Their proactive, forward-thinking approach is unique. They are constantly three steps ahead, bringing new ideas for our roadmap and pushing us to innovate in areas like customer journey, operations, and scalability.
Read full review
Tarek Yafi
Co-Founder at Undrgoods
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5.0
They are truly excellent in all aspects, and it’s a pleasure working with them.
They really care for the business and delivering great outcomes for us - they work work, diligently and strive for quality… Really experienced and right attitude of people: highly-skilled, intelligent, passionate about their work. Internal processes are excellent: well-organised, clear, repeatable.
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Dr. Petros Demetriades
CTO, Untamed Cat Food Ltd
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5.0
We especially liked their level of professionalism and attention to detail.
Dinarys effectively addressed all aspects of the project. The team’s ability to adhere to the agreed schedule was exemplary. Dinarys is very flexible and responds quickly to dynamically changing requests. All our expectations were met.
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Joseph Frank
CEO, Kaizen Technology Solutions
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5.0
Dinarys GmbH consistently meets our expectations and delivers high-quality work throughout the project.
They consistently prioritized our needs and vision. They were quick to adjust strategies when needed. They prioritized delivering high-quality work rather than rushing to meet quotas. Their team showed deep knowledge and skills in mobile app development.
Read full review
Yann Rigo
CIO, Panodyssey
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5.0
Their ability to communicate effectively while maintaining a positive attitude made the entire process smooth.
Dinarys brought extensive technical expertise to the table, consistently delivering solutions that met our needs with precision and innovation. One of the most unique aspects of working with Dinarys was the excellent "chemistry" between our team and theirs. This synergy made it easy to tackle challenges and move the project forward with confidence.
Read full review
Aaron Freitag
Managing Director, myfelt GmbH
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Read our reviews on Clutch
Compliance and partner status
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GDPR compliant
See our privacy policy -
HIPAA compliant
See our healthcare work -
Adobe Certified Solution Partner
As stated on our Clutch profile -
Shopware Certified Solution Partner
As stated on our Clutch profile -
Certified BigCommerce Partner
As stated on our Clutch profile
Agentic SDLC
AI-powered retention engineering
AI predicts churn, segments customers by behavior and picks the next offer. Our engineers connect store, CRM and loyalty data so the model learns from real purchases.
Agents at every stage, engineers steering
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Plan
Agents draft specs, user stories and acceptance criteria from your tickets, docs and code. Engineers sharpen them with you.
- Claude Code
- OpenAI Codex
- MCP
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Audit and estimate
Agents map your codebase, dependencies and risky modules before we quote, so estimates rest on facts.
- Claude Code
- Cursor
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Build
Coding agents work in your repository with project rules and context. Engineers steer and own the design.
- Claude Code
- Cursor
- GitHub Copilot
- OpenAI Codex
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Test
Agents write unit and end-to-end tests with every change, so testing stops being the bottleneck.
- Playwright
- PHPUnit
- Pest
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Review and secure
Every pull request gets an AI review and a security scan. A senior engineer approves before merge.
- CodeRabbit
- Semgrep
- Snyk
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Ship and operate
Quality gates run in CI on every change. Agents help trace incidents from logs and alerts.
- GitHub Actions
- Sentry
- Langfuse
Agents take the heavy lifting. Senior engineers set direction, review every change and own what ships.
AI platform stack
What we use to build agents and AI features into stores, portals and back-office tools.
- Models
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- Anthropic Claude
- OpenAI GPT
- Open-weight models
- Agent frameworks
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- LangGraph
- OpenAI Agents SDK
- Claude Agent SDK
- Model Context Protocol
- Retrieval (RAG)
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- pgvector
- Qdrant
- Elasticsearch
- OpenSearch
- Enterprise AI cloud
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- Amazon Bedrock
- Azure OpenAI
- Evals and guardrails
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- Langfuse
- Promptfoo
- Evals in CI
- In commerce
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- Semantic search
- Recommendations
- Product content
- Support agents
- Demand forecasting
Engineering stack
The platforms and tools under every project.
- Commerce and PIM
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- Adobe Commerce (Magento)
- Shopify Plus
- BigCommerce
- Shopware
- Spryker
- Salesforce Commerce Cloud
- commercetools
- Pimcore
- Languages
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- PHP
- TypeScript
- Python
- Kotlin
- Swift
- Frameworks
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- Laravel
- Symfony
- Node.js
- React
- Next.js
- Vue
- Data
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- PostgreSQL
- MySQL
- MongoDB
- Redis
- Elasticsearch
- Kafka
- RabbitMQ
- Cloud and DevOps
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- AWS
- Google Cloud
- Azure
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- GitLab CI
- Bitbucket Pipelines
- Monitoring
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- Grafana
- Prometheus
- ELK Stack
- Sentry
What our customer retention services include
We build the data flows behind loyalty, referral and repeat purchases. Your CRM team keeps campaigns, contact rules and incentives.
Event and identity mapping
We define which purchases, returns and opt-outs count, which IDs mean one customer, and which source wins.
Loyalty and referral programs
We build or connect points, balances, gift cards and referral rewards, so every reward follows your rules.
CRM, ERP and store integration
Online orders, store returns and loyalty events reach your CRM on time, so campaigns use current data.
Consent and opt-out rules
Opt-outs win over older data, so a replayed purchase or a late import does not resubscribe a customer.
Loyalty migration without lost balances
Balances, redemptions and disputed records are mapped and reconciled before the switch, and the cutover is rehearsed.
Data ready for measurement
Stable test and control groups let finance and marketing see whether a campaign brought real extra sales.
How we work
We start with one scenario. Every step ends with a result your marketing and IT teams can check.
1. Pick one repeat-purchase scenario
One market, one channel and the systems it touches. Your team approves segments, contact rules and incentives.
2. Map events, customers and rules
We document events, IDs and rules, and write down the expected result for returns, opt-outs and duplicates.
3. Configure, connect or build
We use platform features or a ready-made app where they fit, and custom code only where they fall short.
4. Test, launch and measure
We test on sample records before any customer is contacted, then hand over and measure against a control group.
Loyalty and retention case studies
Prostor: unified online and in-store loyalty
Challenge
An omnichannel drugstore chain moving to Magento 2 had to join in-store and online loyalty without resetting balances.
What we delivered
– Magento 2 migration with loyalty built in;
– One balance for online and in-store purchases;
– Custom bonus program with targeted rewards;
– ERP, CRM and omnichannel pickup integrations.
Zebrapack: custom referral program
Challenge
A US retailer of mailers and packing supplies saw repeat purchases decline and needed to leave Magento 1.
What we delivered
– Migration from Magento 1.9 to 2.4.6;
– Referral commissions for up to a year;
– A time-limited discount on every invitation;
– Custom printing on boxes and envelopes.
Spiele Max: gift and promo-card loyalty
Challenge
A German children’s retailer’s Magento 2 store had bugs from past vendors and struggled to retain customers.
What we delivered
– Audit, bug fixes and ongoing support;
– Loyalty service for gifts and promo cards;
– Integration with the existing Magento 2 store;
– Push notifications and a free-shipping bar.
Why companies choose Dinarys
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01
Delivery governance built into engineering
We bring structure, predictability, and control into software delivery.
Our approach is shaped by PMI-based project management, quality gates, risk management, and a success-first delivery culture.
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02
Accountable engineering
We do not only take tasks and write code.
We analyze the business and technical context, identify the real bottleneck, challenge weak assumptions when needed, and take responsibility for the technical outcome.
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03
Senior expertise for CTO-led execution
We support technical leaders with experienced engineers, architecture expertise, and practical roadmap execution.
This helps CTOs and Fractional CTOs stay strategic while having a reliable team to execute.
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04
Curated teams, not generic outstaffing
Every dedicated team is built around the client’s actual requirements, workflow, culture, risks, and delivery context.
We assess technical skills, soft skills, project fit, culture fit, communication style, and risk factors before proposing engineers.
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05
Practical AI, from the process
We start from the business process, compare platform features, ordinary automation and AI, and use AI only where it removes real work.
Every AI step gets quality checks and human oversight.
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06
A partner that has your back
Good delivery depends on trust, honest communication, and people who care about the outcome.
We stay close to the problem, speak openly, involve the right experts, and do not leave clients alone with delivery risk.
Frequently asked questions
The data and rules behind loyalty, referral and repeat-purchase programs: event and customer mapping, opt-out rules, loyalty and referral services, and CRM, ERP and store integration. Your CRM team keeps campaigns and incentives.
Divide the number of customers from a fixed starting group still active at an agreed checkpoint by the size of that group. Leave out customers gained later, and define “active” before comparing periods.
Yes. We map balances, redemptions and disputed records, reconcile both systems before the switch and rehearse the cutover. For Prostor, we unified online and in-store loyalty during a Magento 2 migration without resetting balances.
First we confirm the data flow passes the agreed tests. Then finance and marketing compare results with a control group, after discounts, returns and costs. We do not promise a retention increase in advance.
It depends on the systems, historical balances, refunds, identity and consent rules. We estimate the first data flow separately, so you can decide on more markets or channels after it works.
An anonymized repeat-purchase example, the systems it crosses, the rule that fails and the metric you can measure. Please do not send customer records in the first message.
Discuss your retention data flow
Tell us about one repeat-purchase scenario. We’ll say whether it needs configuration, a CRM specialist or custom engineering.