Every business that manages customer relationships eventually runs into the ceiling of what a commercial CRM can do. Salesforce handles the standard sales pipeline. HubSpot handles inbound marketing. Neither handles the specific commission model your sales team negotiated, the multi-touch attribution logic your marketing team uses, the integration with the legacy billing system that predates both, or the custom reporting that your executive team actually looks at. Automely builds custom CRM software and marketing technology platforms — built around how your business actually works, not how Salesforce wants it to.
Dedicated developers • 7-day onboarding • CRM, MarTech & AdTech • NDA on day one50+
Clients Served
120+
Projects Delivered
7 Days
Average Onboarding
4.9/5★
Clutch / GoodFirms Rating
Commercial CRM platforms impose a data model. Salesforce's standard objects — leads, contacts, accounts, opportunities — work for a standard B2B sales cycle. They do not work cleanly for a business with a fundamentally different commercial model: a marketplace with buyer and seller relationships in a single platform, a subscription business where the contract value changes every renewal, a professional services firm where the relationship is with an individual partner rather than an account, or a consumer business where the CRM needs to hold behavioural data at a volume that Salesforce's licensing model makes economically impractical.
Marketing technology (MarTech) and advertising technology (AdTech) platforms face a different problem: the commercial stack they need does not exist as a single off-the-shelf product. A demand-side platform (DSP) for programmatic advertising, a customer data platform (CDP) that unifies identity across touchpoints, a multi-touch attribution model that reflects actual customer journeys rather than last-click — these are products that need to be built, not bought. Automely builds the platforms that advertising agencies, performance marketing companies, and marketing technology businesses need to operate and differentiate.
Automely's engineering capability in data pipelines, AI/ML, and real-time event processing applies directly to MarTech and AdTech development — whether that means a lead scoring model trained on your CRM history, a server-side conversion tracking infrastructure that replaces leaky client-side pixels, or a real-time bidding engine built to OpenRTB specification.
WHAT WE BUILD
Every CRM and MarTech engagement is scoped to your specific data model, sales motion, and integration requirements — not a generic platform configuration.
Custom CRM systems built around your specific sales motion and data model: lead and contact management, deal pipeline and stage configuration, custom field and object architecture, activity logging (calls, emails, meetings) with two-way email integration, task and reminder management, role-based visibility rules, custom reporting and dashboards, and the automation logic that routes leads, triggers follow-up tasks, and updates deal stages based on your actual process. Built as a standalone platform or as a custom layer on top of an existing CRM via API extension.
Build Your Custom CRM →Deep CRM customisation and system integration for businesses that have outgrown the standard platform configuration: custom Salesforce development (Apex classes, Lightning Web Components, custom objects, Flow automation), HubSpot custom integrations and workflow automation, CRM API integration with ERP systems (NetSuite, SAP), billing platforms (Stripe, Recurly), and the custom data pipelines that keep CRM data synchronised with upstream and downstream systems in real time.
Extend Your Existing CRM →Custom marketing automation platforms: audience segmentation engines, multi-channel campaign orchestration (email, SMS, push, in-app), behavioural trigger logic (send this message when a user does this action), A/B and multivariate test frameworks, dynamic content personalisation, campaign performance analytics with revenue attribution, and suppression list management. Built for businesses that have outgrown the standard journey builders in HubSpot, Klaviyo, and Braze — or that need to own the customer communication infrastructure.
Build Your Marketing Automation →Advertising technology platform development: demand-side platform (DSP) architecture for programmatic media buying, supply-side platform (SSP) development for publishers, ad server development for direct-sold inventory, creative management platforms, dynamic creative optimisation (DCO) for personalised ad serving, fraud detection and invalid traffic filtering, and the reporting infrastructure that advertising operations teams need for campaign transparency. Built with OpenRTB protocol compliance for ecosystem interoperability.
Build Your AdTech Platform →Custom CDP development: first-party data ingestion from web, mobile, CRM, and transactional sources, identity resolution across anonymous and known user records, unified customer profile creation with real-time update capability, audience segment builder for marketing activation, and API output to downstream activation channels (email, advertising, personalisation). An owned CDP gives full control over identity data without third-party data sharing — increasingly important as third-party cookie deprecation makes first-party data the primary targeting asset.
Build Your Customer Data Platform →Marketing measurement and attribution platforms: multi-touch attribution models (linear, time-decay, data-driven), media mix modelling integration, conversion tracking infrastructure (server-side tagging to replace client-side pixel loss), incrementality test design and measurement, and the executive reporting layer that translates channel-level performance into revenue contribution. Built as a standalone analytics platform or as an extension of an existing BI infrastructure.
Build Your Attribution Analytics →HOW WE WORK
Six stages built around the specific challenges of CRM and marketing technology — from data model discovery through AI model deployment and live rollout.
01
We map your sales motion, customer relationship model, existing system integrations, and the specific workflow requirements that commercial platforms cannot handle. For CRM projects: we document your actual pipeline stages, deal qualification logic, and reporting requirements before touching any configuration. Deliverable: Data model specification, integration map, and phased development roadmap.
02
For custom CRM builds: database schema design, API specification, and integration architecture for all connected systems. For Salesforce/HubSpot customisation: custom object design, integration pattern selection, and data synchronisation strategy. For CDP projects: data ingestion architecture, identity resolution logic, and activation API design. Deliverable: Architecture specification approved before development begins.
03
Backend API and database development in parallel with frontend dashboard and interface development. Two-week sprints with working software at the end of each cycle. CRM data model and core CRUD operations are built first — pipeline management and reporting come in the following sprint. Deliverable: Testable working software increments delivered every sprint.
04
Integration with ERP systems, billing platforms, email providers, marketing automation tools, and data warehouses. Real-time event streaming for CDP projects using Kafka. Data quality validation and deduplication logic for CRM migrations from existing systems. Deliverable: Verified integration flows with documented error handling and data reconciliation approach.
05
Lead scoring model training on historical CRM data, attribution model deployment and validation, behavioural trigger logic configuration for marketing automation, and AI-powered personalisation layer setup. For AdTech projects: real-time bidding engine performance testing and fraud detection model deployment. Deliverable: Deployed and validated AI and automation features with performance benchmarks.
06
Data migration from existing CRM systems, user training, and controlled rollout by team or region. Your dedicated developer remains available for new integrations, custom report development, AI model retraining, and feature additions as the business evolves. Deliverable: Live platform with monitoring dashboards, user documentation, and a roadmap for the next development phase.
CRM and MarTech projects have specific failure modes — data models that don't match the business, integrations that break when Salesforce releases a platform update, and attribution platforms that produce numbers nobody trusts. Automely's CRM and MarTech developers know these failure modes before the first sprint.
The Problem You Face
What Automely Does Differently
Salesforce and HubSpot impose a data model designed for standard B2B sales — businesses with different commercial models spend more time working around the platform than using it
We build CRM data models around how your business actually works — the objects, relationships, and automation logic that match your specific sales motion and customer lifecycle
CRM licensing at scale becomes the largest line item in the sales technology budget — Salesforce can exceed $1M/year for 500+ users with full feature access
A custom CRM built once and hosted at infrastructure cost can serve 500 users at a fraction of the commercial platform cost, with no per-seat licensing and no feature tier restrictions
Marketing automation platforms like HubSpot and Klaviyo have journey builders that work for standard nurture sequences — not the complex multi-signal behavioural triggers that drive revenue in sophisticated operations
We build custom marketing automation with arbitrary trigger logic — any combination of user behaviour, CRM data, transactional events, and external signals can trigger any communication on any channel
AdTech platforms built by general agencies lack the performance engineering required — real-time bidding at 100,000+ requests per second with sub-100ms response requirements is a specific engineering discipline
Our AdTech developers understand OpenRTB protocol compliance, bid shading logic, fraud detection patterns, and the infrastructure architecture required to operate at programmatic advertising scale
Customer data lives in disconnected systems — web analytics, CRM, email, and transactional platforms each hold a different version of the customer record with no unified view
We build CDP infrastructure that ingests events from every source, resolves identity across anonymous and known user records, and maintains a single customer profile that every activation system reads from
Marketing attribution uses last-click by default because no one has built the infrastructure to capture the full conversion path — decisions are made on data that misrepresents how customers actually convert
We build multi-touch attribution infrastructure with server-side conversion tracking, data-driven attribution models trained on actual conversion paths, and the incrementality testing framework to validate model accuracy
TECH STACK
Every technology below is used in live CRM and marketing technology deployments — real-time event streaming, AI lead scoring, OpenRTB AdTech, and server-side conversion tracking.
Node.js / NestJS
Python
PostgreSQL
Redis
Below are examples of CRM and marketing technology projects delivered by Automely. All client details are kept confidential.
SECTORS WE SERVE
Our CRM and marketing technology developers understand the specific data models, compliance requirements, and integration challenges for each sector below.
B2B SaaS & Technology
Custom CRM with product-qualified lead models, usage-signal scoring, expansion revenue tracking, and the CRM-to-billing integration that product-led growth companies need to manage pipeline accurately.
B2B SaaS CRM Development
Performance Marketing Agencies
CDP development, server-side conversion tracking, multi-touch attribution platforms, and the cross-channel audience activation infrastructure that agencies need to deliver accurate campaign measurement.
Agency MarTech Development
E-commerce & Retail
Behavioural marketing automation, post-purchase lifecycle campaigns, AI-powered product recommendation engines, customer lifetime value modelling, and the retention analytics infrastructure that DTC brands need.
E-commerce MarTech Development
Media & Publishing
Audience management platforms, subscriber lifecycle CRM, programmatic advertising integration, first-party data monetisation infrastructure, and the paywall and subscription management tools that digital publishers need.
Media Technology Development
Financial Services
Compliant CRM for FCA-regulated businesses, lead and adviser matching platforms, marketing attribution for regulated products, and the customer communication infrastructure that financial services businesses can deploy within compliance constraints.
FinTech CRM Development
AdTech Startups & DSPs
Demand-side platform development, supply-side platform development, ad server builds, creative management platforms, fraud detection infrastructure, and the real-time bidding engine architecture that programmatic advertising businesses require.
AdTech Platform Development
FREQUENTLY ASKED QUESTIONS
When should a business build a custom CRM instead of using Salesforce or HubSpot?
Build custom CRM when one or more of the following apply: (1) Your data model does not fit standard CRM objects. Salesforce and HubSpot are built for B2B sales pipelines — if your business model is fundamentally different (marketplace, professional services with partner-level relationships, consumer subscription with behavioural CRM requirements), the standard model becomes a continuous workaround. (2) Licensing cost is prohibitive at your required scale. Salesforce charges per seat — at 500+ users with full feature access, the annual cost can reach $1M+. A custom-built CRM built once and hosted at infrastructure cost can be significantly cheaper at scale. (3) Integration complexity has created a fragile system. If your CRM sits at the centre of 15+ integrations maintained through a combination of Zapier, middleware, and custom code, rebuilding as a custom platform with integrations designed into the architecture is often more reliable. (4) Competitive differentiation requires unique capability. If how you manage customer relationships is part of your competitive advantage, owning the system is strategically important.
| Build Trigger | Detail |
|---|---|
| Non-standard data model | Marketplace, professional services, consumer subscription — Salesforce objects don't map cleanly |
| Prohibitive licensing cost | Salesforce at 500+ users with full feature access can exceed $1M/year annually |
| Fragile integration layer | 15+ integrations via Zapier and middleware — rebuild with integrations designed into the architecture |
| Competitive differentiation | Customer relationship management is part of your competitive advantage — own the system |
What is MarTech and what does it include?
MarTech (marketing technology) refers to the category of software tools used by marketing teams to plan, execute, manage, and measure marketing activity. The MarTech landscape includes: CRM platforms (Salesforce, HubSpot) for customer relationship management, marketing automation platforms (Marketo, Klaviyo, Braze) for campaign execution, analytics and attribution platforms (GA4, Amplitude, custom attribution models), customer data platforms (Segment, Tealium) for identity resolution, content management systems for web and landing page management, social media management tools, SEO platforms, and advertising technology tools for paid media. Chief Martec's annual landscape report consistently identifies 10,000+ MarTech products — the complexity of the category is a driver for custom development, as no combination of off-the-shelf tools covers every business's specific requirements without custom integration work.
What is AdTech and how is it different from MarTech?
AdTech (advertising technology) refers specifically to the technology infrastructure for buying, selling, and serving digital advertising — as distinct from MarTech, which covers broader marketing activity including owned and earned channels. AdTech components include: demand-side platforms (DSPs) used by advertisers to buy ad inventory programmatically, supply-side platforms (SSPs) used by publishers to sell inventory, ad exchanges where programmatic auctions occur in real time, data management platforms (DMPs) for audience data, verification tools (DoubleVerify, IAS) for brand safety and fraud detection, and ad servers for trafficking and serving creatives. The distinction matters for development: AdTech platforms must handle real-time bidding (RTB) at very high request volumes (100,000+ bid requests per second for a DSP) with sub-100ms response time requirements — a fundamentally different performance engineering problem from a marketing automation platform.
What is a Customer Data Platform (CDP) and do I need one?
A Customer Data Platform (CDP) is software that creates a unified, persistent customer profile by ingesting and resolving identity across multiple data sources — web analytics, mobile app events, CRM data, transactional data, email engagement, and offline data. The output is a single customer record that updates in real time and can be used to power personalisation, marketing activation, and analytics. You need a CDP if you have customer data in multiple systems that are not synchronised (common when web behaviour, email engagement, and purchase history live in separate platforms), if you need to activate the same audience definition across multiple channels (targeting the same segment on email, paid advertising, and in-app personalisation simultaneously), or if third-party cookie deprecation is eroding your ability to track users across sessions and you need to build on first-party data. Commercial CDPs (Segment, Tealium, mParticle) handle standard use cases. Custom CDP development makes sense when data volume, identity resolution complexity, or data ownership requirements exceed what commercial platforms support.
Building a custom CRM, a marketing automation platform, an AdTech product, or a customer data platform? Tell us what you are building and we will match you with a developer who has built in marketing technology before.
No lock-in contracts • NDA on day one • CRM, MarTech & AdTech expertise
