NexaMarTech

    AI-Powered MarTech & Marketing Automation Solutions

    NexaMarTech empowers businesses across Canada to harness the power of artificial intelligence. We help companies automate their marketing efforts, transform raw data into actionable insights, and accelerate the development of AI-powered applications for sustained, data-driven growth.

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    Ship a GenAI app fast: $3,000 MVP or $5,000 production-ready hosted app

    Working software in 2–4 weeks, built and hosted by NexaMarTech.

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    Marketing Automation Services, MarTech Consulting & AI Marketing Solutions

    Our expertise spans six core capability areas, each designed to deliver measurable outcomes. We provide dedicated strategies covering scope, approach, and performance benchmarks to ensure your success. As your trusted marketing technology consultant, we deliver excellence in every project.

    Core Marketing Automation Services and AI Capabilities

    NexaMarTech provides a focused suite of services designed to integrate advanced technology into your marketing framework. We build the essential data models and clear operational rules, adding AI where it delivers the most impact.

    • AI-Powered Lifecycle Workflows and Nurture Automation
    • Intelligent Lead Qualification and Scoring Systems
    • CRM Automation and Proactive Data Hygiene
    • Advanced Customer Segmentation and Reporting
    • Development of Custom AI Applications and Intelligent Agents
    • Robust Marketing MVP Development and Rapid Prototyping
    • Internal AI Tools for Marketing and Operations Teams

    Why Choose NexaMarTech for MarTech Consulting

    We sit between the marketing team and the engineering team, which is usually where MarTech projects stall.

    MarTech and engineering in one team

    The same team that maps your lifecycle workflows also writes the code behind them, so architecture decisions and implementation do not get lost in a handover.

    Vendor-neutral

    We take no reseller commissions. Platform recommendations are based on fit, total cost of ownership and exit cost.

    Data and analytics first

    Automation built on unreliable data automates the wrong thing. We fix the measurement layer before scaling workflows on top of it.

    Production engineering standards

    Typed APIs, row-level security, structured logging, cost tracking and rollback paths — the same standards as any other production system.

    Fast, evidence-led delivery

    Prototypes in weeks with a clear build-or-stop decision, so budget is committed after evidence rather than before it.

    You own everything

    Code, infrastructure accounts, documentation and runbooks are delivered to you. No dependency on us to keep the lights on.

    Why teams choose us

    AI Marketing Solutions Case Studies

    Representative engagements with the challenge, solution, technology and measured results.

    All case studies
    SaaS

    B2B SaaS platform (mid-market, ~120 staff)

    Challenge
    Inbound demo requests were triaged by hand in a shared inbox. Follow-up took over a day on average and sales had no consistent definition of a qualified lead.
    Solution
    A scoring and routing layer combining firmographic fit with an LLM classifier reading the free-text request, writing directly into the CRM with SLA-backed assignment.
    Technology
    HubSpotn8nOpenAIClearbitSlack
    Implementation
    • — Audited two years of closed-won and closed-lost records to define fit criteria
    • — Built and validated the classifier against 500 human-labelled requests
    • — Ran routing in shadow mode for two weeks before switching it live
    • — Handed over documentation and a prompt-update runbook
    Results
    • First-response time reduced from over 24 hours to under 15 minutes
    • Manual triage removed from the daily workload of two people
    • Consistent MQL definition adopted by marketing and sales

    Business impact: Sales capacity was redirected from triage to conversations, and pipeline reporting became consistent enough to plan against.

    Read the full case study
    E-commerce

    Direct-to-consumer retailer (multi-market)

    Challenge
    Ad platform numbers, GA4 and the finance report disagreed by a wide margin each month, so channel budget decisions were being argued rather than decided.
    Solution
    A warehouse-backed measurement layer with server-side collection, identity resolution and a multi-touch model, validated against geo holdout tests.
    Technology
    Server-side GTMBigQuerydbtLooker StudioMeta & Google conversion APIs
    Implementation
    • — Rebuilt the tracking plan and event taxonomy from scratch
    • — Deployed server-side collection with consent mode handling
    • — Modelled orders, costs and touchpoints in dbt with data tests
    • — Ran geo holdout tests on the two largest channels
    Results
    • Reporting reconciled with finance within a low single-digit variance
    • Two channels shown to be materially over-credited by platform reporting
    • Tracking breakage now surfaced by alerts within a day

    Business impact: Budget shifted toward channels with tested incremental effect, and the monthly reporting dispute ended.

    Read the full case study
    Professional services

    Professional services firm (regulated sector)

    Challenge
    Consultants spent significant time locating precedent documents and prior project material spread across several repositories.
    Solution
    An internal retrieval assistant over approved internal documentation, with citation of source documents and access controls mirroring existing permissions.
    Technology
    ReactSupabasepgvectorAnthropic ClaudeSSO
    Implementation
    • — Indexed approved repositories with document-level permission mapping
    • — Built a retrieval pipeline with re-ranking and mandatory citations
    • — Evaluated answers against a set of expert-written reference questions
    • — Piloted with one practice group before firm-wide rollout
    Results
    • Document retrieval time reduced from tens of minutes to seconds in pilot testing
    • Every answer traceable to a cited source document
    • Permission parity with the underlying repositories maintained

    Business impact: Billable time previously lost to internal search was recovered, and newer staff reached useful precedent without senior escalation.

    Read the full case study

    Latest Insights

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    The same checks we run at the start of an engagement — website audit, AI search, UTMs, DNS and email.

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    Ready to Modernize Your Marketing Technology?

    Tell us what your stack looks like today and what you’re trying to achieve. We’ll tell you what to change first.

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