Cloud Solutions
SpaGreen Creative is a senior AI marketing tools development company that has shipped LLM-powered campaign engines, lead-scoring systems and personalisation layers for 8,200+ clients across 110+ countries — 350+ products in total. We build custom AI marketing software that goes beyond ChatGPT wrappers: real RAG, real predictive models, real lift on pipeline and revenue.
Our AI marketing automation services combine OpenAI, Anthropic Claude, vector search, predictive analytics and first-party data orchestration. Whether you need a campaign content engine, an AI lead scorer that beats your sales team's gut feel, or a full marketing-AI platform that plugs into HubSpot, Klaviyo and Segment — you get senior AI engineers and growth marketers, never juniors copy-pasting prompts.
Every engagement starts with a fixed-price data & use-case audit, a written evaluation plan and a model-cost forecast. No hallucinated demos, no prompt-engineering theatre, no surprise OpenAI bills.
Common marketing AI problems we solve
Most marketing teams aren't blocked by AI hype — they're blocked by messy data and disconnected tools. Here's what we typically inherit and how we unblock it inside the first 30 days:
- “Our personalisation is just first-name tokens.” We build behaviour- and intent-based segments fed by a real CDP, then ship LLM-personalised subject lines, on-site copy and ads that lift CTR 20–60%.
- “Lead scoring is a gut-feel spreadsheet.” We train a predictive lead score on your closed-won/closed-lost history, sync it to HubSpot/Salesforce and prove uplift in MQL-to-SQL conversion within 60 days.
- “Our content team is bottlenecked.” We build a brand-aware content engine (RAG over your style guide + product docs) that drafts emails, ads and landing copy your team can edit instead of write.
- “Predictive churn flags 50% false positives.” We rebuild the model on cleaner features, calibrate thresholds and add an explainability layer so CS knows why a customer is flagged.
- “Marketing data lives in 6 disconnected tools.” We unify HubSpot, Segment, Klaviyo, GA4 and your warehouse with dbt, then expose a single source of truth to every AI workflow.
What you get with our AI marketing tools
Every AI marketing engagement is built on an evaluation-first, cost-aware methodology refined across hundreds of LLM and ML shipments. You get the rigour of an ML team with the speed of a growth-marketing partner:
- LLM-powered campaign & content generation (OpenAI, Claude)
- Predictive lead scoring & account-tier ranking
- RAG knowledge bases over docs, transcripts & product data
- 1:1 personalisation (subject lines, on-site copy, ads, push)
- AI-powered customer segmentation & lookalike modelling
- Churn & expansion prediction with explainability layer
- Marketing-mix modelling & multi-touch attribution
- Content-ops automation (briefs, drafts, repurposing, QA)
- Native integrations with HubSpot, Salesforce, Klaviyo, Segment
- Cost guardrails, prompt evals & A/B testing harness
Our 4-step AI marketing process
A predictable, evaluation-first process that turns vague "we should use AI" ambitions into measurable pipeline lift. Every sprint ends with a working demo, an eval scorecard and a written cost & impact report you can forward to your CMO:
step 01
Discovery & Data Audit (Week 1–2)
NDA-protected workshops, marketing-stack audit, data quality assessment, use-case prioritisation, KPI tree, model-cost forecast and a fixed-price proposal you can lock in.
step 02
Model & Prompt Design (Week 3–6)
Predictive model training, prompt engineering, RAG pipelines, evaluation harness with golden datasets, brand-voice tuning and offline accuracy benchmarks.
step 03
Integration & UI (Week 7–10)
HubSpot/Salesforce/Klaviyo/Segment integrations, marketer-friendly UI, human-in-the-loop controls, cost guardrails and A/B testing infrastructure shipped behind feature flags.
step 04
Launch & Tune (Ongoing)
Live A/B tests, prompt regression suite, model drift monitoring, monthly lift reports and a retainer that keeps cost-per-output dropping while quality keeps rising.
Turn first-party data into compounding pipeline.
Talk to a senior AI marketing engineer on WhatsApp. We'll scope a campaign engine, lead scorer or personalisation platform within 24 hours.
- AI marketing tools from $6,500
- Full platforms from $14,000
- Evaluation-first methodology
- HubSpot, Klaviyo, Segment native
Trusted by 8,200+ businesses · 110+ countries · NDA on request · Free quote in 24h
Tech stack we use for AI marketing tools
We use a focused, cost-aware AI stack so your tools stay reliable, measurable and affordable as you scale:
- LLM providers: OpenAI, Anthropic Claude, Google Gemini, Mistral, Llama
- Orchestration & RAG: LangChain, LlamaIndex, Pinecone, pgvector, Weaviate
- Data & CDP: Segment, RudderStack, dbt, Snowflake, BigQuery
- Marketing platforms: HubSpot, Salesforce, Klaviyo, Customer.io, Iterable
- Automation & workflows: n8n, Make, Zapier, Inngest, Temporal
- Evals & observability: Langfuse, Helicone, Braintrust, PostHog, Mixpanel
Questions about AI marketing tools
Focused AI marketing tools (a campaign content engine, a predictive lead scorer or a personalisation API) start at $6,500. Full marketing-AI platforms with multi-channel orchestration, evaluation harness and human-in-the-loop UI start at $14,000. Dedicated AI marketing engineers are billed monthly from $5,500. Every quote includes a model-cost forecast — no surprise OpenAI bills.
A focused tool (one workflow, one channel) typically ships in 4 to 6 weeks. A full marketing-AI platform with predictive models, RAG content engine and CRM integration usually lands in 10 to 14 weeks. We lock the timeline in a 1–2 week discovery before any model training or prompt engineering begins.
Traditional marketing automation (HubSpot, Marketo, Klaviyo) runs rule-based workflows — if X then send Y. AI marketing tools add a probabilistic layer on top: predictive scoring decides who to target, LLMs draft what to say, and RAG grounds the content in your brand voice and product. The two are complementary — we plug AI tools into your existing automation rather than replace it.
We build custom LLM tools — prompt-engineered, RAG-grounded, evaluation-tested and cost-controlled. We use OpenAI, Anthropic Claude, Gemini, Mistral and open-weight models like Llama depending on your data sensitivity, latency and budget. Every tool ships with a golden-dataset eval harness so you can catch regressions before customers do.
Yes. Native integrations with HubSpot, Salesforce, Klaviyo, Customer.io, Iterable and Segment are standard. We sync predictive scores, AI-generated content and segmentation back into your existing tools so your marketers work where they already live.
We use a layered approach: smaller models for cheap calls, larger models for high-stakes outputs, prompt caching, semantic caching, response-length limits and per-tenant budgets. Hallucinations are controlled with RAG grounding, structured outputs (JSON schema), citation requirements and a golden-dataset eval suite that runs on every prompt change.
Yes. We train predictive lead scoring, churn and expansion models on your closed-won/lost and product-usage data, calibrate thresholds against business outcomes and add an explainability layer (SHAP or feature attributions) so sales and CS understand the 'why' behind every score.
Yes. We respect zero-retention agreements with OpenAI and Anthropic, run sensitive workloads on self-hosted or VPC-deployed open models when required, and deliver GDPR-friendly data export/erasure flows. PII is redacted before prompts where appropriate and audit-logged end-to-end.
SaaS Development
Multi-tenant SaaS platforms that turn your AI marketing tooling into a sellable product.
Ecommerce Solutions
Shopify, WooCommerce and headless builds where AI personalisation and predictive merchandising actually move revenue.
AI Automation
Agent-based workflows that run nightly campaigns, sync CRMs and trigger plays without human intervention.
API Development & Integration
REST and GraphQL APIs that connect HubSpot, Klaviyo, Segment and your warehouse to every AI workflow.
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