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The Tech Stack: Tools of the Modern Marketer

Conversation marketing isn’t just a mindset — it’s a system.

To deliver real-time, personalised, omni-channel conversations, you need more than creative thinking. You need a tech stack that connects channels, automates intelligently, tracks interactions, and scales without losing the human touch.

This chapter outlines the essential layers of the modern conversation marketing stack — and how to choose tools that align with your goals, size, and stage.


The Stack, Simplified

You can think of your tech stack in five connected layers:

  1. Engagement Channels – where conversations happen
  2. Orchestration Layer – manages flow and logic
  3. Content Layer – delivers messages and media
  4. Data Layer – tracks behaviour and context
  5. AI Layer – enhances personalisation and automation

Let’s unpack each.


1. Engagement Channels

These are the touchpoints where conversations happen — think chat, email, messaging apps, voice assistants, or even in-product modals.

Channel Example Tools
Live Chat / Website Chat Intercom, Drift, Tidio
Messaging Apps WhatsApp Business, Messenger API
Social DMs Sprout Social, Hootsuite Inbox
Voice Alexa Skills, Google Assistant
In-App OneSignal, Appcues

2. Orchestration Layer

This is your conversation engine — the logic layer that decides what happens next based on customer inputs, context, or AI triggers.

Tool Purpose
Landbot, Voiceflow No-code flow builders for bots and voice UX
Dialogflow, Botpress NLP-driven conversation engines
Salesforce Marketing Cloud Multi-step journey automation
Zapier, Make (Integromat) Connect tools and trigger workflows

3. Content Layer

Here’s where your conversation-ready content lives: the copy, assets, templates, and dynamic responses.

Tool / Platform Purpose
Notion, Airtable Manage message blocks, FAQs, scripts
CMSs like Contentful Structure reusable content for delivery
ChatGPT / Claude Assist with copywriting and response variation

Store it once, deliver it dynamically based on audience and intent.


4. Data Layer

This is the intelligence behind the interaction. It includes everything from user profiles and purchase history to behavioural insights and event triggers.

Source Value Provided
CRM (e.g. HubSpot) Contact data, lifecycle stage
Analytics (GA4, Amplitude) Real-time behaviour, funnels
CDPs (Segment, mParticle) Unified customer profiles across channels
Surveys & Feedback Preferences, satisfaction, sentiment

Connect data to context — this is what makes conversations feel personal.


5. AI Layer

This is what elevates your stack from responsive to intelligent.

AI Capability Example Tools / APIs
Natural Language Understanding OpenAI, Cohere, Microsoft Azure AI
Personalisation / Prediction Adobe Sensei, Dynamic Yield
Sentiment Analysis MonkeyLearn, IBM Watson, Lexalytics
Generative AI for Copy ChatGPT, Jasper, Writer

You don’t need everything at once — start with tools that enhance one layer and grow from there.


Real-World Example: Domino’s Pizza

Domino’s uses an integrated tech stack to let customers order via chatbot, track orders in real time, get follow-up notifications, and access support across channels. It’s not about flashy AI — it’s about frictionless, connected service.


Integration Is Everything

A brilliant chatbot with no access to your CRM is a dead end. A great piece of content that can’t be triggered by behaviour is wasted.

The goal is not more tools — it’s smarter connections.

Look for platforms with:

  • Open APIs and webhooks
  • Native integrations with your current stack
  • Unified dashboards or data sync
  • Scalable pricing and modular add-ons

What This Chapter Really Means

Tech won’t replace strategy — but without the right stack, strategy stays stuck in slides. The modern marketer’s edge comes from aligning tools with intent, data with dialogue, and content with context.

“The best tech stack isn’t the biggest — it’s the one that works together.”
Jonny Bowker


Next: Launching Your Conversational Engine