AI Tools for Marketing Automation
Marketing automation connects the tools in your stack so leads move through your funnel without manual intervention. The best automations are invisible — they just make the right thing happen at the right time.
How teams typically do this
Best AI tools to automate marketing workflows
The most complete marketing automation platform for mid-market companies. Workflows, email, lead scoring, and reporting in one system. AI features for content, email, and attribution are now genuinely useful.
The best value marketing automation for small to mid-size businesses. Sophisticated automation builder, excellent email deliverability, and an accessible learning curve.
The connective layer for teams using multiple specialised tools. When you need HubSpot to talk to Calendly to talk to Slack, Zapier is the glue — and AI-assisted workflow building has made it faster to set up.
Prompts to get started
Map out the full nurture flow for a new lead from first opt-in to sales-ready, including emails, timing, and branching logic.
Help me design a lead nurture email sequence. Product/service: [describe] Lead source: [how did they opt in? e.g. content download, webinar, free trial] Typical sales cycle length: [e.g. 2 weeks, 3 months] Goal of the sequence: [e.g. get them to book a demo, upgrade from free, purchase] Please design: 1. Sequence overview: how many emails, over what timeframe 2. For each email: send timing, subject line, goal, and key message 3. Branching logic: what happens if they click vs don't engage? 4. The exit criteria: when does a lead graduate to sales-ready? 5. 2–3 segments I should consider treating differently
Document what happens lead to customer — find gaps before automating.
Map and document our marketing funnel. Business: [describe] Lead sources: [organic / paid / referral / events] Tools: [CRM, email, ad platforms, analytics] What happens at each stage: - Awareness: [how people find you] - Consideration: [what they do next] - Decision: [what triggers conversion] - Retention: [what happens post-customer] Please: 1. Document the funnel with conversion rates (I'll fill in numbers) 2. Identify biggest leakage points 3. Map which tools handle each stage 4. Highlight manual handoffs between tools 5. Prioritise 3 automations with biggest conversion impact
Score leads automatically so sales focuses on the right ones.
Design a lead scoring model. What we sell: [describe] ICP: [firmographics and persona] Data we have: [fields collected — title, company size, pages visited, emails opened, content downloaded] CRM/marketing tool: [what will implement scoring] Please design: 1. Demographic fit scoring (firmographic attributes) 2. Behavioural scoring (actions and their point values) 3. Negative scoring (signals that reduce score) 4. MQL threshold: at what score is a lead marketing-qualified? 5. Score decay: how should scores decrease if a lead goes inactive?
Get full copy for each email — not just structure.
Write email copy for a drip sequence. Purpose: [nurture new leads / onboard trial users / re-engage lapsed] Audience: [describe] Goal: [what should they do by the end?] Emails: [how many] Timing: [days between each] For each email: 1. Subject line + one A/B variant 2. Preview text (under 100 chars) 3. Full body (appropriate length) 4. One specific, action-oriented CTA 5. Note on this email's goal in the sequence
Map out the full nurture flow for a new lead from first opt-in to sales-ready, including emails, timing, and branching logic.
Help me design a lead nurture email sequence. Product/service: [describe] Lead source: [how did they opt in? e.g. content download, webinar, free trial] Typical sales cycle length: [e.g. 2 weeks, 3 months] Goal of the sequence: [e.g. get them to book a demo, upgrade from free, purchase] Please design: 1. Sequence overview: how many emails, over what timeframe 2. For each email: send timing, subject line, goal, and key message 3. Branching logic: what happens if they click vs don't engage? 4. The exit criteria: when does a lead graduate to sales-ready? 5. 2–3 segments I should consider treating differently
Document what happens lead to customer — find gaps before automating.
Map and document our marketing funnel. Business: [describe] Lead sources: [organic / paid / referral / events] Tools: [CRM, email, ad platforms, analytics] What happens at each stage: - Awareness: [how people find you] - Consideration: [what they do next] - Decision: [what triggers conversion] - Retention: [what happens post-customer] Please: 1. Document the funnel with conversion rates (I'll fill in numbers) 2. Identify biggest leakage points 3. Map which tools handle each stage 4. Highlight manual handoffs between tools 5. Prioritise 3 automations with biggest conversion impact
Score leads automatically so sales focuses on the right ones.
Design a lead scoring model. What we sell: [describe] ICP: [firmographics and persona] Data we have: [fields collected — title, company size, pages visited, emails opened, content downloaded] CRM/marketing tool: [what will implement scoring] Please design: 1. Demographic fit scoring (firmographic attributes) 2. Behavioural scoring (actions and their point values) 3. Negative scoring (signals that reduce score) 4. MQL threshold: at what score is a lead marketing-qualified? 5. Score decay: how should scores decrease if a lead goes inactive?
Get full copy for each email — not just structure.
Write email copy for a drip sequence. Purpose: [nurture new leads / onboard trial users / re-engage lapsed] Audience: [describe] Goal: [what should they do by the end?] Emails: [how many] Timing: [days between each] For each email: 1. Subject line + one A/B variant 2. Preview text (under 100 chars) 3. Full body (appropriate length) 4. One specific, action-oriented CTA 5. Note on this email's goal in the sequence