Playbooks • 30-Day Implementation
Shopify AI Automation Starter Playbook
A practical 30-day roadmap to ship your first 10 automations across operations, marketing, and support — without a dev team. We’ll set rails with Shopify Flow, add AI where it creates leverage, and measure outcomes weekly so you scale what works.
+10–20% Repeat Rate
from lifecycle flows in 60 days
from lifecycle flows in 60 days
–25–40% Ticket Volume
via education + macros + routing
via education + macros + routing
5–8 hrs Saved / Week
by removing busywork across teams
by removing busywork across teams
Why “Rails First, AI Second” Wins
AI is leverage, not a replacement for structure. Use deterministic rails (events, filters, tags) for safety, then let AI draft copy, summaries, or suggestions inside those rails. This keeps output reliable and measurable.
- Shopify Flow: Triggers, filters, idempotent actions
- ESP (Klaviyo/Omnisend): Messaging flows & splits
- Helpdesk (Gorgias): Macros, intents, escalations
- AI: Drafts blocks, summarises tickets, suggests next best action
Principle: If a step could cost money or reputation when wrong, require human approval the first week.
Week 1 — Make Events & Data Trustworthy
- Verify carrier “delivered” events; emit a custom event if your app lacks it.
- Create product metafields:
care_level,materials,compatibility_group. - Tag orders:
FIRST_TIMEvsREPEAT; tag VIP by AOV/LTV thresholds. - Set up a Slack #automation-log and log every run outcome (inputs, success/fail, timing).
Flow blueprint
Trigger: Order placed
Actions:
- Tag customer cohort (first vs repeat)
- Push event to ESP with order JSON
- Write Admin note: RUN_ID + step status
- Slack log: { run_id, trigger, cohort, time_ms }
Week 2 — Ship the Non-Negotiables
Lifecycle (ESP)
- Delivered → D+1 education (care/usage/FAQ)
- D+7 review/UGC with photo prompt (pause if open ticket)
- D+14 second-order bundle based on
compatibility_group
Helpdesk (Gorgias)
- Macros for top 10 questions
- Intent routing (shipping / returns / product / billing)
- VIP escalation rule
Quiet-period guardrail (ESP)
Max 1 marketing email per 24h per profile. Pause promos if ticket is open. High AOV/VIP → manual review on offer emails.
Week 3 — Add AI Where It Compounds
Keep inputs structured; force JSON output. Approve in Slack until accuracy is ≥ 95%.
Inputs
- Product JSON: title, benefits, care_level, materials
- Cohort: first/repeat/VIP, last order date
- Top FAQs and objections
- Brand tone rules (3 short examples)
Outputs
- Email blocks (headline, paragraph, bullets, CTA)
- Ticket summaries + suggested macro
- Abandoned-checkout copy variants (20% test cell)
Prompt (email block draft)
Write a 140–180 word section in a calm, premium voice.
Mention 2–3 concrete benefits and 1 care tip.
Return JSON: {"headline":"","paragraphs":["",""],"bullets":["",""]}
Slack approval payload
{"run_id":"abc123","action":"approve","editor":"@ops","notes":""}
Week 4 — Reporting & Scale
- Weekly KPI digest to Slack: revenue, AOV, MER, ROAS, movers, exceptions (+ AI commentary).
- Alert if JSON validation fails or retries exceed threshold.
- Promote winning abandoned-checkout variant to 100% if ≥ +5% lift.
Dashboard
Repeat %, UGC rate, ticket deflection
Repeat %, UGC rate, ticket deflection
Quality
JSON errors < 0.5%, approval time < 10 min
JSON errors < 0.5%, approval time < 10 min
Scale
Ship 1 new automation / week
Ship 1 new automation / week
Top 10 Automations to Launch First
- Delivered → D+1 education (per care_level)
- D+7 review/UGC (skip if open ticket)
- D+14 second-order bundle (compatibility group)
- Abandoned checkout AI variant (20% cell)
- Low-stock campaign block draft
- OOS waitlist block + nearest alternatives
- Weekly KPI digest → Slack with commentary
- Ticket summary + intent routing
- VIP unlocked → concierge macro
- Refund spike alert → investigation template
Rule of thumb: If it happens every week, automate it. If it’s risky when wrong, add an approval button.
Troubleshooting
- Flows not triggering: Carrier app doesn’t emit delivered → create custom event.
- AI drafts off-brand: Provide 3 brand examples + enforce JSON schema.
- Over-sending: Enforce quiet period and pause on open tickets.
- No measurable lift: Log variant cells and promote winners only.