You Are Doing It Wrong: The Marketing Automation Playbook—What to Automate vs What to Write Yourself | Blog
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You Are Doing It Wrong The Marketing Automation Playbook—What to Automate vs What to Write Yourself

Robots Do It Better: 12 Marketing Tasks to Automate Today

Most marketers treat automation like a blunt instrument or a magic wand. The smarter approach is to treat it like a personal assistant that does the boring work and leaves the craft to humans. Automate predictable, repetitive, high-volume tasks first so the team can spend time on strategy, storytelling, and the weird ideas that actually move metrics.

Start with quick, measurable wins. A tiny stack of automations delivers big time savings and immediate ROI:

  • 🚀 Onboarding: Send staged welcome sequences and product tours that adapt to user actions so new signups convert faster without manual babysitting.
  • 🤖 Segmentation: Create dynamic cohorts based on behavior and lifecycle stage so campaigns stay relevant without constant list maintenance.
  • ⚙️ Reporting: Push scheduled dashboards and anomaly alerts to Slack or email so teams act on insights instead of digging through spreadsheets.

There are at least a dozen other places to automate — cart recovery, lead scoring, ad rule sets, social scheduling, A/B rollout, event triggers, and creative templating. Prioritize by frequency, impact, and cost to build: pick 1 to 3 automations to ship in 30 days, define a single KPI, and run a short test. If it frees time and improves the metric, scale it. If it flattens performance, pull the plug and iterate.

Robots win at repetition, humans win at nuance. Use automation to multiply your craft, not replace it. Ship small, measure fast, and keep the human voice where it matters most.

Keep the Pen: Brand Voice Moments You Should Always Write Yourself

Automation is brilliant at chores: batch sends, segmentation, and nudges that keep your funnel greased. But some lines of copy deserve a human with a pen and a pulse. These are the moments where tone carries risk and reward, where a misplaced phrase can cost trust or a well chosen sentence can create a fan for life.

  • 🚀 Launches: Product debuts and feature reveals need a storyteller, not a template. Use automation for distribution, not authorship.
  • 💬 Apologies: When something breaks, craft every word by hand. Empathy cannot be automated without sounding hollow.
  • Founder: Notes, mission statements, and positioning copy are canonical. Keep the founder voice pure and intentional.

Practice a hybrid workflow. Let automation supply the facts: user name, order details, metrics. Then mandate a human pass for the emotional hooks and headline lines. Flag any message that references reputation, payments, or legal exposure for manual review and build that gate into your playbook.

For platform specific tone guides and ready to adapt templates that still require a human finalization, consult the fast Instagram marketing plan as a model. Use it to see how structure and voice live together without handing the pen to a bot.

Final checklist before you hit send: read the message aloud, verify the opening and close feel human, add a personal sign off, and run a short live test with a trusted reviewer. Automate the scaffolding, write the soul.

AI + You: A Hybrid Workflow for Emails, Ads, and Landing Pages

Think of AI as your efficient intern: it will churn options, spot patterns, and crank out iterations at dawn, but it will not understand why a line makes your brand human. Start every campaign with a compact brief that includes desired tone, audience quirks, forbidden claims, and a short brand exemplar. Feed that into a prompt template so output is consistent and easy to edit.

Automate the mechanical stuff: generate subject line variants, produce 3 to 5 headline options, spin safe personalization tokens, and run initial A/B copy permutations. Keep the craft work for people: the core narrative, the unique value arc, borderline offers, and anything that requires cultural sensitivity or legal nuance. Use AI to reduce busywork; use humans to sharpen meaning and intent.

Operationalize the hybrid process like this and keep nimble:

  • 🤖 Draft: Let the model create multiple rough versions with constraints on length and style so reviewers get useful choices.
  • 🚀 Polish: Human editors select the strongest draft and refine voice, rhythm, and CTA clarity.
  • 💁 Guardrails: Define a short checklist for compliance, brand voice, and false positives so AI never ships off brand.
After the list, run quick deliverability and spam tests on AI drafts before human edits to catch issues early.

Before send, do two small things every time: one rapid peer read for empathy and one metric hypothesis so every send teaches better prompts. Treat AI like a tireless coauthor that needs a captain. The result: faster production with fewer cringe moments and more conversions.

Personalization Without the Creeps: Triggers, Segments, and Safe Guardrails

Think of personalization like seasoning: the right pinch makes a meal sing, too much ruins it. Start by selecting a handful of precise triggers—behavioral (cart abandonment, repeat browses), time-based (renewal reminders, birthdays) and milestone-driven (first purchase anniversary). For each trigger, define the single outcome you want: nudge to buy, re-engage, or collect feedback. Keep triggers lightweight, measurable, and tied to one action.

Segments should be practical, not psychic. Build a primary performance layer (new user, active buyer, dormant 30+ days) and reserve micro-segmentation for revenue-backed tests. Pair every segment with a hypothesis, a success metric, and an exit rule: when will you stop sending this message? Monitor opens, clicks, conversion and unsubscribe velocity so you can prune noisy cohorts fast.

Safe guardrails are non-negotiable: frequency caps, a global suppression list, and strict limits on personal-data tokens. Avoid surfacing sensitive inferences in copy and provide a simple fallback when data is missing. Add transparent microcopy like "why this?" that explains personalization, and require a human review for any creative that riffs on behavior too closely—if the team feels weird about it, users will too.

Turn this into a short playbook: map key journeys, pick three high-impact triggers, run broad-segment tests, enforce caps and suppression, then scale the winners while watching conversion lift and unsubscribe trends. If a campaign boosts clicks but spikes complaints, dial it back. Personalization should feel helpful, not hunted—deliver value, respect attention, and your metrics will follow.

From Setup to Scale: A Lean Tool Stack That Stays Human

Think of your stack as a barista: machines handle the pour, humans add the latte art. Automate the repetitive choreography—data syncs, welcome flows, list hygiene—so your team can focus on voice, offers, and relationships. A simple rule: if it runs on rules and triggers, automate it; if it requires judgment, emotion, or brand voice, write it by hand.

Start minimal: an email platform with automation, a CRM that actually tracks intent, a tiny CMS for landing tweaks, and a clean analytics layer. Stitch them with lightweight integrations and a single source of truth for customer status. Keep one shared folder of approved templates and snippets so automation has good inputs, not robotic copy. Add a simple tagging discipline so lists don't fragment into chaos.

Design flows with a human-in-the-loop. Let automation handle segmentation, enrichment, and send windows; require a human to approve creative variants and the final subject line for high-value audiences. Use automation to run controlled experiments, but route edge cases to people—there's nothing more costly than an elegant flow that misreads nuance. For VIPs keep manual sends or a quick review step.

Scale by modularizing content: write micro-blocks for intros, benefits, CTAs and swap them into templates. Teach junior writers to use those blocks and enforce a short tone checklist (length, warmth, clarity, brand words) before any automated send goes live. Use lightweight approvals—fast, not bureaucratic. Automations should expose when they last ran and who approved them.

Measure time saved versus conversion delta. Track deliverability, engagement, and who's dropping out of flows; prune underperforming automations ruthlessly. Run a quarterly audit to retire ancient flows and update copy. The goal isn't maximum automation, it's maximum human attention where it matters—less busywork, more memorable moments.

Aleksandr Dolgopolov, 18 December 2025