Marketing tasks worth automating. Ten to start with, and the order that works.

Why this matters. The maths behind automating the right ten.

Marketing tasks to automate is the wrong question to start with if the answer is simply "as many as possible". HubSpot's 2026 State of Marketing report found that 47% of marketers already use automation to make marketing processes more efficient, and that the heaviest use sits in administrative work, 93% report automating scheduling, note-taking and documentation, rather than in judgement calls like which lead gets a personal outreach from a sales rep. That split matters: a founder-led team with a CRM that holds data but does not do the work is usually one honest audit away from finding five or six genuinely automatable tasks, not fifty. Our CRM automation work starts from exactly that audit, because automating the wrong task early tends to erode trust in the whole system faster than doing nothing would have.

A task qualifies for this list when it has both pieces: a trigger the CRM can detect on its own, a form fill, a date, a score crossing a number, and an action that does not vary by who receives it. A task with a clear trigger but a response that should vary by situation, an enterprise prospect getting a different next step than a self-serve signup, is a partial automation at best: the trigger can still fire, but the CRM should route to a person rather than sending a fixed message.

The list, with how to apply each. Ten tasks, and the trigger that starts each one.

1. Lead scoring. Trigger: a new form fill or a behaviour signal such as repeat pricing-page visits. Action: automatically weight and route the lead by fit and engagement, rather than a rep manually reviewing every new contact.
2. Welcome email sequences. Trigger: a new opt-in or signup. Action: a timed series that runs without anyone remembering to send the next email.
3. List segmentation. Trigger: a data field changing, industry, deal stage, engagement level. Action: automatically move the contact into the matching list rather than relying on a manual export.
4. Abandoned enquiry follow-up. Trigger: a form started but not finished, or a quote requested but never booked. Action: an automatic, low-pressure nudge after a set delay.
5. Review requests. Trigger: a closed-won deal or a completed engagement. Action: a timed request for a public review, sent while the experience is still fresh.
6. Event and webinar follow-up. Trigger: attendance or a no-show. Action: a tailored follow-up email specific to which of the two happened.
7. Internal lead handoff to sales. Trigger: a lead score crossing an agreed threshold. Action: automatic notification to the right rep, with context attached rather than a bare name and email address.
8. Re-engagement of cold contacts. Trigger: no recorded activity for a set period. Action: a scheduled win-back sequence rather than a marketer remembering to check the list.
9. Reporting roll-ups. Trigger: end of week or month. Action: an auto-compiled dashboard rather than a manually rebuilt spreadsheet every reporting cycle.
10. Social and content scheduling. Trigger: a content calendar entry. Action: automatic publishing at the set time, freeing the marketer from being online at the exact posting slot.

Sequence matters as much as the list itself. Start with the lowest-risk, most mechanical items, reporting roll-ups and content scheduling, since neither touches a customer directly and a wrong trigger just means a report looks odd for a week, not a wrong message landing in someone's inbox. Move next to lead scoring and list segmentation, which shape internal routing rather than anything a contact sees. Welcome sequences and the sales handoff come third, since these are customer-facing but run on well-understood triggers, a signup, a score threshold, that are easy to test before switching on. Save abandoned-enquiry follow-up and cold-contact re-engagement for last: both depend on a CRM field, time since last activity, form started but not finished, being genuinely accurate, and both are customer-facing enough that a wrong trigger reads as careless rather than merely inefficient. Teams that automate in the reverse order, customer-facing sequences first, before the data feeding them has been checked, are the ones most likely to end up in the mistake below.

Where teams go wrong. The automation mistakes that cost more than they save.

I worked with a SaaS founder whose team had automated a re-engagement sequence for "cold" contacts before fixing what counted as cold in their CRM. The field driving the automation, days since last activity, was not being updated by half their integrations, so the sequence fired against contacts who had, in fact, replied to an email the week before, through a channel the automation was not tracking. The fix was not more automation, it was tightening the trigger's data source first. That is the pattern I see most: teams reach for automation to solve a process problem that is actually a data problem, and the automation just makes the mistake happen faster and to more people.

• Automating tasks that need a judgement call, rather than leaving those to a person who can read the specific situation.
• Layering several automations that can fire on the same contact at once without checking whether their triggers overlap.
• Automating before data hygiene is fixed, so a stale or wrongly updated field quietly drives the wrong action.
• Setting and forgetting: building a sequence once and never reviewing how it actually performs months later.

Automate the six or seven tasks with a clean trigger and a repeatable action, and leave outreach that needs a human judgement call to a person. Our guide to sales tasks worth automating covers the parallel list on the sales side, and what CRM automation actually is is a good next stop if the CRM itself needs the audit first.