Automationhigh impact

17 Manual Marketing Tasks You Can Hand Off to Automation, Per WordStream

By InnovaAI Research1 min read

A July 28, 2026 WordStream guide identifies 17 marketing tasks that agencies are still running manually but no longer need to. Combined with recurring CRM data-model breakdowns, the case for structured automation across both execution and data management has never been clearer.

Key Facts

01WordStream identified 17 specific marketing tasks still being run manually as of July 28, 2026.
02Manual execution introduces data inconsistency that corrupts CRM pipeline reporting.
03CRM data-model misalignment between marketing and sales undermines any automation built on top of it.
04Auditing task volume by weekly hours helps agencies prioritize which automations to implement first.
05A quarterly automation review prevents coverage gaps as tools and client needs evolve.

Why does this matter for agencies?

▶17 manual tasks represent a quantified, auditable inefficiency that agencies can act on immediately.
▶CRM definition mismatches cause pipeline numbers to break after go-live, making automated reporting unreliable.
▶Time recovered from manual execution is directly rebillable or redirectable to higher-value strategy work.
▶Skipping the data-model audit step before building automation produces misleading outputs, not efficiency gains.

What should agencies do?

Use the WordStream 17-task checklist to identify which tasks your team still runs manually, then estimate weekly hours spent on each to build a prioritized automation roadmap.

low effort

Audit your CRM data model by documenting agreed definitions for every stage and status field, and get sign-off from both media and account management teams before configuring any automation workflows.

medium effort

Automate recurring reporting as the first implementation step, starting with whatever pipeline or campaign performance report your team produces most frequently.

medium effort

Block a 60-minute quarterly automation review to evaluate which remaining manual tasks are now candidates for automation given current tool capabilities.

low effort