How to launch an email marketing campaign on Starch

Marketing & Growth13 roles covered3 Starch apps

Launching an email marketing campaign means taking a list of contacts, writing something worth reading, sending it at the right time, and knowing whether it worked. That sounds simple. In practice it involves stitching together your contact data, your email platform, whatever you know about your audience's behavior, and some kind of feedback loop — and most operators are doing at least one of those four things manually, slowly, or not at all. What this looks like in practice varies a lot depending on what you sell, how you segment, and which tools you already have. A promotional blast to a Shopify customer list looks nothing like a nurture sequence for enterprise leads coming out of HubSpot. The hub stays general for a reason: the spokes below go into detail for specific contexts. On Starch, the end state looks like this: your contact list is current and segmented from a live source — your CRM, your email platform, or both — your draft is ready with the right personalization fields already pulled, and after send you have a plain-English summary of what performed and what to try differently next time. No manual CSV exports. No digging through Mailchimp dashboards to figure out what the open rate actually means. The answer is already in your inbox.

Marketing & Growth13 roles covered3 Starch apps
Context

Why it matters

Why this is hard today

Email is still one of the highest-ROI marketing channels most operators have — and also one of the easiest to burn. Sending to a stale list tanks your deliverability. Sending without segmentation wastes the list you worked to build. Skipping the post-send analysis means you repeat the same mistakes. Done well, a single well-timed campaign can reactivate dormant customers, close pipeline that stalled, or move a product. Done poorly, it just trains people to unsubscribe.

Watch out for

Common pitfalls

Where this usually goes wrong

Sending to your entire list instead of a slice you can write something true for — broad audiences produce mediocre copy. Using contact data that hasn't been touched since the last import, so you're addressing people by the wrong company or stage. Writing the email before deciding what action you actually want the reader to take, which produces emails that inform without converting. And skipping the post-send read — open rate and click rate tell you almost nothing on their own; what matters is who clicked and whether they did anything after.

Toolkit

Starch apps used

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