Est. reading time: 5 minutes
The usual way brands handle audience differences in Mailchimp is cloning. One campaign becomes three, one for prospects, one for trials, one for VIPs, each hand-edited, each drifting slightly out of sync by the third send, and the production time tripling while the calendar stays the same size. Dynamic content blocks exist to end that. One campaign carries multiple experiences, with sections that appear only to the contacts who match their rules, so the email reads hand-built to each recipient and ships once.
Mailchimp gives you two routes to the same result. In the current builder, any block can have Dynamic content toggled on, with visibility rules set by segment and no code involved. In the classic builder or custom HTML templates, conditional merge tags wrap the block and control what renders, which is more work and more surgical, worth it for complex logic and legacy templates. Either way, the useful mental model is editorial layering. Hero, offer, proof, and CTA each become a slot that can morph by lifecycle stage, plan tier, location, or purchase history, and the strategy stops being more email and becomes one send doing the work of a portfolio.
The data foundation decides whether this works
Dynamic content is only as reliable as the conditions underneath it, and the conditions are only as reliable as the data they read. Start with an audit. One primary audience rather than a sprawl of parallel lists, contacts deduplicated, and formatting standardized for the attributes your logic will lean on, names, locations, plan tiers, lifecycle stages. Set default values on every merge field a block might reference, because an empty field without a fallback is how a personalized email greets someone with a blank.
Then use each data structure for what it’s for. Tags are stackable, flexible labels, ideal for campaign logic and temporary cohorts like “Webinar-APR” or “VIP.” Merge fields hold structured attributes, plan, location, last purchase date, and power both personalization and conditions, with the field type chosen deliberately, since date logic against a text field is a bug waiting for a send. Segments are where strategy lives, and they should mirror it rather than curiosity, meaning a small set of reusable, documented definitions like “Active Trials,” “Pro Plan Customers,” and “Dormant 90+ Days,” with naming conventions the whole team can read. The groups-versus-segments-versus-tags distinctions trip up more builds than the blocks themselves do, and we untangled them in when to use groups vs segments in Mailchimp. If your contact records are missing the attributes your logic needs in the first place, enrichment is its own project, one we’ve automated before with Make.com for contact enrichment.
Building the conditional blocks
In the current builder, the workflow is short. Select or create a block, enable Dynamic content, choose to show it to selected recipients, and attach either a saved segment or conditions built on the spot, tag is VIP, plan equals Pro, location is US. Then duplicate the block and write each audience’s version, adjusting the copy, imagery, offer, and destination URL per slice. The discipline that separates good builds from messy ones is coverage. Every recipient should match exactly one version of each dynamic slot, because a contact matching none gets a hole in the email, and a contact matching two gets a redundant one.
In classic templates, conditional merge tags do the same job in markup, wrapping each variant so only matching contacts render it, a premium upgrade pitch for Pro users, a conversion nudge for trials. Conditions can nest personalization inside them, different headlines, different CTAs, different URLs, so each segment’s path through the email is unmistakable. Whichever builder you’re in, template once and reuse forever. Save blocks with their logic as reusable sections, keep field names and segment definitions consistent across campaigns, and every future send inherits the audience intelligence you already built instead of reconstructing it. That reuse discipline is also what makes repurposing one email into a week of content practical rather than aspirational.
Test every path, because every path is a different email
A dynamic campaign isn’t one email to proof, it’s several sharing a template, and each needs verification. Use preview-as-recipient to step through real contacts from each segment, confirming every block shows and hides exactly as intended, and pay particular attention to the empty-field paths, where your defaults and fallback copy have to read naturally rather than like a mail merge with stage fright.
Then test outside the preview pane, since previews and live rendering diverge. Send yourself each major segment’s version, seed teammates across devices and dark mode, click every CTA, and verify the conditional URLs actually route where each audience should land. Campaigns spanning languages or currencies need the formatting validated per variant inside the same send. It’s more QA than a normal campaign precisely because it’s more campaign than a normal campaign, and the failure mode, the wrong offer shown to the wrong tier, is the kind subscribers screenshot.
After launch, read results by segment rather than in aggregate, filtering reports to see which blocks earned clicks and conversions from whom. Retire the variants that underperform, extend the winners, and feed what you learn back into the tags, fields, and segment definitions, because the compounding here comes from the loop, each campaign sharpening the audience model the next campaign runs on. Meanwhile keep the boring infrastructure honest, since none of this relevance work survives list settings that quietly hurt your deliverability. Built on clean data, a small set of documented segments, and blocks that get real QA, dynamic content turns the question “which audience should get this email” into the wrong question. They all should, and now they each get their own.
