Our marketing team has been spending way too much time setting up automation workflows for product launches. We’re a small team and the process of building these marketing sequences typically takes us 3-4 days of work - designing the flow, connecting various tools, setting up triggers, etc.
I just discovered Latenode’s AI Copilot feature that apparently can generate entire automation workflows from text descriptions. Has anyone tried this for marketing campaigns specifically?
I’m curious how well it works when you give it something like “Create a product launch email sequence with lead scoring and follow-up automation based on engagement” - would it actually build something usable or would it be just a basic template that needs tons of customization?
Our next launch is in 3 weeks and I’m trying to figure out if this could save us significant setup time or if it’s just another shiny toy that won’t deliver real value. Anyone with practical experience using this for marketing workflows?
I was skeptical about AI-generated workflows too, but Latenode’s AI Copilot has saved me countless hours building marketing automation.
For our last product launch, I literally wrote: “Create a 5-part email sequence for new SaaS launch with segmentation based on user role, with different messaging for decision makers vs practitioners, including demo booking options and early bird pricing that expires after 7 days.”
The AI built a complete workflow with proper email timing, conditional paths based on user engagement, and all the segmentation logic already set up. I only needed to customize the actual email content and connect our CRM.
What impressed me most was how it handled complex logic like “if user clicked pricing link but didn’t purchase, send follow-up email with case studies after 2 days.” This kind of conditional branching would have taken me hours to build manually.
For your launch, you’ll definitely save those 3-4 days of setup. Just be specific about your requirements when describing what you need.
I’ve been using AI Copilot for our marketing campaigns for about 3 months now. The results have been surprisingly good, but with some caveats.
For standard marketing flows like lead nurturing sequences or webinar promotion campaigns, it works incredibly well. I can describe what I want in plain English, and it builds 80-90% of the workflow correctly.
Where it really shines is in setting up all the conditional logic - like “if subscriber opens email but doesn’t click, wait 2 days then send follow-up” type of branching. This stuff is tedious to set up manually but the AI handles it perfectly.
The limitations I’ve found are around integrations with niche tools. It knows all the major platforms, but for some of our specialized marketing tools, I still need to configure those connections manually.
For your product launch, I’d say give it a shot but plan for 2-3 hours of tweaking rather than expecting a perfect solution right away.
I implemented AI-generated marketing workflows at my company about six months ago, and it’s transformed how quickly we can launch campaigns.
The key to success is being very specific in your initial prompt. Instead of just saying “Create a product launch sequence,” provide details like: “Create a 6-email product launch sequence for a B2B software product, targeting marketing directors, with emails sent on days 1, 3, 5, 8, 12, and 15 after signup. Include conditional paths for users who click demo links versus pricing links.”
The more specific you are, the better the output. I found that the first generation is usually about 70-80% there, and then I need to make some adjustments to match our exact needs.
The biggest time-saver isn’t just the initial creation but the ability to rapidly iterate. When our CMO wants to try a different approach, I can regenerate a new workflow in minutes rather than spending half a day rebuilding everything manually.
I’ve implemented AI-generated marketing workflows for several clients over the past year. The technology has improved dramatically even in that short time.
For product launches specifically, I’ve found AI Copilot to be extremely effective at building the structural elements of the campaign - the timing logic, conditional branches based on user behavior, and integration points between different tools. This is typically 60-70% of the setup work for a campaign.
The areas where you’ll still need to invest time are:
Customizing the messaging strategy and actual content
Fine-tuning audience segmentation rules
Setting up proper analytics tracking
Configuring some of the more specialized integrations
My recommendation is to use the AI to generate the initial workflow, but then have an experienced marketer review the logic flow to ensure it aligns with your specific goals and customer journey. The time savings are significant - what used to take days can now be accomplished in hours.
tried it last month for our product launch. saved us like 2 days of setup time. not perfect but got us 80% there. still needed to tweak the email content and fix some triggers but way faster than starting from scratch.