AI-Powered Marketing Content & Campaign Optimisation
Deploy AI to generate marketing content at scale, personalise campaigns, and optimise ad spend — increasing marketing ROI by 30-50%.
Transformation
Before & After AI
What this workflow looks like before and after transformation
Before
Marketing teams spend 40-60% of time creating content: writing copy, designing assets, building email campaigns. Content production is the bottleneck — the team can produce 10-20 pieces per week. Campaign personalisation is limited to basic segments. Ad optimisation relies on manual bid adjustments and A/B testing.
After
AI generates first-draft content (copy, images, subject lines) in minutes, with marketers refining and approving. Content velocity increases 5-10x. Campaigns are personalised at the individual level using AI-driven segmentation. Ad spend is optimised in real-time by AI, improving ROAS by 30-50%.
Implementation
Step-by-Step Guide
Follow these steps to implement this AI workflow
Build Brand AI Guidelines
1 weekDocument your brand voice, tone, messaging pillars, and visual identity in a format AI can use. Create example content for each channel and format. Build a "brand guardrails" checklist for AI-generated content review. This ensures AI output stays on-brand.
Deploy AI Content Generation
2 weeksSet up AI tools for each content type: long-form content (blog, whitepapers), short-form (social, ads, email), and visual assets. Configure with your brand guidelines. Train team on prompting for each content type. Establish review workflows.
Implement Personalisation
3 weeksConnect customer data (CRM, behavioural, transactional) to your marketing platform. Build AI-driven segments that go beyond demographics to include behaviour, intent, and lifecycle stage. Create personalised content variants for each segment. Set up dynamic content in emails and web.
Automate Campaign Optimisation
3 weeksDeploy AI for: ad bid optimisation, audience targeting, send-time optimisation for email, and budget allocation across channels. Set up automated A/B testing that AI manages end-to-end. Build performance dashboards with AI-generated insights and recommendations.
Measure & Scale
OngoingTrack: content production velocity, engagement metrics, conversion rates, CAC, and marketing ROI by channel. Compare AI-optimised campaigns vs. manual. Scale AI to additional channels and content types. Build a content library of AI-approved templates and prompts.
Tools Required
Expected Outcomes
Increase content production velocity by 5-10x
Improve email open rates by 15-25% through personalisation
Increase ad ROAS by 30-50% through AI optimisation
Reduce cost per lead by 20-35%
Free marketing team from production bottleneck to focus on strategy
Solutions
Related Pertama Partners Solutions
Services that can help you implement this workflow
Frequently Asked Questions
With proper setup, yes. The key is providing AI with clear brand guidelines, tone examples, and approved/rejected content samples. Most teams find that AI captures 80-90% of their brand voice, with human editors refining the final 10-20%. This is much faster than writing from scratch and produces more consistent output than a large writing team.
AI-generated content ranks well when it provides genuine value. Use AI for research synthesis, structure, and first drafts, then add original insights, expert quotes, and unique data. Avoid mass-producing thin, generic content — search engines can detect this. Quality over quantity, with AI accelerating the quality content production process.
Ready to Implement This Workflow?
Our team can help you go from guide to production — with hands-on implementation support.