The capstone project

This module is different. There is no new theory. Everything you need you have learned in modules MV01 to MV09. Here you apply it. You will plan, create, execute and measure a complete marketing campaign using AI at every step.

The goal is not to create a perfect campaign on paper. It is to create a real campaign that you publish, distribute and measure. The only way to learn marketing is by doing marketing. AI accelerates every phase, but the real execution is yours.

The campaign can be for your company, your personal project, a client or a fictional case (though results will be more valuable if it is real). The format is flexible, but the structure is mandatory: all 4 phases must be present.

Phase 1: Strategy and planning

Before creating content, you need a strategic brief. Without a brief, any content is a shot in the dark. With a brief, every piece has a measurable purpose.

Campaign brief

Your brief must answer these questions:

• Objective: what do you want to achieve? (leads, demos, registrations, sales, awareness). A concrete number: "50 qualified leads in 30 days".
• Audience: who is your ICP? Title, industry, company size, pain points. Use the MV06 framework.
• Value proposition: why should your audience pay attention? What problem do you solve that others do not?
• Channels: where will you distribute? (blog, LinkedIn, email, ads, webinar). Maximum 3-4 channels to avoid spreading thin.
• Budget: how much can you invest? (in tools, ads, design). If it is 0 EUR, organic channels are your option.
• Timeline: campaign duration. Recommended: 4 weeks for a realistic project.
• Success metrics: how will you know if it worked? Concrete KPIs: traffic, leads, conversion rate, cost per lead, revenue generated.

Creating the brief with AI

"I want to launch a marketing campaign for [product/service] targeting [ICP]. Objective: [number + metric]. Budget: [EUR]. Duration: 4 weeks. Generate a complete campaign brief that includes: SMART objective, audience profile, value proposition (differentiator vs competition), recommended channels with justification, success KPIs, potential risks and mitigation plan."

Keyword research and pillars

With the brief defined, do keyword research (MV02) focused on your campaign. Identify:

• 3-5 main keywords your audience searches when they have the problem you solve.
• 10-15 long-tails and related questions.
• The search intent of each keyword (informational, commercial, transactional).

These keywords will guide all campaign content.

Phase 2: Content creation

With the brief and keywords, you create the campaign content. Content is organized in 3 levels:

Level 1: Anchor piece (content hero)

The main piece of the campaign. It can be:

• A long-form blog article (2,500-3,000 words) optimized for SEO and GEO.
• A downloadable ebook or guide (lead magnet).
• A recorded webinar.
• A detailed case study.
• A product page or landing page.

The anchor piece is the main destination. Everything else points to it.

Level 2: Distribution content

Pieces derived from the anchor piece, adapted to each channel (MV01, atomization):

• 5-10 LinkedIn posts with different hooks.
• 1-2 LinkedIn/Instagram carousels.
• 1 X thread with key points.
• 3-5 emails (nurture sequence or direct campaign).
• 1 short video (60-90 seconds) for social media.
• 3-5 images or infographics to accompany posts.

Level 3: Support content

• Landing page with capture form (if the objective is leads).
• Thank you page with next step.
• Post-conversion follow-up emails.
• Retargeting ads (if you have budget).

Producing everything with AI

For each piece, use the prompts and techniques from previous modules:

1. Anchor piece: generate with the SEO content prompt from MV02. Include schema markup.
2. Social posts: atomize the anchor piece with the MV01 prompt. Adapt to each platform with MV04 formats.
3. Emails: use the sequence prompts from MV03. Personalize by segment.
4. Images: generate with the MV05 prompts. Use your Brand Kit for consistency.
5. Video: generate script with AI, produce with MV05 tools.
6. Landing page: text generated with AI, designed in Canva or your landing page builder.

All content must have consistent tone (MV01 tone document) and every piece must include a clear CTA pointing to the campaign objective.

Phase 3: Distribution and execution

Content without distribution does not exist. Distribution is where the campaign comes to life.

Execution calendar

Organize distribution in a weekly calendar:

• Week 1 (launch): publish the anchor piece. Send the first email to your list. Publish the first 3 LinkedIn posts. Share on X. Activate ads if you have budget.
• Week 2 (amplification): publish the next posts. Send the second email (nurture or follow-up). Share the carousel. Publish the video. Engage with comments.
• Week 3 (push): publish the last posts. Third email with urgency or a new angle. Retarget those who visited the landing but did not convert.
• Week 4 (close and analysis): last email (breakup or final reminder). Collect data. Analyze results.

Active prospecting

In addition to content distribution, execute direct prospecting (MV06):

• Identify 20-30 prospects matching your ICP.
• Enrich their data.
• Send personalized cold emails linking to your anchor piece.
• Contact via LinkedIn those who did not respond to the email.

Pipeline management

Leads generated by the campaign enter your CRM (MV07):

• Each lead is classified by lead scoring.
• Hot leads receive immediate follow-up (call or personal email).
• Warm leads enter an automated nurture sequence.
• Cold leads stay in the database for future campaigns.

Phase 4: Analytics and optimization

The campaign does not end when you publish the last post. It ends when you analyze the results and extract learnings for the next one.

Metrics to measure

• Traffic: visits to the anchor piece and landing page. Traffic source (organic, social, email, ads, direct).
• Engagement: time on page, bounce rate, likes/comments/shares on social media.
• Conversion: leads generated, conversion rate, cost per lead.
• Pipeline: how many leads advanced to opportunity, how many to demo, how many to proposal.
• Revenue: if the campaign generated sales, how much directly attributable revenue.
• ROI: (revenue generated - campaign cost) / campaign cost. If ROI is positive, the campaign was profitable.

Post-mortem with AI

At the end of the campaign, do a complete post-mortem with AI:

"Here are the results of my 4-week campaign [paste all data: traffic, leads, conversions, revenue, email metrics, social metrics, ad metrics]. The objective was [X]. Analyze: 1) Was the objective met? 2) What worked best (channel, format, message)? 3) What worked worst? 4) What would I change if I started over? 5) 5 concrete learnings for the next campaign. 6) Projection: if I repeat this campaign with the suggested adjustments, what results can I expect?"

Iterative optimization

The first campaign is the baseline. The following ones improve iteratively:

• The best-performing posts become templates for future campaigns.
• Winning email subjects inform the next A/B tests.
• Channels with the best ROI receive more budget.
• Channels with the worst ROI are optimized or eliminated.
• The ICP is refined with real conversion data.

Full example: B2B launch campaign

To show how everything integrates, here is an example of a real campaign:

Brief

• Product: marketing automation SaaS platform for SMBs.
• Objective: 30 demos booked in 30 days.
• ICP: CMOs and marketing directors at companies with 50-200 employees.
• Channels: blog, LinkedIn, email, cold outreach.
• Budget: 500 EUR (tools + basic ads).

Content produced with AI

• Anchor piece: 3,000-word blog article: "How to Automate Your Marketing Without a Big Team: Guide for SMBs 2026". SEO + GEO + FAQPage schema optimized.
• Lead magnet: 2-page downloadable checklist: "15 Marketing Tasks You Can Automate Today".
• 8 LinkedIn posts: atomized from the article, each with a different angle.
• 1 LinkedIn carousel: "7 Signs Your Team Needs Marketing Automation".
• 1 X thread: 10 tweets with data and examples from the article.
• 5 emails: welcome sequence for those who download the lead magnet.
• 20 cold emails: personalized for 20 target CMOs.
• 5 images: generated with Midjourney, Brand Kit applied in Canva.
• 1 video: 60 seconds, AI-generated script, produced with Synthesia.
• Landing page: with form to download the lead magnet.

Execution (4 weeks)

• Week 1: article publication + 2 LinkedIn posts + email to existing list + 10 cold emails.
• Week 2: carousel + video + 3 LinkedIn posts + second nurture email + 10 remaining cold emails.
• Week 3: X thread + 2 LinkedIn posts + cold email follow-up + third nurture email.
• Week 4: final LinkedIn post + final email + calls to hot leads + analysis.

Results (hypothetical but realistic)

• Article traffic: 2,800 visits (1,200 organic, 800 social, 500 email, 300 direct).
• Lead magnet downloads: 140 (5% conversion).
• Cold email responses: 8 of 20 (40% response with high personalization).
• Demos booked: 22 (15 from lead magnet nurture + 5 from cold email + 2 from LinkedIn DMs).
• Objective: 30 demos. Result: 22 (73% of objective). Clear improvement plan for the next campaign.

Timeline and deliverables

Preparation week (before the campaign)

• Complete campaign brief.
• Validated keyword research.
• Anchor piece written and published.
• Lead magnet created.
• Landing page configured.
• Email sequence scheduled.
• Social media content generated and scheduled.
• Cold outreach list enriched.

Weeks 1-4 (execution)

Follow the distribution calendar. Monitor metrics daily. Adjust in real time if something is not working (a post with no engagement gets replaced, an email with low open rate gets retested).

Week 5 (analysis)

• Collect all data.
• Post-mortem with AI.
• Learnings document.
• Improvement plan for the next campaign.

Final campaign checklist

Strategy

• Complete brief with SMART objective, ICP, channels and KPIs.
• Keyword research validated with real data.
• 4-week calendar with all pieces planned.

Content

• Anchor piece published with SEO + GEO + schema markup.
• Lead magnet created (if applicable).
• Minimum 5 social media posts adapted per platform.
• Email sequence (3-5 emails) configured.
• Images/video with consistent branding.
• Landing page with form and tracking.

Distribution

• Posts scheduled in scheduling tool.
• Emails scheduled in email marketing platform.
• Personalized cold outreach sent (if applicable).
• CRM configured to receive and classify leads.

Analytics

• Tracking configured (UTMs, Google Analytics, conversion events).
• Monitoring dashboard (even if it is a spreadsheet).
• Post-mortem with AI at the end of the campaign.
• Learnings document and improvement plan.

Evaluation criteria

The evaluation is not based on whether the campaign generated millions of leads. It is based on the quality of the process:

1. Strategy (20%): the brief is clear, the ICP is defined with data, the objective is SMART, the channels are justified.
2. AI usage (20%): AI was used intelligently at every phase (not just to generate text, but to analyze, plan, optimize).
3. Content quality (20%): the pieces are professional, the tone is consistent, the content adds real value and is not AI filler.
4. Execution (20%): the campaign was actually executed (not just a plan). There is evidence of publication, distribution and follow-up.
5. Analysis (20%): data is collected, the post-mortem is honest (acknowledges what worked and what did not), learnings are actionable.

The project

You have completed Marketing and Sales

In 10 modules you have covered the complete marketing and sales cycle powered by AI:

1. Strategy: content pillars, editorial calendar, tone of voice (MV01).
2. Visibility: SEO, GEO, schema markup (MV02).
3. Email: segmentation, personalization, automated sequences (MV03).
4. Social media: content per platform, scheduling, listening (MV04).
5. Visual: design, images, video with AI (MV05).
6. Prospecting: ICP, enrichment, cold email, multichannel outreach (MV06).
7. CRM: predictive lead scoring, pipeline, data hygiene (MV07).
8. Conversations: transcription, coaching, objections, competitive intel (MV08).
9. Analytics: dashboards, cohorts, attribution, forecasting, reporting (MV09).
10. Integration: complete end-to-end campaign with AI at every step (MV10).

AI does not replace the marketer or the seller. It makes them faster, better informed and more effective. The competitive difference in 2026 is not using AI (everyone uses it). It is using it with strategy, with your own data and with the expertise that only an industry professional can bring.

Now you have the tools, the prompts and the frameworks. What is missing is practice. Execute campaigns. Measure. Learn. Repeat. Each iteration brings you closer to the point where AI is a natural extension of your work, not a tool you consult occasionally.