I wanted to build a media brand around simple, non-judgmental words and values while learning what actually earns attention organically. The question was not only “how do I post more?” but “how do I find repeatable content signals without losing the brand’s tone?”

I used AI-assisted scanning to surface social topics and content patterns, then filtered them manually against the brand’s values. Weekly performance reviews helped identify which themes, formats, and emotional angles created stronger reach, saves, and shares.

Performance became a learning signal. The strongest content did not only get views; it also generated save/share behavior, suggesting strong personal relevance for the audience.

Instead of chasing every trend, I treated trends as raw material: adapt the signal, simplify the message, keep the tone conversational, and repeat patterns that matched both audience response and brand identity.

Positioning, trend/reference research, copywriting, visual direction, publishing, and weekly performance review were all handled directly. I also repeated high-performing signals to build a stronger organic loop over time.

In 90 days, waai.id reached 85.7K views and 9,886 interactions, with 97% of views coming from non-followers. One reel reached approximately 73.7K views, 6.3K likes, 682 shares, 1.5K saves, and brought 42 follows from that content.

The service needed a simple, direct offer that people could understand quickly: pijat saraf datang ke rumah, focused on related complaints, with a clear action path to WhatsApp.

I built the message around what the audience was most likely to care about first: convenience, relevance of the service, service area, and an immediate CTA. The ad was intentionally made to train Meta around the creative signal and WhatsApp intent.

I handled the idea, message framing, creative direction, and ad execution with AI-assisted support. The result was one clear promotional creative optimized for WhatsApp lead generation.

With around Rp59,003 spent, the campaign generated 64 WhatsApp conversations at approximately Rp921.92 per conversation. From two converted patients, the received revenue was around Rp2.7M.

From the user side, two issues were especially visible: pre-order information was not clear enough, and earlier there was no clear lead to WhatsApp contact for ordering.

I wrote the questionnaire and interview direction, reviewed the findings, refined the team output, and led the correction process. I also handled much of the final refinement for the PDF, PPT, and prototype direction with AI-assisted execution based on my prompts and ideas.

The proposed journey clarified what product the user was ordering and improved the route from the website/link in bio to WhatsApp so the customer would already know what they intended to buy.

The project was presented successfully and supported a perfect course score for the assignment sequence. More importantly, it demonstrated how research can be converted into a clearer experience and a more directed user path.

Promotional banners can fail not because the offer is weak, but because the hierarchy is weak. If the key message is not seen in under a few seconds, the design loses commercial power.

I helped refine the analysis and final communication so the presentation clearly separated: what the existing problem was, why it mattered, and how the redesign solved the hierarchy issue.

The project strengthened my ability to judge promotional design not only visually, but strategically: hook priority, readable benefit structure, CTA visibility, and message order.

My contribution was focused on what the customer sees first: product visuals, SEO-friendly product names, banner direction, and storefront improvements. I gave business development suggestions to help improve the shop’s presentation and conversion potential.

The business reportedly moved from around 30 units per day to a range around 80–150 units per day, although not always consistently due to market conditions and external events. My role was advisory rather than managing the paid ads directly.