The problem:

Even with good content, most AI brands hit the same wall:

• No defined content strategy, structure or brand direction
  

• Inconsistent and unplanned content output
  

• Over reliance on unnatural, low quality AI-generated visuals
  

• No content calendar or posting framework
  

• Absence of CTA, engagement and conversion strategy
  

• No clear audience growth or distribution pathway
  

• Lack of a newsletter format or lead-capture system
  

• No automation or funnel to convert viewers into subscribers
  

• No integration between social content, newsletter and website traffic
  

• Minimal brand presence with an extremely small initial audience (12 followers)
  

• No scalable content, community or traffic growth roadmap

Goals & success metrics:

We aligned on a simple scorecard:

Primary Goals & KPI

(these directly solved the core problems)

• Establish a structured content and brand growth system

• Build an engaged audience from the ground up

• Launch and scale a newsletter as a primary lead magnet

• Convert social media attention into subscribers and website traffic

Primary KPIs

• Newsletter sign-ups (via content + automation)

• Website traffic driven from social and newsletter

• Comment-to-conversion rate (automation-triggered CTAs)

• Follower and community growth rate

Secondary Goals & KPIs

(these ensured quality, consistency, and scalability)

• Improve content quality and brand authenticity

• Increase engagement and interaction on short-form content

• Create a repeatable content-to-conversion funnel

• Maintain consistency through structured publishing

Secondary KPIs

• Engagement rate (comments, saves, shares)

• CTA response rate (keyword comments, link requests)

• Content consistency and posting frequency

• Click-through rate from newsletter to blog/website

Our Solution:

We ran a clean, 3-layer system:

Layer A -> Cold acquisition (new people)

• Target people interested in AI tools, productivity, creators, founders, marketers, students (based on the audience demographic)

• Hook-driven creatives that sell outcomes (“useful tools”, “save time”, “learn faster”) not just some vague “AI is the future” stuff

Layer B -> Warm retargeting (people who engaged)

• Retarget video viewers, profile engagers, site visitors

• Move them to a clearer action: read a guide → join list → come back again

Layer C -> Conversion push (highest intent)

• Retarget frequent visitors / engagers with “join waitlist / subscribe / explore tools” CTA

• Keep friction low (fast landing page, clear CTA, minimal form fields)

Steps we took to achieve the Goals:

1. Tracking & measurement

• Pixel + conversion events (Lead / Subscribe / ViewContent)

• UTMs on every campaign

• Weekly KPI dashboard and decisions based on data (not vibes)

2. Campaign build

• Separate campaigns for:

  • Awareness / video views (cheap reach, build retargeting pool)

  • Traffic (optimize clicks + landing page views)

  • Conversions (optimize sign-ups/leads)

3. Creative system

• 3–5 creative angles tested in parallel:

  • “Best AI tools for ___”

  • “AI prompts / workflows for ___”

  • “Weekly AI updates that are actually useful”

• Short formats + Long formats + carousel-style creatives

4. Budget logic

• Start controlled (test budget) → shift spend only to content that performs

• After testing out different formats, we boosted content that showed potential and performed well organically

• Initial ad budget (8k/month)

The Final Result 😎

To summarize everything, our services helped Aadhunik AI gross over 100k+ views. Helped them secure brand deals with international clients and establish a brand presence in the AI niche.

200k+

10+

International brand deals

Views on Instagram