My Ads Vantage (MAV) 2.0
An AI-driven, end-to-end ad creation and automated placement platform, poised to revolutionize SME advertising in Southeast Asia.
RM 3,300
Current MRR Monthly Recurring Revenue from 11 paying beta testers at RM 300 each. Annualized (ARR), this is ~RM 39,600.
60%
Target COGS Cost of Goods Sold. We aim to reduce this from 85% to 60% of revenue, significantly improving our gross margin and unit economics.
RM 1.5M
Funding Ask Seeking RM 1.5M in our Growth Equity option to fund a 24+ month runway for marketing, development, and operations.
A Multi-Billion Ringgit Opportunity
Targeting a massive and growing digital ads market, starting with underserved SMEs in Malaysia and Singapore.
Total Addressable Market (TAM) The total market demand for digital advertising in Southeast Asia. This represents the overall revenue opportunity available.
RM 5.4 Billion
SEA Digital Ads (15% CAGR)
Serviceable Addressable Market (SAM) The segment of the TAM targeted by our products and services, which is SMEs in Malaysia & Singapore.
RM 720 Million
MY + SG SMEs (11% CAGR)
Serviceable Obtainable Market (SOM) The portion of SAM we can realistically capture in the next 5 years (our target), representing RM 12M in Annual Recurring Revenue.
RM 12 Million ARR
5-Year Goal (2% of SAM)
Competitive Landscape
While many tools handle parts of the ad process, MAV is unique in its full-funnel automation and localization for the SEA market.
| Competitor | PS Multiple Price-to-Sales Multiple: A valuation metric comparing the company's stock price to its revenues. Higher multiples often indicate higher growth expectations. | Key Gaps vs. MAV |
|---|---|---|
| Jasper.ai | 20x | Long-form content focus, no ad placement |
| AdCreative.ai | 15x | Creative generation only, no placement layer |
| Predis.ai | 10x | Limited localized (SEA) creative capabilities |
| MAV (Proposed) | 5x | Full-funnel, localized, API-first, RL optimization |
The Full-Funnel Advantage
Our detailed roadmap transforms MAV from an ad tool into a complete commerce suite for SMEs.
Phase 0: MVP Stabilization (Q3 2025)
Deploy lightweight RL engine to auto-tune CTR > 3% & cap CPM < RM 150. Focus on stabilizing core features (copy/image gen) and proving the Reinforcement Learning concept with clear performance targets.
Phase 1: RL Engine Launch (Q4 '25 - Q1 '26)
Deploy full 5-stage RL agent and add cross-platform placement (Meta/TikTok/RedNote) with light CRM. Roll out the complete optimization engine and expand platform support, demonstrating a clear A/B test uplift of ≥ 15% versus baseline.
Phase 2: Video & Analytics (Q2 2026)
Introduce 5-60 sec AI video ads and a unified cross-platform analytics dashboard. Add high-value features like automated video creation and a central dashboard for users to track performance across all connected ad platforms.
Phase 3: Platform Expansion (Q3-Q4 2026)
Launch white-label portal for agencies, public API, and one-click Figma landing page generator. Evolve MAV into a platform by enabling agency resellers and developer integrations. The landing page generator closes the conversion loop.
Phase 4: Commerce Tools (H1 2027)
Enhance landing page builder and integrate basic e-commerce checkout flows. Begin the transition from an ad-tech tool to a full commerce solution, allowing users to not only generate leads but also process sales directly.
Path to Profitability
A clear financial roadmap showing strong revenue growth, disciplined cost management, and positive EBITDA by 2027.
OPEX Breakdown (2026E) Projected Operating Expenses for 2026. The focus is on Growth & BD (Marketing) and Backend Development to scale the product.
COGS Reduction Plan Our strategy to reduce Cost of Goods Sold from 85% to 60% by Q1 2026 through prompt engineering, model optimization, and negotiating volume discounts for APIs.
Funding Proposals
Two strategic options to fuel our growth, providing a 24+ month runway for expansion and technology development.
Option A: Growth Equity
A straightforward equity investment for a significant stake and governance rights.
Investment
RM 1.5M
for
16.7%
(RM 7.5M Pre-Money) Pre-Money Valuation is the company's value before receiving the investment. Post-Money valuation would be RM 9M (7.5M + 1.5M).
- Governance: 1 Board Seat
- Protection: Weighted-average anti-dilution
- Alignment: Direct alignment with founder for rapid growth
Option B: License + SAFE
A hybrid model minimizing immediate dilution while providing revenue and future equity upside.
Up-front License + SAFE
RM 1.0M
(RM 500k License + RM 500k SAFE)
- Flexibility: Founder retains 100% ownership until conversion
- Rights: 1-year exclusive license + 2% royalty
- SAFE Terms A Simple Agreement for Future Equity (SAFE) converts to equity in a future priced round. The Valuation Cap (RM 7M) sets the maximum valuation for conversion, and the Discount (20%) gives a price reduction. : RM 7M Cap, 20% Discount
Go-to-Market Strategy
A phased approach to build momentum, establish partnerships, and scale customer acquisition efficiently.
1
Phase 1: Seeding
(H2 2025)
Utilize social media and influencer marketing to generate initial buzz and user feedback. Focus on demonstrating the product's value through demos and case studies with Key Opinion Leaders (KOLs) in the digital marketing space.
2
Phase 2: Partnerships
(Q1 2026)
Establish partnerships with marketing agencies to integrate MAV into their workflow. Offer agencies a powerful tool to serve their SME clients more efficiently. Pilot LOIs (Letters of Intent) are already in discussion.
3
Phase 3: Scale
(Q2 2026)
Roll out Telco white-label bundles to reach a massive SME customer base. Partner with telecommunication companies to offer MAV as a value-added service to their existing business customers, enabling rapid scaling.
Proprietary RL Optimization
Our core IP: a five-stage Reinforcement Learning framework that optimizes ad spend by impression volume, not just time, for faster, smarter scaling.
1. Test
Rapidly sample various ad creatives and targeting to gather initial CTR signals. Uses a multi-arm bandit approach to quickly identify promising ad variants with minimal initial spend.
2. Scale
Allocate more budget to the winning variants from the test phase. Employs Thompson Sampling to intelligently balance exploiting known winners and exploring potentially new high-performers.
3. Evergreen
Maintain a set of "always-on" high-ROI ads while pruning underperformers. This stage ensures a consistent baseline of performance and prevents ad fatigue by rotating creatives.
4. Look-alike
Expand reach by targeting new audiences similar to high-value converters. Identifies top-performing audience segments and uses platform tools to find similar users, scaling reach effectively.
5. Broad
Gradually relax targeting to capture a wider, still-profitable audience. Widens the audience net while using performance guardrails (CTR > 3%, CPM < RM 150) to ensure continued profitability.