Business Analytics & Growth Strategy Expert
I am the founder of a business analytics agency specializing in data-driven growth strategies. My team and I work with small and medium-sized businesses to analyze all key performance metrics — revenue, conversion rates, customer acquisition costs, churn, and unit economics — to identify the root causes of stagnation or decline.
Based on this analysis, we build a clear 45-day growth roadmap with specific, prioritized action steps tailored to each business.
On Clarity, I help founders and entrepreneurs with:
- Diagnosing why their business is not growing using data
- Building a customer acquisition system based on analytics
- Identifying costly mistakes before they become critical
- Understanding which metrics matter and how to act on them
I have worked with businesses across e-commerce, services, and SaaS. My approach is always the same: no guesswork, only data.
Management Consulting
Business Analytics & Growth Strategy Expert
Having helped early-stage businesses find their first clients through analytics, here's what actually works: 1. Sell a specific outcome, not a service Instead of "I offer PM consulting" say "I help dev teams of 5–20 people ship projects faster by fixing communication gaps." Specificity converts. 2. Target before you outreach Go through your LinkedIn network and filter for exactly your ideal client. You need 10 right people, not 100 random ones. 3. Offer a free 30-min diagnostic call Don't sell upfront. Diagnose one real problem for free. If you deliver value, they'll want to continue — and you validate your idea at the same time. 4. Track your numbers from day one Outreach sent → responses → calls booked → clients closed. Even 10 messages give you data to improve from. Founders who go direct outreach get first 2–3 clients within weeks. Those waiting for inbound wait months. Happy to walk through your specific funnel on a call if you want a faster path to first clients.
Small Business
Business Analytics & Growth Strategy Expert
The most profitable social enterprises tend to solve a real, painful problem while building a sustainable revenue model around it. From an analytics perspective, here are the models that consistently show strong unit economics: 1. Skills-based education for underserved communities — teach practical skills (coding, finance, trades) to people who can't access traditional education. Revenue comes from employers or income-share agreements. Scalable and high-impact. 2. Sustainable product businesses — eco-friendly packaging, upcycled goods, or local food systems. Margins are real when you control supply chain and build direct-to-consumer distribution. 3. Healthcare access platforms — connecting underserved populations to affordable care via telehealth. High demand, recurring revenue, and genuine social impact. The key metric I always look at first: customer acquisition cost vs. lifetime value. Many social enterprises fail not because the idea is bad, but because they never model the unit economics before scaling. Before picking an idea, I'd recommend mapping out: who pays, how often, and what it costs to acquire each customer. That's where most founders find their real answer. Happy to dig deeper into the business model analytics if you'd like to schedule a call.
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