Stop Guessing. Start Using AI to Find Your Next 500 Customers.
Analyze your first five buyers to find demographic and psychographic signals. Use an AI agent to find lookalike prospects and automate personalized outreach.
This is not about running more generic Facebook ads. It's about building a repeatable system that turns your initial, hard-won traction into a predictable sales process. The system uses your first customer data, product information, and existing social media channels as inputs to find your next customers.
We built this system for a 3-person D2C skincare brand that had only 20 pre-launch customers. The AI agent we deployed identified 400 qualified micro-influencers in the first week. This led to 50 new affiliate partnerships within one month, creating their first scalable sales channel.
What Problem Does This Solve?
Most new brand founders turn to Facebook Ads. The problem is that Facebook's Lookalike Audience feature requires at least 100 purchases from a single country to work effectively. With only 5 sales, the algorithm has no signal, so you burn hundreds of dollars showing ads to broad, uninterested audiences with a cost per acquisition often exceeding $200.
The next step is usually manual outreach. You spend hours DMing people on Instagram who follow larger fitness influencers. This is incredibly slow, and sending more than 20-30 messages a day often gets your account flagged for spam. The generic message "Hey, check out our new supplement!" has a response rate near zero because it provides no value and builds no trust.
These standard tactics fail because they are designed for brands that already have significant customer data. They are volume-based approaches applied to a relevance problem. Without a data-driven way to identify the specific niche that your first few customers represent, any marketing spend or manual effort is a shot in the dark.
How Does It Work?
We start with the order data from your first 5-10 customers. Using the Claude API and Python scripts, we analyze their public profiles to build rich personas, identifying 15-20 key attributes beyond simple demographics. We look for behavioral signals: who they follow, what communities they engage with, and the specific language they use. This creates a detailed map of your ideal early adopter.
Next, we build a prospecting agent using FastAPI that scans platforms like Instagram, TikTok, or Reddit. It doesn't just match keywords; it analyzes bios, post content, and engagement patterns to find profiles that match the personas we created. The agent processes around 5,000 profiles per hour, filtering them down to a high-quality list of 100-200 potential customers or micro-influencers per day. We deploy this on AWS Lambda to ensure processing is fast and hosting costs remain under $50/month.
Once a prospect is identified, the agent uses the Claude API again to draft a personalized, context-aware outreach message. It might reference a recent post or a shared interest. These drafts are saved to a Supabase database for you to approve with a single click. Approved messages are sent automatically through the platform's API, respecting all rate limits. We use structlog for detailed logging of every action.
This creates a closed feedback loop. When a prospect responds positively or buys, their profile data is fed back into the system to refine the personas. After just 50 positive interactions, the agent's accuracy in finding ideal customers typically improves by over 30%. The system learns and gets smarter, making your outreach more effective over time.
What Are the Key Benefits?
Find Your Niche in 2 Weeks
Stop guessing at audiences. We analyze your first sales and deliver a data-backed customer profile and a list of 500 prospects in 10 business days.
Your First Repeatable Sales Channel
Move beyond random marketing acts. This is a persistent system that generates qualified leads daily, creating a predictable pipeline you can build on.
You Own the Engine, Not a Subscription
You receive the full Python source code in your GitHub repository. There are no per-seat fees that punish you for growing your team or sales volume.
Stay Compliant, Avoid Bans
Our outreach agent respects platform rate limits and randomizes sending times. It's designed for targeted interaction, not high-volume spam that gets accounts suspended.
Connects to Shopify and Email
The system pulls new customer data directly from Shopify via webhooks and can push drafted outreach messages to a dedicated Gmail account for your review.
What Does the Process Look Like?
Persona Discovery (Week 1)
You provide Shopify order data for your first customers. We deliver a detailed report outlining 3-5 distinct customer personas with psychographic and behavioral attributes.
Agent Build & Test (Week 2)
We build the core prospecting and outreach agent. You receive a list of the first 100 prospects generated by the system for review and feedback.
Deployment & Integration (Week 3)
We deploy the agent on AWS Lambda and connect it to your Shopify and email. You get access to a Supabase dashboard to approve messages and track performance.
Monitoring & Handoff (Weeks 4-8)
We monitor the agent's performance for 4 weeks, tuning the personas as new sales come in. You receive a full runbook and the complete source code in your GitHub repo.
Frequently Asked Questions
- What if I only have 5 sales? Is that enough data?
- Yes. We are not building a statistical model that needs thousands of data points. We use AI to perform deep qualitative analysis on your initial buyers to create rich personas. This reverse-engineers why they bought. The system then finds more people who fit that specific, narrow profile. It's about signal, not volume. We can start with as few as 3 customers.
- How much does a system like this cost?
- The final price depends on the number of platforms you want to prospect on (e.g., Instagram, TikTok) and the complexity of the outreach logic. A typical build for one platform is a fixed-price engagement. Hosting on AWS Lambda and Supabase usually costs under $50 per month. Book a discovery call at cal.com/syntora/discover for a detailed quote.
- What happens if Instagram changes its API and the scraper breaks?
- This is a known risk. Our optional flat monthly maintenance plan covers this. We monitor for API changes and platform updates. If a scraper breaks, we typically deploy a fix within 48 hours. The agent is built with modular Python components, so we can update the scraping module without rebuilding the entire system.
- How is this different from hiring a marketing agency?
- An agency rents you their time and uses standard ad platforms. You stop getting results the day you stop paying them. We build you an asset. You own the code for the prospecting system forever. It's a one-time build that becomes a permanent part of your company's infrastructure, working for you 24/7 without ongoing retainer fees.
- Does this only work for supplement brands?
- The principle is universal: find your first believers and then find more people like them. We have adapted this system for a B2B SaaS company prospecting on LinkedIn, a design agency finding clients on Dribbble, and a high-end coffee brand finding micro-influencers on TikTok. The core agent architecture is the same; we just change the data sources.
- Do I need technical skills to run this?
- No. You interact with the system through a simple dashboard where you approve or reject drafted messages. We set up all the infrastructure on AWS and Supabase for you. You will receive alerts in Slack or email if anything needs your attention. The final handoff includes a non-technical runbook explaining how to monitor performance and manage the outreach queue.
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