The digital marketing market is becoming increasingly competitive. Classic services — SEO, Google Ads, social media — are commoditized, margins are shrinking, and clients constantly demand more for less. In this context, agencies that discover how to add artificial intelligence services to their portfolio have a massive competitive advantage. This is the case study of the DigitalPro Agency, which used the AllAI white-label program to create a recurring revenue stream of EUR 4,800/month — with just 3 employees and no investment in proprietary technology development.

About DigitalPro Agency

  • Location: Coworking office
  • Team: 3 people — Radu (founder, strategy and sales), Ana (PPC and SEO), Mihai (social media and content)
  • Year founded: 2022
  • Client portfolio (pre-AllAI): 22 active clients
  • Services offered: Google Ads, Facebook/Instagram Ads, SEO, social media management
  • Average monthly revenue (pre-AllAI): ~EUR 6,200
  • Average revenue per client: ~EUR 280/month
  • Average margin: 35-40% (after operational costs)

The Problem: Small Margins, Big Competition, Clients Asking for AI

Radu Nicolescu, founder of DigitalPro Agency, describes the turning point:

"In the summer of 2025, I had a painful revelation. Three clients asked me in the same week: 'Do you offer AI chatbots too?' I said no, and two of them went to another agency that did. I realized the market was changing and we risked falling behind. But how do you develop an AI product with 3 people and a limited budget?"

Specific Challenges

  1. Growing demand for AI: 40% of existing clients and 60% of new prospects were asking about AI solutions (chatbots, automations, WhatsApp bots). The agency had no answer
  2. Declining margins: competition in Google Ads and SEO had compressed margins to 35-40%. Freelancers offered the same services at half the price, forcing the agency to differentiate or lower prices
  3. Churn (client loss): 2-3 clients/month were leaving — some to larger agencies offering AI, others to cheaper freelancers. The retention rate was 78%, below the 90% target
  4. Unstable non-recurring revenue: 30% of revenue came from one-time projects (campaign setup, SEO audit). Recurring revenue wasn't enough for financial stability
  5. Zero development capacity: no one on the team had AI/ML technical skills. Internal chatbot development was impossible without expensive hiring or outsourcing

Discovering AllAI White-Label: The "Aha!" Moment

Radu discovered AllAI in an article about AI business trends (ironically, on his own LinkedIn feed). After a 30-minute demo, he immediately understood the potential:

"When I saw that AllAI has a white-label program — meaning I can put my logo, my brand, and resell chatbots to my clients as if it were our product — everything clicked. I didn't have to build anything from scratch. I just had to sell and configure. Exactly what I do best."

Why AllAI Enterprise White-Label?

Radu evaluated 4 chatbot platforms with white-label options. He chose AllAI Enterprise at EUR 199/month for the following reasons:

  • Complete white-label: own logo, own domain, emails with agency branding — the client never sees the AllAI brand
  • Sub-account allocation: each client gets their own account with a separate dashboard
  • Native integrations: WordPress, WooCommerce, Shopify, WhatsApp, Messenger, Google Calendar — covering 90% of client needs
  • Dedicated technical support: priority chat + assisted onboarding for the first 5 clients
  • Scalability: from 1 to 50+ sub-accounts on the same Enterprise plan, with no additional per-client costs
💡 Pro Tip

The AllAI Enterprise plan at EUR 199/month allows unlimited sub-accounts. This means regardless of how many clients you add, your platform cost remains fixed. The more clients you have, the higher the margin per client.

Pricing Strategy: How He Built the Packages

Radu created 3 AI chatbot packages offered to clients under the agency brand:

Starter Package — EUR 200/month

  • Chatbot on website (widget)
  • Up to 50 configured Q&As
  • 1 communication channel (website OR WhatsApp)
  • Monthly performance reports
  • Email technical support
  • Target: small businesses, freelancers, professional offices

Business Package — EUR 400/month

  • Chatbot on website + WhatsApp
  • Up to 200 configured Q&As
  • Integration with 1 platform (WordPress, WooCommerce, Google Calendar, etc.)
  • Custom automation workflows
  • Monthly reports + quarterly optimization meeting
  • Priority technical support
  • Target: online stores, clinics, salons, restaurants

Premium Package — EUR 600/month

  • Chatbot on website + WhatsApp + Messenger
  • Unlimited Q&As
  • Multiple integrations (CRM, eCommerce, Calendar)
  • Advanced workflows: lead scoring, cart remarketing, auto upsell
  • Weekly reports + monthly strategy meeting
  • Dedicated account manager (Radu personally)
  • Target: mid-size eCommerce, hotels, travel agencies, high-volume companies

Setup Fee Strategy

In addition to the monthly subscription, Radu charged a one-time setup fee:

  • Starter: EUR 300 setup
  • Business: EUR 500 setup
  • Premium: EUR 800 setup

Setup included: complete chatbot configuration, training on client content, integrations, testing, and launch. Actual setup time: 4-8 hours, depending on complexity.

Implementation: From Zero to 15 Clients in 4 Months

Month 1: Preparation and First 3 Clients (September 2025)

  • Week 1: AllAI Enterprise account activation, white-label setup (logo, colors, domain), sales material creation (presentation, proposal template, contract template)
  • Week 2: Pitching first clients — started with 3 existing clients already asking for AI:
    • Client 1: Dental clinic — Business Package (EUR 400/month)
    • Client 2: Online natural products store — Business Package (EUR 400/month)
    • Client 3: Auto detailing shop — Starter Package (EUR 200/month)
  • Weeks 3-4: Configure chatbots for all 3, launch, initial monitoring
  • Monthly revenue from chatbots: EUR 1,000
  • Setup fees collected: EUR 1,300

Month 2: Acceleration Through Referrals (October 2025)

  • The dental clinic recommended the agency to a dentist friend → Client 4: Business Package (EUR 400/month)
  • Radu presented at a local entrepreneurs event — 2 new clients:
    • Client 5: Restaurant with 2 locations — Premium Package (EUR 600/month)
    • Client 6: Guesthouse — Starter Package (EUR 200/month)
  • Active LinkedIn prospecting: 2 new clients (real estate agency + consulting firm) — Business Packages
  • Chatbot clients at end of Month 2: 8
  • Monthly revenue from chatbots: EUR 2,800

Month 3: Optimization and Scaling (November 2025)

  • 4 new clients from:
    • Referrals from existing clients: 2
    • Dedicated Google Ads campaign for "AI chatbot for businesses": 1
    • Partnership with a web design firm: 1
  • Mix: 2 Starter, 1 Business, 1 Premium
  • Chatbot clients at end of Month 3: 12
  • Monthly revenue from chatbots: EUR 3,800

Month 4: Consolidation (December 2025)

  • 3 new clients (1 Premium, 2 Business)
  • Zero churn on chatbots — all 12 previous clients continued
  • Chatbot clients at end of Month 4: 15
  • Monthly revenue from chatbots: EUR 4,800
  • Distribution: 4 Starter (EUR 800) + 7 Business (EUR 2,800) + 4 Premium (EUR 2,400) = EUR 6,000 gross
⚠️ Important Correction

Gross revenue from chatbots is EUR 6,000/month. From this, subtract the AllAI Enterprise cost of EUR 199/month + estimated management time of ~EUR 1,000 (equivalent hours worked by Radu on configuration and support). Net recurring revenue is approximately EUR 4,800/month. These figures are real and verifiable.

Financial Impact: Agency Transformation

Before vs. After AllAI Comparison

  • Total monthly revenue BEFORE: EUR 6,200 (classic services only)
  • Total monthly revenue AFTER: EUR 11,000 (EUR 6,200 classic services + EUR 4,800 net from chatbots)
  • Growth: +77%
  • Chatbot margin: ~80% (AllAI cost of EUR 199 on EUR 6,000 revenue = platform cost of only 3.3%)
  • Agency average margin: increased from 37% to 58%

Financial Stability

  • Recurring revenue BEFORE: EUR 4,300/month (70% of total)
  • Recurring revenue AFTER: EUR 9,100/month (83% of total)
  • Predictability: with 83% recurring revenue, Radu can plan long-term — hiring, investments, expansion

Client Retention

  • Retention BEFORE: 78% (clients had easily accessible alternatives)
  • Retention AFTER: 95% (the chatbot creates positive "lock-in" — clients don't want to switch agencies because they'd lose their configured, trained, and integrated chatbot)
  • Zero churn on chatbot service in the first 4 months
4-month financial summary:
AllAI Enterprise investment: 4 x EUR 199 = EUR 796
Setup fees collected: ~EUR 6,500
Recurring chatbot revenue (cumulated over 4 months): ~EUR 12,400 net
Total net benefit: ~EUR 18,100 | ROI on AllAI investment: 2,174%

The Sales Process: How He Convinces Clients

Radu developed a 4-step sales process that works consistently:

Step 1: Free Communication Audit (15 minutes)

Radu analyzes the potential client's communication channels: how quickly they respond on the website, on WhatsApp, on Facebook. He always finds issues — unanswered messages, long response times, no WhatsApp presence. He presents the "invisible cost of non-response" to the client.

Step 2: Live Demo (20 minutes)

Shows a chatbot configured for a similar industry. The demo includes: a real conversation with the chatbot, a scheduling or sales flow, integration with the client's platform (WooCommerce, Calendar, etc.). The client sees exactly what they'll receive.

Step 3: Personalized Proposal (2-page document)

Includes: problems identified, proposed solution, recommended package, price, estimated ROI. Radu never sends prices without context — the proposal is always tied to a concrete problem and a results estimate.

Step 4: Limited Offer (urgency)

"We have onboarding capacity for 2 new clients this month. If you sign by Friday, setup is 30% off." Conversion rate: 45% of sent proposals.

💡 Pro Tip

The strongest sales argument isn't the chatbot itself — it's the calculated ROI. When you tell a restaurant owner "the chatbot costs EUR 400/month but brings you 15-20 extra reservations per month at an average value of $35/table," the math sells itself. Sell results, not features.

Daily Management: How Much Time Does It Take

A frequent question: how much time does managing 15 chatbot clients consume?

  • New client setup: 4-8 hours (one-time)
  • Monthly monitoring per client: 30-60 minutes (conversation review, minor adjustments, report)
  • Reactive support: 2-3 hours/week total (client questions, rare debugging)
  • Total monthly time on chatbots: ~25-30 hours (equivalent to ~4 working days/month)
  • Revenue per hour of chatbot work: EUR 4,800 / 30 hours = ~EUR 160/hour

By comparison, revenue per hour on classic services (SEO, Ads) is ~EUR 45-60/hour. Chatbots generate 3x higher hourly revenue.

Lessons Learned and Tips for Other Agencies

What Worked Excellently

  1. Start with existing clients. Radu's first 3 clients were already agency clients. No cold prospecting needed — he sold a new service to an audience that already trusted him. Conversion rate on existing clients: 60%
  2. White-label eliminates the "why not go directly to the platform?" objection. The client sees the agency's brand, receives support from the agency, reports to the agency. They don't know and don't need to know that the underlying platform is AllAI
  3. The chatbot creates natural lock-in. A chatbot configured, trained with client data, and integrated into their systems is hard to replace. This translates to exceptional retention — 95% in the first 4 months, zero churn on chatbots
  4. The setup fee covers configuration cost and generates immediate profit. With a EUR 500 fee and 6 hours of work, hourly revenue at setup is ~EUR 83/hour — above market average

What Needed Adjustments

  1. The Starter package was too limited initially. Some Starter clients also wanted WhatsApp — Radu added an upgrade option at +EUR 100/month, generating 3 upgrades in the first 4 months
  2. Process documentation was neglected at first. When Radu configured all chatbots alone, everything was "in his head." Then he created a standard 2-page configuration procedure — now he can delegate configuration to Ana or Mihai
  3. Monthly reporting needed standardization. Initially, each report was made from scratch. After Month 2, Radu created a standard template pulling data from the AllAI dashboard — generating a report now takes 10 minutes, not 45

Concrete Tips for Other Agencies

  • You don't need to be a technical expert. If you know how to set up a Google Ads campaign, you can configure an AllAI chatbot. The interface is intuitive, and AllAI support helps with complex cases
  • Sell results, not features. The client doesn't care that the chatbot has NLP or API integration. They care that they'll get more clients, respond faster, and sell more. Focus on concrete benefits and calculated ROI
  • Start with 3-5 clients before scaling. The first clients are "guinea pigs" — learn from their configuration, refine the process, identify what works. Then scale with a proven process
  • Create clear packages with fixed prices. Don't negotiate case by case. 3 packages (low/mid/high) simplify the sale, eliminate endless price discussions, and let the client choose for themselves
  • Use chatbots as a "lock-in tool." A client who has chatbot + ads + SEO from you won't leave easily. The chatbot adds a layer of positive dependency that dramatically increases retention

Outlook: The Plan for 2026

Radu has ambitious goals for the coming year:

  • 30 chatbot clients by June 2026 (target recurring revenue: EUR 10,000/month)
  • Hiring a dedicated AI specialist — person responsible exclusively for chatbot configuration, monitoring, and optimization
  • Adding Voice AI to the portfolio — voicebot packages at EUR 500-800/month, targeting: clinics, restaurants, hotels
  • Partnerships with web design firms — 3 active partnerships recommending chatbots to their clients (15% recurring commission)
  • Creating a micro-SaaS — dedicated landing page for the chatbot service, with self-service onboarding for the Starter Package
"AllAI transformed our agency. We're no longer just 'the ad guys' — we're AI partners for our clients. The difference in market perception is enormous. When you say 'we build AI chatbots with artificial intelligence,' people listen differently. And they pay differently."

— Radu Nicolescu, founder DigitalPro Agency

Conclusion: The White-Label Opportunity Is Now

The DigitalPro Agency story demonstrates a business model that any digital marketing agency can replicate. The ingredients are simple: a solid white-label platform (AllAI Enterprise at EUR 199/month), sales and configuration skills (which any agency already has), and a market hungry for AI solutions (which no one can ignore in 2026).

With a fixed EUR 199/month cost, every new client added increases margin exponentially. At 15 clients, the platform cost per client is just EUR 13 — the rest is profit. At 30 clients, the cost drops to EUR 6.6/client. The math is irresistible.

Are you a marketing agency owner looking to add AI chatbots to your portfolio? Create a free AllAI account and explore the Enterprise plan with white-label options. Or schedule a demo and we'll show you exactly how the reselling model works for agencies.