π Auditable Results
Real numbers, not marketing promises
Talk directly to our clients if you want.
Results summary
Aggregate data from all our active clients. Data from the last 12 months.
Success Case #1
B2B SaaS: From 6 to 29 Closed Deals/Month
50-employee startup with analytics platform for e-commerce. Average ticket β¬12K, 60-day sales cycle.
π Before vs After
Before MOLTBOT
After MOLTBOT
"In 6 months, the assistant generated more qualified pipeline than our last 3 events at β¬15K each. Our AEs now focus on closing, not on qualification."- CTO & Co-founder
Initial challenge
Lead response time of 4-8 hours, only 23% of leads received adequate follow-up, junior SDR qualifying poorly and passing cold leads to senior account executives.
Solution implemented
Assistant trained with previous demos, common objections, pricing strategy, and competitive positioning. Integrated with HubSpot + Calendly + Slack.
Implementation timeline
6 weeks total: 2 weeks discovery + training, 2 weeks integration, 2 weeks testing + optimization.
6-month results
Response rate 89%, qualification accuracy 94%, deals/month +365%, additional revenue β¬564K annual. Team reallocated to account management.
Success Case #2
Premium E-commerce: 73% Cart Recovery Rate
Online store for premium products with 200 employees. Average ticket β¬890, high price competition.
π Cart Recovery Journey
"Our customers now prefer to talk via WhatsApp than call. The bot understands their inquiries better than some humans and is available when they really need help."- Head of Customer Experience
Initial challenge
Cart abandonment of 78%, customer service overwhelmed with repetitive inquiries, lost sales due to lack of guidance during purchase journey.
Solution implemented
Proactive assistant for cart recovery, intelligent product recommendations, sizing assistance, and escalation to live chat for complex cases.
Integration stack
Shopify Plus + Klaviyo + Zendesk + WhatsApp Business API. Automatic triggers based on browsing behavior.
4-month results
Cart recovery 73%, customer satisfaction +31%, support tickets -45%, additional revenue β¬156K annual. Expansion to other markets.
Success Case #3
Professional Services: β¬89K Annual Savings
Legal consultancy specialized in M&A with 120 employees. Tickets β¬50K+, 6-12 month sales cycle.
βοΈ Legal Intake Process
Automatic qualification
- β’ Deal size estimation
- β’ Jurisdiction requirements
- β’ Timeline and urgency
- β’ Budget range indication
- β’ Initial conflict checking
Partner matching
- β’ Industry expertise
- β’ Deal type specialty
- β’ Availability calendar
- β’ Client preference
- β’ Fee structure fit
"Now I only see prospects who really have fit and budget. The assistant does better intake than our paralegals and is available when clients need immediate answers."- Managing Partner
Initial challenge
Senior partners spending time on initial qualification, unqualified leads reaching proposals, manual and inconsistent intake process.
Solution implemented
Assistant specialized in legal intake, budget pre-qualification, conflict checking, and scheduling with appropriate partners based on expertise.
Compliance requirements
GDPR compliance, attorney-client privilege protection, complete audit trails, EU data residency. Full legal review pre-deployment.
8-month results
Partner time savings 60%, lead quality +89%, proposal win rate +34%, cost savings β¬89K annual. Increased client satisfaction.
Industries Where We See Best Results
Not all businesses are fit for AI assistants. These sectors see most consistent ROI.
π’ B2B SaaS
Lead qualification, demo scheduling, trial onboarding, expansion conversations. Average ticket β¬5K+, sales cycle >30 days.
π Premium E-commerce
Cart recovery, product recommendations, sizing assistance, hybrid customer support. AOV β¬200+, products with consideration.
π Real Estate
Lead qualification, property matching, showing scheduling, mortgage pre-qualification. Properties β¬300K+, serious buyers.
βοΈ Professional Services
Intake qualification, expertise matching, proposal pre-work, client communication. Fees β¬10K+, complex decision process.
π B2B Manufacturing
Quote requests, technical specifications, distributor support, lead qualification. Orders β¬25K+, technical complexity.
π Premium Education
Course selection, enrollment process, career guidance, alumni engagement. Programs β¬5K+, long lifecycle.
What Our Clients Say
You can talk directly to them if you want references.
"ROI of 340% in the first year. The assistant handles qualification better than our previous SDR and never has a bad day. Escalation to humans is seamless."David M.CEO, Fintech β¬8M ARR
"Cart abandonment conversion went from 12% to 68%. Customers love the conversational experience. Better than traditional live chat."Carmen R.CMO, Fashion E-commerce
"Partners now focus on high-value work. The assistant handles intake, qualification, and scheduling better than our previous manual process."Miguel A.Managing Partner, Legal
What Makes These Cases Successful
Common Factors in Successful Implementations
Patterns we see in clients with best ROI and adoption.
Leadership buy-in from day 1
CEO/CMO/CTO championing the project internally. Change management facilitated by leadership, not tech team imposition.
Documented sales processes
Existing scripts, documented objection handling, clear qualification criteria. AI learns from best practices, not improvisation.
Team collaboration, not replacement fear
Sales team involved in AI training, ownership of process, clear value proposition of how it helps vs replaces them.
Data-driven culture
Clear baseline metrics, implementation tracking, optimization based on real numbers, not feelings or assumptions.
Implementation patience
Understanding that optimization takes 2-3 months, willingness to iterate based on real customer feedback and performance data.
Ready technical infrastructure
Updated CRM, clean data, available APIs, feasible webhooks. Solid technical foundation for integrations.
Could Your Company Be the Next Success Case?
Free fit analysis and potential ROI. If it's not a good fit, we tell you exactly why.
