Impact:
☞ $300K+ in inbound pipeline per month consistently.
☞ 150+ inbound demo requests per month, accelerating sales.
☞ Automated GTM ops, reducing manual effort and enabling sales teams to focus on revenue.
How a B2B SaaS AI platform Built a $300K+ Monthly Inbound Pipeline & Automated CRM tasks?
Overview:
A leading AI video personalization startup wanted to build a sustainable inbound pipeline, optimizing sales operations. As an early-stage company, they needed rapid experiments to test channels for the go-to-market (GTM) engine to drive revenue, increase inbound demo requests, and streamline sales efficiency.
JOB SUMMERY
Industry:
AI-Powered Video Personalization
Company Size:
Startup (Seed Stage)
Solution Areas:
Demand Generation, Sales & Marketing Automation
Challenges:
- Creating a Predictable Inbound Pipeline – Cracking GTM for an early-stage SaaS is challenging, chaotic, and full of uncertainties.
- Manual Sales Ops Processes – A seed stage startup lacks resources and protection of every team member's bandwidth is paramount to make the GTM work. Lots of SDRs & AEs spend excessive time updating CRM instead of selling which can be fatal for the productivity of early stage startups.
- Efficient Acquisition Channels – For an early stage startups that is just launching its GTM, finding the right channel mix and scaling them is a big challenge. Failing to find the right mix can lead to unpredictable ROI, wasted budget, and leads to inefficiencies in scaling.
Solution:
- Demand Generation Engine: Built a multi-channel strategy combining SEO, paid ads, content marketing, and media buying.
- Sales & Marketing Automation: Automated 90% of repetitive CRM tasks, including lead routing, deal tracking, and reporting to enable the sales team to focus on closing.
- Performance Marketing Optimization: Consistently achieved a 14%+ CTR and 18%+ conversion rate on Google Ads, driving an 8x-10x ROI.
- Email Infrastructure: Set up high-deliverability email infra to make sure emails land in the inboxes.
