Inbound and
ABM Support

We already run ABM campaigns - what would actually change by working with Strivenn?

Most ABM programs target the right accounts with the wrong message - or no positioning foundation underneath. Strivenn rebuilds the connection between customer insight, positioning, content, and outreach so every touchpoint is grounded in what actually moves your buyers. You get ICP-to-account selection logic, account-specific narratives, a channel sequence plan, and a weekly operating rhythm with clear metrics. One client saw 9X more MQLs in nine months after those pieces connected. This isn't a campaign refresh - it's a system that compounds over time.

How does this actually help sales close deals - not just generate more top-of-funnel noise?

Enablement is built into the system from day one. Strivenn delivers battlecards and talk tracks tied directly to your positioning and the objections your buyers actually raise - surfaced ahead of time using PersonaAI. They also integrate Humantic AI Personality AI to optimise outreach by buyer communication style. Sales doesn't get a pile of MQLs they can't qualify - they get accounts with context, narrative angles, and tools to close. The whole point is pipeline that converts, not activity metrics that look good in a report.

We're a small team with limited bandwidth - how much of this execution falls on us?

This is designed for resource-constrained life science teams. Atlas, the AI content engine, takes a single brief and produces a full content kit - emails, social posts, ads, decks, booth copy - all aligned to your approved positioning and claims. PersonaAI validates messaging before it ships so you're not iterating endlessly. Strivenn sets the weekly operating rhythm, defines the metrics, and builds the sequences. Your team stays in the loop on approvals and strategy, but execution load sits with Strivenn, not your already-stretched marketing person.

What proof do you have this works for companies in our life science niche - not just generic B2B?

Strivenn works exclusively with life science companies and has supported 40+ brands including blue-chip and scale-up clients. One client went from zero to 5,500 organic monthly visits in 36 months through their inbound engine. Another achieved 9X more MQLs in nine months. Their founder holds a PhD and MBA, they're BSI-certified in AI governance (ISO 42001), and they're a recognised HubSpot Solutions Partner. This isn't general marketing consulting - it's built for scientific buyers and technical decision-makers who interrogate every claim.

How does PersonaAI reduce risk before we commit budget to a campaign?

PersonaAI lets you test messaging, headlines, and value propositions against synthetic customer profiles before anything ships. It surfaces objections your sales team would otherwise hear live - giving you a chance to refine positioning, adjust language, and pressure-test claims in advance. For life science companies where regulatory precision and scientific credibility matter, this means fewer misfires, faster iteration cycles, and content that lands with researchers and procurement committees the first time, not the third.