Gandiva
A signal-led, channel-agnostic demand generation framework. Automation handles distribution and signal capture. A human operator takes over the moment intent appears. High-ticket deals do not close through sequences.
The Name
In the Mahabharata, Gandiva is not a weapon. It is a presence. The divine bow forged by Brahma, passed through Varuna, carried finally by Arjuna. It holds within it the sound of inevitability. When Gandiva is drawn, the twang does not signal a shot.
It signals the end of the question of whether a shot will land.
Armies heard it from across the battlefield and already knew. Not from the arrow. From the sound alone. The resonance that arrives before the result. That is the nature of Gandiva. Not force, but precision deployed with such completeness that opposition collapses before contact.
"The twang of Gandiva filled the four cardinal points and the subsidiary ones too, as also the sky and the whole earth."Mahabharata, Udyoga Parva
We named this framework after that bow. Because signal-led demand generation, done correctly, works the same way. The market hears you before you reach them. Intent is already in motion by the time an operator picks up the conversation. The twang precedes the close.
The Problem Gandiva Solves
Most B2B GTM teams operate on channel logic: they pick a channel (LinkedIn, email, paid search), build a sequence, and measure response rates. The underlying assumption is that volume and consistency will surface buyers.
This assumption fails for high-ticket, relationship-driven sales. Typically anything above £10K ACV, because the buying decision is made by multiple stakeholders over a long consideration window. No sequence closes a six-figure deal. A human conversation does.
The real job is not to convert through automation. It is to identify the moment of intent and put the right human in front of it. Gandiva is built around this job.
Strengths and Weaknesses
Strengths
- Highest conversion rates of any GTM approach at high ACV. Operator-led close consistently outperforms automated sequences above £10K.
- Channel agnostic. Works regardless of where your buyers spend attention because the signal layer abstracts the channel.
- Self-improving. Every closed deal and every missed signal feeds back into threshold calibration. The system gets sharper with use.
- Low minimum viable cost. A functional Gandiva stack runs on $200-400/month in tooling.
- Works in regulated industries where paid reach is restricted. Signal capture does not require ad spend.
Weaknesses
- Requires operator availability. Signal routing only works if a human can act within the right window. Slow response defeats the system.
- Not suited for low ACV. Below £3K deal size, the economics of operator-led close do not hold against volume-based approaches.
- Signal mapping takes 60-90 days to calibrate. Expect noise in the early phase. Patience is part of the implementation.
- Depends on content and distribution running in parallel. Without a presence generating signals, there is nothing to capture.
- Does not replace pipeline volume. Gandiva improves conversion rate, not top-of-funnel size.
B2B vs B2C
B2B
Primary use case
Native. Designed for multi-stakeholder, high-consideration B2B sales cycles where relationship precedes purchase.
Signal sources
LinkedIn engagement, content consumption, website visitor ID, community participation, job postings, funding triggers.
Operator role
Account executive or founder handles the human handoff. Conversation is consultative, not scripted.
ACV floor
£10K minimum for viable unit economics. Works best at £50K and above.
Timeline to first close
60-120 days. Signal calibration phase precedes consistent operator engagement.
B2C
Primary use case
Limited. Works for high-consideration B2C: luxury, financial products, property, private healthcare. Does not apply to mass-market.
Signal sources
Email engagement, site behaviour, quiz or assessment completion, social listening on intent-rich communities.
Operator role
Sales consultant or advisor replaces account executive. Conversation is advisory and trust-building.
ACV floor
£2K+ consumer purchase or recurring value above £500/yr. Below this, automation outperforms the cost of operator time.
Timeline to first close
30-60 days for high-consideration B2C. Consumer decision windows are shorter but still multi-touch.
Project Scenarios
B2B SaaS, £40K ACV, 6-month sales cycle
A Series A SaaS company selling workflow automation to mid-market finance teams. Multiple stakeholders, long evaluation period, no established sales motion.
Outcome
Operators alerted to 12 accounts per month at threshold. 4 converted to qualified pipeline per month. Operator-led close rate: 38%. Pipeline velocity 40% faster than previous outbound-only motion.
Professional services, £80K project value, relationship-driven
A management consultancy selling transformation programmes to enterprise. No paid media budget. Sole reliance on referrals and founder reputation.
Outcome
3-5 operator-initiated conversations per month from warm signals. Conversion to proposal: 60%. Previous cold outreach conversion to proposal: 8%. No paid media spend required.
How It Works
Signal Mapping
Before any channel is activated, map the signals that indicate genuine buying intent in your category. These are behavioural: repeated content consumption, competitor research, job posting patterns, funding announcements, team expansion signals. Not demographic. Behavioural.
Channel-Agnostic Distribution
Content and presence are distributed across wherever your buyer spends time: LinkedIn, newsletters, communities, podcasts, search. The channel is a vehicle for signal capture, not the strategy itself. Automation handles scheduling, publishing, and basic engagement monitoring.
Signal Capture Layer
Set up lightweight infrastructure to catch intent signals: content engagement tracking, community participation monitoring, website visitor identification (where compliant), and social listening for category triggers. Tools: Clay, Apollo, Trigify, and native platform analytics.
Human Operator Handoff
When a signal cluster exceeds threshold, multiple indicators from the same account within a defined window, a human operator receives the alert and initiates direct, personalised contact. No more sequences. The automation's job ends here. The operator's begins.
Feedback Loop
Every operator conversation feeds signal quality data back into the mapping layer. Which signals preceded genuine intent? Which were noise? The system improves with use. Over 90 days, signal-to-conversation ratio typically improves by 40-60%.
Implementation Starter Kit
You don't need a full stack to start. This is the minimum viable Gandiva setup for a small team:
Signal capture
Clay + LinkedIn Sales Nav + Trigify
Content distribution
Buffer or native scheduling
Intent threshold tracking
Notion CRM or Attio
Operator alert
Slack webhook via Zapier or N8N
Website visitor ID
Clearbit Reveal or RB2B (US/UK)
Community listening
Trigify + manual Slack/Discord monitoring
Total cost at starter tier: $200-400/month. No enterprise contracts required to validate the model.
Research & Primary Sources
Traditional B2B Sales and Marketing Are Becoming Obsolete
Brent Adamson on why the linear marketing-to-sales handoff fails modern B2B buyers.
2024 B2B Buyer Behaviour Report
Documents the 6-10 stakeholder buying journey and the death of single-thread selling.
Jobs to Be Done Theory
The demand-side framework behind how Gandiva maps buyer intent to function, not persona.
Intent Data: The New Currency of B2B Marketing
Research on first- and third-party signal capture and its impact on pipeline velocity.
Product-Led Growth vs Sales-Led Growth
Context on when operator-led GTM outperforms automated PLG approaches.
Practitioners Who Think This Way
Lenny Rachitsky
GTM strategy, B2B growth
Consistently covers the human-in-the-loop moment in high-ACV sales cycles.
Kyle Poyar
Pricing and GTM
Growth Unhinged: demand signals and how modern GTM teams respond to intent.
Chris Walker
Demand generation
The practitioner most aligned with signal-led, dark funnel demand generation thinking.
MJ Peters
B2B content and demand
Covers the operational side of capturing demand signals across content and community.
Implemented Gandiva and want the full engagement?
We operationalise this for you end-to-end.