Revenue Strategy
Choose where to grow. Connect markets, customers, value and the commercial organisation.
Explore sessionsTHE 2027 PROGRAMME
Building the AI-Native Revenue Engine
Revenue Strategy · Revenue Execution · Revenue Intelligence
A CONNECTED PROGRAMME
Choose where to grow. Connect markets, customers, value and the commercial organisation.
Explore sessionsTurn plans into performance. Improve prospecting, deal execution, coaching and customer growth.
Explore sessionsTurn evidence into action. Explore data, forecasting, AI and customer signals.
Explore sessionsPROPOSED 2027 PROGRAMME
These themes sit within one main-stage programme. Order, timings and speakers will be announced.
Choose a pillar to explore its sessions.
Revenue Strategy
Align sales, marketing, customer success and RevOps around shared priorities. Clarify ownership, resolve competing incentives and establish accountability across the customer lifecycle.
Revenue Strategy
Turn frontline management into a source of better performance through focused coaching, useful deal reviews, clear expectations and timely intervention.
Revenue Strategy
Connect hiring, onboarding, skills development and career progression to the capabilities your growth plan requires. Define what good performance looks like at each stage.
Revenue Strategy
Translate strategy into territories, ownership, workflows and shared measures. Remove friction between teams and establish operating routines that support consistent execution.
Revenue Strategy
Assess the relationships between capacity, ramp time, conversion, retention and cost-to-sell. Decide when to add people, improve processes or invest in technology.
Revenue Strategy
Evaluate technology against real workflows, adoption and measurable outcomes. Reduce duplication and design a connected stack that helps teams serve customers and sell effectively.
Revenue Execution
Explore buyer behaviour, commercial pressures and routes to market across Asia—and what they mean for targeting, relevance and pipeline creation.
Revenue Execution
Translate growth ambitions into clear choices about markets, customer segments and buying problems. Focus prospecting on accounts where your organisation can deliver distinctive value.
Revenue Execution
Connect revenue goals to pipeline coverage, opportunity quality and realistic conversion assumptions. Identify gaps early enough to change the outcome.
Revenue Execution
Align sales and marketing around target accounts, qualification, handovers and shared revenue measures. Build a coordinated path from initial interest to qualified opportunity.
Revenue Execution
Combine account research, buying signals and AI-assisted preparation with human judgement. Create relevant outreach and measure whether it produces worthwhile conversations.
Revenue Execution
Examine what makes a buyer respond: credibility, curiosity, commercial insight and a clear reason to engage. Turn those principles into practical prospecting habits.
Revenue Execution
An operator walks through a real discovery example: uncovering the problem, quantifying its impact and helping the buyer decide whether change is worth pursuing.
Revenue Execution
Navigate buying committees, regional and local stakeholders, procurement and internal consensus. Build champions who can advance the decision when you are outside the room.
Revenue Execution
Connect your offer to executive priorities, financial outcomes and business risk. Build a concise value case that earns attention and supports an investment decision.
Revenue Execution
Distinguish seller activity from buyer progress. Use qualification, decision criteria and mutually agreed next steps to expose stalled opportunities and improve deal execution.
Revenue Execution
Prepare for procurement pressure, understand each side’s priorities and trade concessions deliberately. Protect commercial value while reaching agreements customers can support.
Revenue Execution
Connect sales handovers, adoption and account planning to measurable customer outcomes. Use value delivered to support retention, expansion, cross-sell and advocacy.
Revenue Intelligence
Build forecasts from buyer evidence, deal quality and realistic conversion assumptions. Use inspection and risk signals to identify where intervention can change the result.
Revenue Intelligence
Agree definitions, improve data quality and connect customer information across systems. Establish reliable inputs for performance reporting, forecasting and AI-supported decisions.
Revenue Intelligence
Combine conversation insights, win/loss analysis and customer feedback to improve targeting, messaging and account priorities. Translate patterns into specific commercial actions.
Revenue Intelligence
Explore how people, AI agents and automation can work together across the customer lifecycle. Define responsibilities, human oversight and the workflows worth redesigning first.
Revenue Intelligence
Assess AI initiatives against a clear baseline, full costs and measurable results. Examine productivity, pipeline quality, conversion and customer outcomes before deciding what to scale.
Revenue Intelligence
Bring the six chapters together into a practical 90-day plan: choose priorities, assign owners, define success measures and decide what to start, stop or improve.
IN THE CONVERSATION
What does AI actually change about how revenue gets built?
A supporting editorial thread across the programme: useful workflows, human judgement and outcomes worth measuring.
SINGAPORE · 2027
A day for the people shaping how Asia grows.