A twelve-month program to open $4.7M of net-new enterprise pipeline for Snowflake across Singapore, Malaysia, Indonesia, Thailand, the Philippines and Vietnam.
Snowflake is already winning in APAC. What the APJ commercial team may not have is a dedicated engine that puts senior data and AI leaders in a room before a rep ever gets a meeting.
Every platform vendor selling into the same CDO and CIO runs the identical outbound playbook: AI-written InMails, webinar invites, conference booths. It doesn't land. A peer-led room does.
NO BS is that engine. We convene senior data and AI leaders on the agentic-enterprise agenda, timed around Snowflake's own World Tour stops, PR and partner collabs to multiply reach, then convert them into named pipeline. For your APAC number specifically, this is a dedicated lane of net-new enterprise pipeline that doesn't depend on inbound or partner referral.
Your buyers, by seniority band
Projections
The fundamentals
The program at a glance
What you get
Target list. Named data and AI leaders, director and above, at 5,000+ employee firms across the priority markets.
The access. Senior, in-person sessions co-led by Snowflake and NO BS, built around the agentic-enterprise and AI Data Cloud agenda.
Meetings. Qualified 1-on-1s, tracked by name and stage in your CRM.
Reporting. A live dashboard of all activity, plus weekly progress meetings.
Why it works
Warm start. We already run this exact senior enterprise and technical-buyer motion regularly, so we hit the ground running.
The model. Give before you take: senior access peers can't reach on their own.
Validated. Proven with senior enterprise and technology leaders across the region, see the proof.
Conversion. 70% of participants to 1-on-1s; 40% of those to CRM opportunities.
Scale. ~4,800+ senior data and AI leaders across the six priority markets.
Why it's low risk
Cost. $6K per month for twelve months, a predictable, defined line item.
Payback. Snowflake grows on consumption, so first-year ACV is the floor. The six projected new customers are ~$900k in signed first-year ACV, 12.5× the $72k first-year fee, before any consumption expansion.
Phased. Priority markets first, expandable across the wider region once proven.
Transparent. Every name, stage and week visible, nothing in a black box.
Snowflake has the platform. The growth is in the rooms where the data-platform decision actually gets made.
A data-platform decision is wide and slow: CDO or CIO sets direction, VP Data sponsors, Directors evaluate and pilot. The net-new growth sits with that senior population, and it only opens up in a room they actually want to be in.
Those relationships are exactly what a regional commercial team, covering six markets and a full pipeline target, rarely has time to build. Every AI Data Cloud competitor is chasing the same CDO with the same story.
Why are these rooms hard to reach?
Every platform vendor is chasing the same CDO
Databricks, Microsoft Fabric, Google BigQuery, AWS Redshift and every systems integrator between them are running the identical outbound playbook at the same senior buyer. Another sequence does not land.
The AI pitch is loud, and everyone's making it
Every vendor now claims to be the "agentic enterprise" platform. A deck or a webinar doesn't cut through that noise; a real conversation with a peer does.
A regional team can't also run a senior-relationship program
Building senior data and AI relationships across Singapore, Malaysia, Indonesia, Thailand, the Philippines and Vietnam, week after week, takes dedicated time and local senior networks a quota-carrying commercial team rarely has to spare.
Give before you take.
Behind every senior enterprise technology deal that closes in this region is a high-level peer-to-peer relationship. You can't build that relationship by making asks, you need to offer something of value first.
Spearfish in a small elite pond, not hit-and-hope
Decision making in APAC is top heavy. A dozen of the right people in an intimate setting beats a thousand badge scans.
Reach out like a peer
A real message from a real peer, about something they care about. Not InMail, not AI-slop emails, definitely not cold calls.
Ride Snowflake's own momentum
World Tour stops, product launches, PR moments and partner collabs are built-in credibility. Time the room around them, and the invite carries Snowflake's own momentum, not a cold ask.
Offer something they want, not something you want to give
A real conversation on real issues with real peers. Not whitepapers, webinars or demos.
Share your point of view
Project credibility through your point of view, told through stories, experience and insight. No slide decks.
Earn the 1-on-1, never demand it
You've built credibility, authority and goodwill before your ask. The follow-up is more organic and more to-the-point because they already know and respect your point of view.
This isn't theoretical. We convene the exact senior rooms, then convert them.
Our playbook is seat-agnostic: convene the senior people you need to reach into a room they actually want to be in, then convert. Here is that motion working across clients, industries and geographies, including with founders and CTOs on a technical product. It is the same motion we would run for Snowflake with senior data and AI leaders.
Proof point
Future of creator marketing lunch in Singapore
Who we did it for: Serious Fluence, a creator-marketing company. We co-hosted the lunch with their CEO, Prem, on the future of creator marketing. See the post on LinkedIn ↗
The ICP in the room: senior leaders (director and above) from named target companies. The mechanic, convene the exact seat you need, then convert, is identical whatever the title on the badge.
Why it maps to Snowflake: same motion, different seat. We put a curated senior group in a room they wanted to be in, on a topic they cared about, then converted. It is the identical play we would run to open Snowflake's pipeline with CDOs, CIOs and data leaders across your priority markets.
In the room: peers across consumer brands, platforms and agencies.
More proof points
Integrate: CEO dinner event in Singapore
An evening for B2B marketing leaders, co-hosted with the CEO of Integrate, on the revenue impact of trusted marketing data. View the post on LinkedIn ↗
In the room:
ByteDance: outbound to AI founders and CTOs
No event here: a direct, peer-to-peer outbound motion we ran for ByteDance's BytePlus AI product. 30 meetings in 3 months booked straight into the calendars of founders, CEOs and CTOs at AI and technology companies, with 5 progressing to POC. Proof the same convene-and-convert discipline works with technical buyers, one on one, not just in a room.
Who we met:
Serious Fluence: Creator marketing lunch in KL
A private lunch in Kuala Lumpur, co-hosted with the CEO of Serious Fluence, for B2C marketing leaders, on creator marketing. View the post on LinkedIn ↗
In the room:
Gimmefy: Brand marketer lunch in Singapore
A lunch event in Singapore, co-hosted by the CEO of Gimmefy, for brand marketers navigating the shift to AI. View the post on LinkedIn ↗
In the room:
Your buyers: senior data and AI leaders at 5,000+ employee firms across six priority markets.
One buyer group drives the data-platform decision: data and AI leaders. We size them across three seniority bands, at firms with 5,000+ employees. The C-suite (CDO, Chief Data & AI Officer, CIO, CTO) sets the strategy and owns the platform call. VP Data & Analytics leaders scope and sponsor the move. Directors and Heads of Data evaluate, pilot and recommend. Non-overlapping bands, so they sum cleanly.
| Data & AI leaders | Priority 1Singapore, Malaysia | Priority 2Indonesia, Thailand, Philippines, Vietnam | Total |
|---|---|---|---|
| C-suiteChief Data Officer, Chief Data & AI Officer, Chief Analytics Officer, CIO, CTO | 467 | 734 | ~1,201 |
| VP Data & AnalyticsVP / SVP Data, Analytics, Data Engineering, Data Platform | 624 | 486 | ~1,110 |
| Directors & Heads of DataDirector / Head of Data, Analytics, Data Engineering | 1,500+ | 1,000+ | 2,500+ |
| Total senior buyers | ~2,591+ | ~2,220+ | ~4,800+ |
Methodology. LinkedIn Sales Navigator, September 2026. Current-title match, three non-overlapping seniority bands: C-suite, VP and Director/Head. Company size = 5,000+ employees, so this is the large-enterprise slice, not the whole long tail. Cells shown as a plain number are exact Sales Navigator counts; cells shown with a "+" are where LinkedIn caps the live display (the Director band), so read those as floors. Japan, Korea, China, Australia and New Zealand are out of scope here, sequenced separately once the priority-market motion is proven. Named, de-duplicated target lists per market are built on kickoff.
Priority markets. Priority 1: Singapore and Malaysia. Priority 2: Indonesia, Thailand, the Philippines and Vietnam. We open Priority 1 first, prove the motion, then roll into Priority 2, and, once proven, the wider region.
Where we'd start, and how fast.
The ICP puts a real number on it: roughly 4,800 senior data and AI leaders across six priority markets, at 5,000+ employee firms. Here is the sequence.
How we'd phase it across 12 months
Phase 1 (0-3 months): Singapore & Malaysia, the deepest and most accessible senior pool.
Phase 2 (3-8 months): Kick off Indonesia, Thailand, the Philippines and Vietnam as a second wave.
Phase 3 (8-12 months): Deepen the priority markets and expand the named account list as results land.
Within each phase, the motion:
- Find the right peopleBuild the named target list from the ICP: the exact data and AI leaders worth a room, at 5,000+ employee firms.
- Reach out like a peerReal messages from real people to the few who matter, not a sequence tool running on its own.
- Convene the roomSmall, senior, co-hosted sessions on the topics they care about, the agentic enterprise, data readiness for AI, and Cortex, the kind of room they actually want to be in.
- Earn the 1-on-1Every room converts into named 1-on-1s, and we sit in every meeting that matters.
- Live trackingDashboards on activity, conversion and deal progression in your CRM, so you always see the pipeline.
- Weekly updates with usA standing weekly check-in where we walk the numbers together and agree the next moves.
What the program is worth, in your terms.
NO BS takes full accountability for the top of this funnel. The defaults below reflect what we typically see, but move the sliders to your own numbers to get a real view of what this NO BS x Snowflake collaboration could produce.
Default sliders reflect our working estimate over 12 months: 12 rooms × 8 senior data and AI leaders is about 96 reached, 80% to a real 1-on-1 (77), 40% of those to a sales opportunity (31), about a 20% win rate on close (6). At a $150,000 average landed ACV that is $4.7M in pipeline and $900k of signed first-year ACV, roughly 12.5× the $72k in first-year fees, before any consumption-based account expansion. Move the sliders to your own numbers.
Operators, not consultants.
Most firms sell you a plan. We are the team that executes it, in the room, from month one.
Moving Asia from strategy deck to P&L.
More on NO BS ↗
NO BS is a sales execution firm that helps enterprises build pipeline and close deals across APAC.
We don't advise from the sidelines or theorise about markets, we work in them: running outbound, winning meetings, hosting sales conversations, building pipeline, closing deals and learning directly from buyers.
Yuri Bhanage, CEO
Led by CEO Yuri Bhanage, who brings 15+ years of hands-on sales experience in Asia, across SE Asia, China, India and the US, from Fortune 500 to seed-stage startups. Selling to enterprise clients like AIA, Accenture, EY, KPMG, Braze, Almosafer, American Express and New Relic. Connect on LinkedIn ↗
Most relevant here, Yuri has sold technical and data infrastructure directly to enterprise buyers, including New Relic, and personally ran the ByteDance BytePlus AI outbound motion into 30 founders and CTOs in three months, so the technical data-and-AI buyer and the way they evaluate a platform is familiar ground.
Rahul Gokhale, Director
Brings a senior operating perspective from large, complex organizations, with leadership roles at Microsoft, Zendesk, KPMG and Deloitte, giving him direct experience in the cloud, data and enterprise-software ecosystem Snowflake's buyers live in, across customer success, partnerships and transformation. Connect on LinkedIn ↗
Case studies
Serious Fluence
50 meetings in 3 months with senior B2C marketing leaders from the likes of Google, Airwallex, Samsonite and Estée Lauder.
ByteDance
30 meetings in 3 months with founders and CTOs for the BytePlus AI product, 5 progressing to POC stage.
WhyQ
Built an outbound enterprise sales motion from scratch, leading to a US$200K+ enterprise deal closed in the first 3 months.
Why NO BS
Results from month one
Outreach, meetings and pipeline building from day 1, landing in the first month, not after a long ramp.
Enterprise access, without the overhead
Reach the top levels of the enterprises you want, without investing millions in a market-development team to get there.
Results that count, not theories
Meetings, opportunities and deals, tracked by name. Not market theories or a strategy deck that sits on a shelf.
What we'd need from you.
We can get into a lot more detail from here, but four questions first.
- Do the projected outcomes align with your targets?
- What questions do you have on our approach?
- How big a priority is this for you?
- What budget can you allocate to achieve these outcomes?