dbt Summit — the dbt Labs conference known until recently as Coalesce — is a practitioner conference with a buying layer hiding in it. Analytics engineers will smell a booth script. Platform heads and CDOs of dbt-native teams will take a meeting if you qualify like a peer. The show is smaller than Summit or Olympia, which is an advantage: fewer badges, higher density, no excuse for an unfiltered aisle. Yuki Technologies left Las Vegas with 63 SQLs and $890K in pipeline using that motion.
Who Attends dbt Summit? Key Companies & Main ICP Titles
dbt-native data teams: analytics engineers, staff data practitioners, heads of data platform, CDOs who bet on the transformation layer. Companies are often modern data-stack shops — Snowflake, Databricks, BigQuery — which is why this page lives next to Snowflake Summit and Big Data London in the data hub.
Many attendees are individual contributors who shape tool choices without owning the budget. Their managers — heads of data, analytics engineering leads, and data platform owners — are fewer but present. A good plan targets both: champions for influence, leaders for pipeline.
Primary Target ICPs & Decision Maker Roles
Primary: Head of Data Platform, Head of Analytics Engineering, CDO of a dbt shop. Influencers: staff analytics engineers who choose packages and tools. Disqualify: community tourists and competing ISVs doing recon.
Target heads of data, analytics engineering managers, and data platform owners at companies where dbt is central to the stack. Senior individual contributors are valuable champions; note them, then ask who owns the decision.
Company Profiles & Industry Verticals
SaaS, fintech, marketplaces, and digital-native enterprises. If they do not run dbt, they are probably in the wrong hall — or they are evaluating whether to. Tag that explicitly.
What People Are Looking for at dbt Summit
Better workflow, less model sprawl, a governance story that does not insult the community, tools that sit cleanly on the warehouse. They are not looking for a “data platform” that ignores dbt.
People come to learn from peers, to see the dbt roadmap, and to find tools that remove friction from their daily work. The buying signal is usually a growing project that has outgrown its current setup, or a governance and cost problem that leadership has asked the team to solve.
Core Pain Points & Industry Challenges
Project sprawl, CI pain, ownership between data and analytics, cost of warehouse compute driven by bad models, observability gaps. Ask which dbt project they are afraid to touch.
Listen for projects that have grown past a few hundred models, slow or costly runs, unclear ownership of data quality, and governance requirements coming from leadership. These are the moments when a team starts evaluating new tools.
Evaluating Solutions vs. Networking
Community is the event. Evaluation happens if you earn it. Audience Experts should be allowed to talk shop and then hand off. AEs should not open with a discovery framework that sounds like MEDDIC on a community member.
Most people are here to learn and connect, so let conversations start there. Evaluation happens when someone mentions a specific problem their team is trying to solve this year. That is the moment to ask the second question.
How to Stand Out at dbt Summit
Contribute, then qualify. A useful demo, an honest limitation, an Audience Expert who knows what a ref() is. Then the same filter as every other show we run.
Pulling Quality Foot Traffic
Small hall, high density. Aisle presence matters more than LED. Yuki at Coalesce logged 63 SQLs because the Audience Expert connected strategy to attendees instead of waiting at a table.
Give the community something useful: a short technical talk at the booth, a real answer to a modeling question, or a resource they can take back to their team. Keep the Audience Expert close to that conversation so interested people get qualified without feeling sold to.
Differentiating Your Message
Speak transformation-layer jobs. If your product is warehouse-adjacent, say where you sit relative to dbt. Vague insight language dies here.
How to Empower AEs & SDRs at dbt Summit
Send the AE who can survive a modeling conversation or pair them with an SE. Brief community norms. SDRs log; they do not pitch the Slack culture.
Pre-Event Meeting Booking Strategy
Named dbt Cloud customers in-cycle. Keep the calendar light; hunt is the point of a small show.
Reach out to target accounts a few weeks before the show with an offer that respects the community — a technical conversation, a review of their project structure, or a chance to meet an engineer. Book those meetings, then leave space for the qualified people the Audience Expert finds on the floor.
Fast Qualification & Smart Data Tagging
Warehouse of record, dbt Cloud vs. Core, who owns the project, replacement this year yes/no. Influencer vs. buyer tag is mandatory.
Tag every conversation as buyer, champion, or community. Report SQLs only from the buyer tier, but pass champions to the AE with a note — they are often the fastest route to the person who signs.
Booth Flow & Operational Support
Tiny footprint, always-on conversation, Audience Expert in the aisle. Do not build an island for 3,000 people.
Keep the space small and conversational. An engineer who can answer real questions, an Audience Expert at the edge filtering for buyers, and an AE available for handoffs is enough for a show of this size.
A Day at dbt Summit with an Audience ExpertComposite
An illustrative composite of how BINGOrep briefs and runs this floor — not one client's story.
dbt Summit — the show formerly known as Coalesce — is a community event first. Analytics engineers can tell a booth script from a real conversation in one sentence. A composite of how an Audience Expert works that room:
Morning: Talking Like the Community
The Audience Expert has learned enough of the language — models, packages, tests, the pain of a project that grew too fast — to hold a real conversation. She opens by asking what someone is working on, not by naming a category. Most answers are pure community talk, and she treats them warmly. The few that mention a platform decision, a budget, or a team that is scaling past its tools are the ones she follows up on.
Afternoon: Influencer or Buyer?
A staff analytics engineer loves the product but does not sign anything. The Audience Expert tags him as a champion and asks who owns the data platform budget. The answer is a head of data who is also at the show. She finds her after a session, qualifies in under a minute, and hands her to the AE with the engineer’s enthusiasm as the opener. That split — champion and buyer — is what turns a community show into pipeline, as the Yuki Technologies case at Coalesce shows.
dbt Summit ROI & Pipeline Realities
Smaller spend, high density, easy to over-count community chats as SQLs. Hold the definition. 63 SQLs and $890K is an Audience Expert-led bar, documented in the Yuki Coalesce case.
Calculating Event Pipeline vs. Total Spend
Fully load Vegas even for two days. Compare coverage against Summit. For dbt-native products this show often wins on pipeline-per-dollar. Model it in the deployment estimator.
This is a smaller, cheaper show than the big platform summits, so the cost per SQL can be strong if the definition holds. Resist the temptation to count friendly community chats as pipeline; the number will not survive the next forecast call.
Post-Event Follow-Up Operations
Same-day, human, technical. Community members who were tagged as influencers get a useful note, not a sequence. Buyers get a date.
Follow up the same day with something useful — a resource related to what they said, or a link to the engineer they met — and a single suggested next step. Community members respond to value, not to sequences.
Frequently asked questions
Is dbt Summit (Coalesce) a pipeline show or a community show?
Both. Tag influencer vs. buyer or you will lie to yourself. Forecast buyers. Treat influencers as a long path.
Do we need dbt fluency on the booth?
Yes, at least at qualify depth. An Audience Expert who cannot hear project-sprawl language will hand the AE noise.
How many people should we send to dbt Summit?
An Audience Expert, a closer, optionally an SE. Overstaffing a small community show looks like an invasion.
How did Yuki generate 63 SQLs at Coalesce, the show now called dbt Summit?
An Audience Expert who connected the strategy to attendees, qualified in real time, and handed off — not a waiting booth. Read the case study.
Should we also do Snowflake Summit?
If you sell to warehouse teams, yes. Share the qualification system; change the aisle sentence.
Is dbt Summit the same event as Coalesce?
Yes. dbt Labs renamed its annual conference from Coalesce to dbt Summit. The audience and the field marketing motion are the same, so this guide covers both names.
How do we avoid sounding salesy at dbt Summit?
Lead with the attendee’s work, not your category. Audience Experts are trained to open with curiosity, speak the community’s language, and qualify gently with two questions before handing off to an AE or SE.
Explore related events & proof
- Industry hubData & Analytics events hub →
- Sister showBig Data LDN guide →
- ProofYuki Technologies LTD at Coalesce Las Vegas: 63 SQL delivered, $890K Pipeline created →
- In the Conference Floor Menudbt Summit 2026 (formerly Coalesce) →
- Operating choiceEngagement Specialists vs. booth staff →
- Operating modelHow BINGOrep runs a show →
- Model the spendDeployment estimator →
- Sister showSnowflake Summit guide →
We don't give your brand a table. We give it a showstopper.
Tell us the show, the ICP and the quarter. We come back with a deployment plan, the Audience Experts who will run it, and the SQL definition we will be measured on.