How much time should I budget?

About 3 hours total, a working session and a review call. We do the heavy lifting.

What if I only want the roadmap, not the build?

That's the Campaign Repositioning Sprint. Ship it yourself, or upgrade to Done-For-You later.

Do you interview my customers?

Optional. We can mine your call recordings, reviews, and won/lost notes instead.

B2B teams spending $20K+/mo on ads whose demos aren't converting.

Book a 30-minute call. We'll tell you straight if it's a fit.

dltHub: who they sell to, and their live ad presence

dltHub sells an AI-native, agentic data engineering platform to data teams that need to build, deploy, monitor, and govern data pipelines at scale without being constrained by the connector limits of GUI-based ETL tools. Their buyers feel the pain of paying for both an ETL vendor and the engineers who hand-code the sources it cannot reach, and they need pipelines that are auditable, schema-governed, and extensible by AI coding agents. They serve a wide range of segments including analytics consultancies, financial services firms, life sciences organizations, and any data-intensive company running Snowflake, Databricks, BigQuery, or Microsoft Fabric.

Who dltHub sells to

Data Engineers, Senior Analytics Engineers, Data Platform Leads, and CTOs or CPTOs at companies with active data teams who are frustrated that their current ETL or ELT tool lacks connectors for enterprise sources like Oracle, SAP HANA, or IBM DB2, forcing them to pay for both a SaaS ingestion tool and custom engineering work. The sweet-spot accounts are mid-market to enterprise organizations in financial services (needing SR 11-7, SOX ITGC, BCBS 239 compliance), regulated life sciences (GxP, 21 CFR Part 11, GAMP 5), analytics consulting firms managing pipelines for multiple clients, and any data-intensive company adopting AI-assisted or agentic engineering workflows. The core trigger is the compounding cost and fragility of maintaining bespoke pipelines alongside a GUI ETL tool, combined with pressure to let AI coding agents (Claude, Codex, Cursor) own more of the pipeline authoring and repair loop.

Buyer and segments

Data Engineers
Analytics Engineers
Data Platform Leads
Financial Services
Life Sciences
AI-native data teams

Live ad presence

We checked the LinkedIn and Google ad libraries and found no live ads we can read for dltHub right now. When they run ads, AdRoast scores each one against the buyer above.

Score dltHub’s ads against this buyer on AdRoast.

Learn the method: the AdRoast guides cover how to audit ads against your ICP and how to run an ad teardown.