Data pipelines and warehouses
Bring marketing and customer data into one place for analysis. Levered builds the connections, transformations and checks that keep reporting usable as the data changes.
A 78× ad return left the acquisition question unanswered
The distributor’s brand-search campaign reported a 78× return. But a returning customer searching the company name counted like a first-time buyer. We matched paid visits to the order system to separate the two before reallocating spend.
Across matching April–July windows, new-customer orders linked to paid visits rose from 22 in 2025 to 83 in 2026. Associated revenue rose from $15,756 to $26,849. Existing customers still accounted for most of the business; the new reporting made acquisition visible within it.
Anonymized partner-delivery engagement. Matched paid-visit attribution, not proof that advertising caused every order. Equal four-month windows; small starting base.
Read the case study and measurement contextNew-customer orders linked to paid visits
Monthly average · April–July in each year
What the work involves
Scope of work
- 1.Map sources and keys
- 2.Build repeatable data transformations
- 3.Document freshness, joins and quality checks
What we need to begin
- 1.Source access, identifiers and business definitions
How we evaluate progress
- 1.Reliable refreshes, join quality and reproducible reporting
What you get
- A source and transformation specification
- Repeatable data models or pipeline jobs
- Freshness, join-quality and recovery checks
- A joined customer record is not automatically causal attribution. Source permissions, retention and identifier quality constrain the analysis.
Where we might start
Join one marketing source to the relevant business record and document how identity, time windows and missing records affect the answer.
Common questions
What if the ad platform and warehouse disagree?+
Reconcile windows, identities and attribution rules before choosing a number. Preserve what each source actually measures and show the remaining gap.
How do we know a refresh is trustworthy?+
Check completeness, freshness and stable definitions, then inspect unexpected changes. A clean job exit proves execution, not that the resulting business metric is correct.
Related services and evidence
Systems & measurement
Connect your campaigns, CRM and reporting so you can see what happens after a click or inquiry. Levered builds tracking, integrations, data pipelines and dashboards.
Ad operations and campaign QA
Keep campaigns organized and checked before they run. Levered handles campaign setup, naming, tracking checks and launch QA, then monitors delivery for issues.
Marketing analytics, attribution and reporting
See which marketing activity leads to inquiries, customers and revenue. Levered connects your data and builds reporting around the decisions your team needs to make.
Conversion tracking and pixels
Track the actions that matter after someone visits your site. Levered configures events, pixels and conversion imports, then checks that the records reach the right systems.
Paid Search for a PE-Held Distributor: +277% New-Customer Orders
An industrial distributor separated first orders from repeat purchases in paid-search reporting. Across matching April–July windows, new-customer orders linked to paid visits increased from 22 in 2025 to 83 in 2026, from a small starting base.
Let’s talk about what you need
Tell us what you need to change. We’ll talk through the work and whether Levered is a fit.
Book a callRather talk? Call (310) 745-0014 anytime.