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Google Cloud Software / SaaS San Francisco, California

Demandbase

Marketing Personalization · Real-time Analytics

Demandbase needed to automate B2B campaign execution, speed creative production, and give advertisers more direct access to performance insights without depending on slow manual handoffs to customer-success teams.

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Reduced Demandbase’s internal campaign load to 33%
cuts campaign management time by 50%

Reported impact

Business outcome

Demandbase reduced campaign-management effort, accelerated creative production, and gave advertisers self-service access to ROI and campaign insight instead of routing every question through internal teams.

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

Demandbase expanded its account-based advertising platform on Google Cloud by combining BigQuery with generative creative and embedded analytics. BigQuery serves as the warehouse for AI and reporting workloads across the DSP. On top of that data layer, the company built a Creative Suite with Gemini 2.5, Imagen 3, and Gemini platform so B2B advertisers can generate personalized assets in minutes or seconds instead of months of manual production. JourneyIQ automates full-funnel optimization by adjusting targeting, creative, and budgets based on an account's real-time stage. For measurement, Looker Embedded Analytics and Looker's semantic model are integrated with Gemini so customers can ask natural-language questions about spend, performance, and ROI inside the product. The architecture ties data warehousing, content generation, optimization, and conversational analytics into one advertiser-facing system.

Data flow

Advertiser and campaign data lands in BigQuery, where JourneyIQ and other platform services use it to optimize budgets, targeting, and creative. Gemini 2.5 and Imagen 3 generate campaign assets, while Looker Embedded Analytics and Gemini expose campaign results and ROI in a natural-language interface inside the DSP.

Solution architecture

6 components · 4 layers
  1. Compute
    • Gemini 2.5 Generates personalized B2B campaign content and supports creative-production workflows.
    • Imagen 3 Produces campaign creative assets as part of Demandbase's new DSP Creative Suite.
  2. Storage
    • BigQuery Acts as the warehouse foundation supporting Demandbase's AI, optimization, and analytics capabilities.
  3. Serving
    • Looker Embedded Analytics Delivers campaign metrics and performance dashboards directly inside the DSP.
    • Looker Supplies the semantic model that Gemini uses for natural-language access to advertiser metrics.
  4. Orchestration
    • Gemini platform Hosts the generative-AI services that power the Creative Suite and other DSP intelligence features.

Architecture clues

  • BigQuery serves as the data warehouse for all AI and analytics capabilities
  • JourneyIQ dynamically adjusts targeting, creative, and budget based on real-time account stage
  • Looker Embedded Analytics and Looker's semantic model are integrated with Gemini
  • The DSP Creative Suite is built with Gemini 2.5, Imagen 3, and Gemini platform

Evidence from the source

BigQuery serves as its data warehouse, providing a robust data foundation that supports all the product’s AI and analytics capabilities.
JourneyIQ optimization for the DSP automates full-funnel campaigns, dynamically adjusting targeting, creative, and budget
The DSP’s new Creative Suite, built with Gemini 2.5 Imagen 3, and Gemini platform
allowing users to interact with their data using simple conversational prompts.
with Google Looker Embedded Analytics, B2B advertisers gain direct access to their campaign metrics and performance dashboards within the DSP.
Transparency Evidence & methodology 95/100 reference value · 79% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value95/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    2 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence79%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Google Cloud

    Demandbase customer story

    First-party
    https://cloud.google.com/customers/demandbase
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Aug 29, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
  • Sitemap last modified Oct 9, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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