Digital Audiences by DemandScience help marketers build and activate custom, persona-based audiences across major digital platforms like LinkedIn, Facebook, DV360, and The Trade Desk. This FAQ outlines the product’s purpose, value, key capabilities, and operational details to support internal enablement and customer discussions.
🎯 What is Digital Audiences?
Digital Audiences extends DemandScience's proprietary data—firmographic, technographic, contact, and intent—into actionable audience segments for media activation.
Key Destinations Include:
LinkedIn (persona-based)
Facebook
DV360
The Trade Desk
All major DSPs
📊 Why Did We Build This?
Many brand and agency clients want more control over their media execution and are hesitant to use DemandScience's managed media services.
✅ This product allows us to say “yes” to data-only opportunities.
🎯 What Makes Us Different?
Unlike competitors that offer limited data types or rely on co-op models, we provide:
Combined account, contact, intent, technographic, and behavioral data
Proprietary data already used in CS/Lead Gen programs
Activation-ready audiences built on PII (personally identifiable information)
💸 How Is It Priced?
Three common models:
CPM-based pricing: $1.25–$3.00 depending on volume
% of media: Typically 15%–8% based on channel mix and spend
Subscription: Rare; negotiated after significant usage
⚠️ CPM vs. % of Media: % of media is preferred for variable cost placements (e.g., video vs. display)
📐 Targeting Capabilities
Digital Audiences:
Built on hashed emails, mobile IDs, and cookies
Highly granular filters: job title, function, industry, tech stack, intent signals
Minimum recommended audience size: 30,000
Managed Media (Internal):
UID2 adoption underway for equal granularity
Maintains flexibility for broader targeting
🔄 Operational Questions
How quickly can we activate?
Typically within 24–48 hours after audience delivery.
How often are audiences refreshed?
One-time or monthly, depending on the campaign.
Can audiences be automatically updated?
Yes — recurring syncs can be scheduled.
Are we compliant?
Yes — fully compliant with GDPR, CCPA; data is hashed/anonymized where needed.
💼 Use Cases & Benefits
Ideal for:
ABM & pipeline acceleration
Lead gen & event air cover
New product launches
Retargeting
Vertical-specific outreach
Benefits:
Higher click-through rates
Better cost-per-lead
Improved targeting and lower media waste
🤔 Common FAQs
Q: Can I use this to target niche job titles?
A: Yes — we can build highly specific audiences, even for hard-to-reach roles.
Q: Can I retarget audiences already engaged?
A: Yes — including via CRM data or website behavior.
Q: Can you build audiences off my current CS campaign?
A: Absolutely — this is one of our core use cases.
Q: How does your intent data differ from Bombora or ZoomInfo?
A: We combine direct observation, ML, and third-party data. Bombora relies on cooperative content consumption, limiting scale.
Q: How does this compare to LinkedIn native targeting?
A: LinkedIn relies on user-submitted profile info. We add real-world business activity, intent, and tech signals for higher precision.
📈 Performance & Reporting
Typical match rates: 45%–65%, varying by platform
Higher match rates on Facebook/LinkedIn with email-based IDs
We do not provide campaign performance reporting — that’s managed by the media buyer
A/B testing supported via data-type segmentation, control groups, and more
🧠 Best Practices
✔️ Start with audiences 30K+ for scale
✔️ Sync regularly to keep audiences fresh
🚫 Don’t use audiences that are too narrow or underfunded
🧠 Pro Tip: Layer intent + job title for best precision and match rate
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