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Cresva vs Hyros

Hyros tracks every touchpoint. Cresva acts on what gets tracked.

Both invest in attribution. Hyros optimizes for capture accuracy across complex journeys and high-ticket sales cycles. Cresva embeds attribution inside a workforce that also runs forecasting, scenario testing, and recap delivery.

CresvaCresva
HyrosHyros
Two architectures, two shapes of brand

Tracking-first vs. workforce architecture.

Hyros and Cresva both invest in attribution. The architectural difference is shape: Hyros's architecture is tracking-pixel-up, optimizing for capture accuracy and feeding the data back to ad-platform AIs. Cresva's architecture is workforce-up: a memory layer shared across seven agents that act on what's measured.

Hyros

Tracking pixel as the architectural primary

Hyros positions itself as tracking proven to increase ad ROI for the most complex attribution challenges. The foundation is a first-party tracking pixel; on top sit AI Attribution feeding ad-platform AIs, AIR remarketing agent, and multi-touch reconciliation for long sales cycles. (Per their marketing.)

Cresva

Workforce that acts on attribution

Cresva's foundation is a memory layer shared across seven agents. Parker reconciles attribution, Felix forecasts, Sam tests, Olivia briefs creative, Dex delivers. The same workforce that sees the attribution signal also reallocates budget and ships the recap.

Capability comparison

How each handles specific capabilities.

Foundation
Hyros

First-party tracking pixel as the architectural primary; positioned as the truth layer that everything else scales from.

(per their marketing)
Cresva

Memory layer shared across 7 agents; attribution signals flow through the workforce that also forecasts and acts.

Maya
Attribution
Hyros

AI Attribution feeds first-party tracked data into ad-platform AIs to improve targeting and bid optimization.

(per their marketing)
Cresva

Parker reconciles platform self-claim against extended-window attribution and ties results to the P&L.

Parker
Remarketing / activation
Hyros

AIR is a remarketing agent that recognizes visitors, obtains contact info, and enables personalized outreach from tracked behavior.

(per their marketing)
Cresva

Olivia briefs creative and tests hooks. Sam queues budget and reallocation playbooks. Cresva does not run a Hyros-style remarketing agent.

Olivia
Use-case fit
Hyros

Built around complex attribution challenges with long sales cycles; high-ticket coaching and info-product brands prominently featured (Tony Robbins, Hormozi, Skool).

(per their marketing)
Cresva

Built around DTC ecommerce on Meta, Google, TikTok, Shopify, Klaviyo, GA4. Cresva is not specialized for info-product / high-ticket coaching journeys.

Forecasting & testing
Hyros

Forecasting and incrementality / holdout testing are not the marketing emphasis; the platform centers on tracking and attribution.

(per their marketing)
Cresva

Felix runs Prophet/ARIMA forecasts with confidence intervals; Sam runs scenario tests inside the same workforce.

Felix
Pricing
Hyros

Tracked-revenue tiers; demo-gated pricing on their pricing page.

Source ↗
Cresva

Pilot-based, contact for full pricing.

What Hyros does well

Acknowledged strengths. Where Hyros earns its place.

Sourced to their public marketing.

Paid-ad tracking accuracy across complex journeys

First-party pixel and multi-touch reconciliation are built specifically for long, complex attribution challenges.

per their marketing

AI attribution feedback to ad platforms

Hyros pipes first-party tracked data back into ad-platform AIs for targeting and bid optimization.

per their marketing

AIR remarketing agent

Automated remarketing flows from tracked visitor behavior; visitor recognition and personalized outreach.

per their marketing

Built for high-ticket and info-product attribution

Tony Robbins, Hormozi, and Skool publicly featured; the platform is shaped around long sales cycles.

per their marketing
How Cresva approaches this

Architectural decisions that earn the difference.

Tracking accuracy is one shape. Cresva's shape is a workforce that acts on what gets tracked, with measurement as one of seven coordinated specializations.

Workforce as the action layer

Hyros tracks; Cresva's seven agents act on what's tracked. Parker's reconciled view feeds Sam's playbooks, Felix's forecasts, and Dex's recap.

Parker

DTC ecommerce focus

Curated core integration set: Meta, Google, TikTok, Shopify, Klaviyo, GA4. Built for ecommerce-shaped sales cycles, not info-product journeys.

Dana

Day-shaped delivery cadence

Morning brief, midday actions, end-of-day recap. The attribution signal lands inside a delivery rhythm, not a tracking dashboard.

Dex

Memory that compounds across the workforce

Maya writes outcomes back to the memory layer; the next decision reads what worked last quarter on this brand.

Maya
Honest fit

Which fits your shape.

Choose Hyros if
  • You sell high-ticket products with long sales cycles

    Info-products, coaching, courses with multi-week B2C journeys.

  • First-party tracking accuracy is your primary requirement

    Capture quality on complex journeys is the architectural strength.

  • Your team operates inside ad managers

    AI attribution feedback to ad-platform AIs fits ad-manager-first workflows.

  • Automated remarketing from tracked behavior is core

    AIR is purpose-built for that visitor-recognition-to-outreach loop.

Choose Cresva if
  • You want a workforce that acts, not just data that's captured

    Decisions made and shipped, not only surfaced in attribution reports.

  • Your shape is DTC ecommerce on the core ad platforms

    Meta, Google, TikTok, Shopify, Klaviyo, GA4 covers the surface.

  • Day-shaped delivery cadence fits how your team works

    Morning brief, midday actions, end-of-day recap.

  • You want forecasting and scenario testing in the same workforce

    Felix forecasts, Sam tests, Parker attributes - all sharing memory.

Common questions

Questions about Cresva vs Hyros

Both Hyros and Cresva measure attribution. What's actually different?

Architecture, not whether attribution is present. Hyros's architecture is tracking-pixel-up, optimizing for capture accuracy and feeding data back to ad-platform AIs. Cresva's architecture is workforce-up: a memory layer shared across seven agents that act on what gets measured. Same primitive, different shape.

Does Cresva match Hyros's tracking accuracy on long sales cycles?

No. Hyros is purpose-built for complex attribution challenges with long sales cycles, and high-ticket / info-product brands like Tony Robbins, Hormozi, and Skool are featured customers. Cresva's curated core integration set is built around DTC ecommerce shapes. If long-cycle, multi-touch B2C journeys are your shape, Hyros's architecture serves that need directly.

Does Cresva have a remarketing agent like AIR?

No. AIR is purpose-built for visitor recognition to outreach from tracked behavior; that's a distinctive Hyros capability. Cresva's workforce includes Olivia for creative briefing and Sam for budget playbooks, but no Cresva agent runs a Hyros-style remarketing flow. If automated remarketing from tracked behavior is core, Hyros's architecture fits that need directly.

When should I choose Hyros over Cresva?

If you sell high-ticket products with long sales cycles, if first-party tracking accuracy is the primary purchase criterion, if your team operates inside ad managers and benefits from ad-platform feedback, or if AIR-style remarketing is core to your activation, Hyros's architecture serves those needs directly.

What does the Cresva pilot look like?

14-day pilot structure. First reconciled view inside 48 hours after OAuth. Full compounding effect rolls in across the pilot. Architecture target: exact onboarding speed depends on data history and integration count.

Other comparisons

Other competitors we compare to.

Try Cresva

See the workforce architecture on a single brand account.

If the workforce architecture earns its place inside the 14-day pilot, scale across the portfolio. If your shape is high-ticket / info-product attribution, Hyros's tracking-first architecture fits that need and we'll say so.