Hai Impact vs Skai | AI & Omnichannel Ad Platform Comparison

Feature Comparison

Feature / Capability	Hai Impact	Skai	Notes & Tradeoffs
Channel / Platform Coverage	Google Ads currently (with plans to expand)	Omnichannel: search, social, retail media, display, apps, connected TV, and walled gardens. (Skai connects many publishers and media types)	Skai’s breadth is superior; Hai Impact’s narrower focus may allow deeper optimization in Google at early stages.
Automation / Optimization Depth	Recommendations + auto-apply rules (user override possible)	AI-driven workflows, automated bidding & budget allocation, campaign orchestration across channels. (Skai automates multi-channel tasks)	Skai’s automation is broader and more aggressive; Hai Impact’s strength is combining control with recommendations and clarity.
Creative / Ad Generation & Insights	(Not emphasized publicly on your site)	Skai surfaces creative insights, enables scoring and optimization of creative elements across channels. (Skai optimizes creative elements and alerts underperformers)	Skai has more built-in creative/optimization insight; if Hai Impact adds creative modules, that becomes competitive territory.
Transparency / Explainability / Control	Full visibility into recommendations, action tracker, override control, “so what” explanations	Skai provides dashboards, alerts, rule logic visibility, and anomaly detection, but parts of orchestration may be opaque to end users.	Hai Impact’s messaging on clarity & explainability can help address trust issues that come with large platforms like Skai.
Attribution / Measurement / Incrementality	Uses MMM for incremental lift estimation beyond last-click	Skai offers “Impact Navigator,” incrementality testing, forecasting, cross-channel attribution in real time. (Skai’s AI includes incrementality and budget forecasting)	Skai is stronger in multi-channel attribution and forecasting; Hai Impact can emphasize deeper causal insight in Google domain.
Reporting / Dashboards / Analytics	Visual insights, action history, estimated vs actual performance	Comprehensive dashboards, unified media reporting, anomaly alerts, publisher-agnostic views. (Skai centralizes cross-channel metrics)	Skai is strong in unifying and visualizing data; Hai Impact must ensure its dashboards clarify cause & recommended actions.
Scalability / Enterprise Features	Multi-account / portfolio support, role-based access, custom integrations	Built for enterprise: supports large accounts, complex media stacks, custom development, data connectivity. (Skai’s enterprise posture)	Skai has advantage in scale; Hai Impact must emphasize APIs, customization, SLAs to compete at the enterprise level.
Ease of Use / Onboarding	Lean setup and simpler core workflows	Powerful but complex; extensive configuration required for cross-channel orchestration and integrations	Hai Impact’s narrower focus could reduce friction; Skai’s robust capabilities come with steeper learning curves.
Pricing / Cost Structure	Tiered (Starter / Pro / Enterprise) with quotas (Interaction Credits, Automation Cycles)	Flat annual program-based pricing for advertising programs (rather than purely spend-based). (Skai promotes predictable SaaS pricing)	Hai Impact’s transparent quota-based model is user-friendly; Skai’s pricing is more custom and may require negotiation.

Channel / Platform Coverage

Hai Impact: Google Ads (expanding)

Skai: Omnichannel across search, social, retail, display, apps, and TV

Tradeoff: Skai offers broader platform reach; Hai Impact may deliver depth in Google initially.

Automation / Optimization Depth

Hai Impact: Recommendation engine + optional auto-apply

Skai: AI workflows automating bids, budgets, orchestration across channels

Tradeoff: Skai’s automation is more ambitious; Hai Impact balances control and automation clarity.

Creative / Ad Generation & Insights

Hai Impact: (Not publicly emphasized)

Skai: Optimizes creative components, flags underperformers

Tradeoff: Skai has stronger creative insight modules; check whether Hai adds creative features over time.

Transparency / Explainability / Control

Hai Impact: Action tracker, override, “so what” explanation

Skai: Dashboards, alerts, rule logic visibility, but some complexity may reduce clarity

Tradeoff: Hai can differentiate by making explanations front and center.

Attribution / Measurement / Incrementality

Hai Impact: Uses MMM for lift estimation

Skai: Offers incrementality testing, forecasting, cross-channel attribution (Impact Navigator)

Tradeoff: Skai is strong across channels; Hai’s measurement clarity is a strong positioning point.

Reporting / Dashboards / Analytics

Hai Impact: Visual insights, actual vs estimated, action history

Skai: Unified dashboards, anomaly alerts, cross-channel views

Tradeoff: Skai excels in aggregating multi-channel data; Hai needs to show causal, action-linked insight.

Scalability / Enterprise Features

Hai Impact: Portfolio, roles, integrations

Skai: Enterprise-grade architecture, custom development, large-scale orchestration

Tradeoff: Skai has scale advantage; Hai must compete on customization, reliability, support.

Ease of Use / Onboarding

Hai Impact: Lean setup, streamlined UX

Skai: Powerful, but more complex onboarding and configuration across channels

Tradeoff: Hai’s focused approach reduces friction; Skai’s full feature set demands more setup.

Pricing / Cost Structure

Hai Impact: Tiered model with quotas (Interaction Credits, Automation Cycles)

Skai: Flat, annual program-based pricing (rather than spend-based) for ad program scale

Tradeoff: Hai gives pricing clarity; Skai’s custom pricing may be less transparent to some clients.

Where Hai Impact Excels

Strong clarity and explainability for recommendations — helps build trust in automation
Focused specialization (Google Ads) — may deliver better performance early on in that domain
Simpler onboarding, lower friction for initial use and adoption
Transparent pricing and quotas tied to usage — easier for clients to understand and budget
Deep measurement via MMM and causal lift estimation, especially in Google-led campaigns

Where Skai Has the Advantage

Broad channel support — search, social, retail, apps, connected TV, etc.
Robust automation across channels — ability to orchestrate media shifts, bidding, budget reallocation
Cross-channel attribution, forecasting, incrementality testing (Impact Navigator)
Unified dashboards and strong data aggregation across publishers
Enterprise-grade scale, custom development, integration capabilities
Predictable program-level pricing (annual/SaaS model)

Which Platform Fits Your Use Case?

Scenario / Business Profile	Better Fit: Hai Impact	Better Fit: Skai
Ad spend is heavily in Google & measurement clarity is priority	✓ Strong measurement & lift insight via MMM
Running campaigns across many channels (search, social, retail media, CTV)		✓ Broad omnichannel execution and unified media support
Need granular transparency, explainability, and control over recommendations	✓ Action tracker, override options, “so what” logic	✓ Offers dashboards, rule logic, alerts (though complexity may reduce clarity)
Managing multiple clients / accounts / portfolios	✓ Portfolio views, role management, scalable setup	✓ Designed for enterprise and agency scale
Prioritize fast time to value and minimal setup	✓ Lean, focused setup and simpler onboarding
Creative variation, optimization, and creative insights matter heavily		✓ Skai surfaces creative insights, flags underperforming creative elements
Desire predictable pricing structure	✓ Transparent tier + quota model	✓ Skai offers flat program-level pricing rather than pure spend-based pricing

Ad spend is heavily in Google & measurement clarity is priority

Better Fit — Hai Impact: Strong measurement & lift insight via MMM

Running campaigns across many channels (search, social, retail media, CTV)

Better Fit — Skai: Broad omnichannel execution & unified media support

Need granular transparency, explainability & control

Better Fit — Hai Impact: Action tracker, override, “so what” logic

Better Fit — Skai: Dashboards, rule logic, alerts (with complexity tradeoffs)

Managing multiple clients / accounts / portfolios

Better Fit — Hai Impact: Portfolio views, role management

Better Fit — Skai: Enterprise / agency scale support

Prioritize fast time to value and minimal setup

Better Fit — Hai Impact: Lean setup, simpler onboarding

Creative variation, optimization, & insights matter heavily

Better Fit — Skai: ✓ Surfaces creative insights & flags low-performing elements

Desire predictable pricing structure

Better Fit — Hai Impact: Transparent tier + quota model

Better Fit — Skai: Program-level flat pricing, less spend variability

FAQ.

What channels does Skai support? ▾

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Skai supports a wide variety of channels including paid search, paid social, retail media, display, app marketing, and connected TV, consolidating across many publishers.

Does Skai support incrementality / lift testing? ▾

Yes — Skai’s tools include incrementality testing and forecasting features via its “Impact Navigator” and predictive AI modules.

Which tool is better for enterprise-scale or multi-market campaigns? ▾

Skai is built for scale, multi-channel orchestration, and integration across large media stacks. Hai Impact needs strong APIs and enterprise feature sets to compete at that level.

Which tool is easier to adopt? ▾

Hai Impact’s more focused approach and simpler workflows may lead to faster adoption. Skai’s broad capabilities require more configuration and learning.

How do their pricing models differ? ▾

Hai Impact uses tiered pricing with quotas (Interaction Credits, Automation Cycles). Skai offers annual program-level pricing that’s more fixed and predictable compared to spend-based models.

Hai Impact vs Skai: Which Platform Is Right for Your Advertising Strategy?