Partner Compensation Budget Calculator | Partnerize

INFLUENCE BUDGET ASSESSMENT

Is your marketing investment keeping up with AI-driven discovery?

AI-mediated discovery is reshaping where purchase decisions are made — before a click ever occurs. Answer a few quick questions to identify where AI influence is already shaping demand in your category and where a measurement and compensation framework could create competitive advantage.

5-10 minutes to complete

Assessment progress 0 of 10

Current marketing mix.

These questions help us understand your current investment mix, how you're measuring performance, and where AI-influenced discovery fits into your commercial strategy.

What is your approximate annual digital marketing budget?

This helps us contextualize your channel allocations. Include all paid and performance-based spend.

How would you like to allocate your digital marketing budget?

Select the channels you plan to invest in. We'll help keep the allocation balanced to 100%.

Your budget allocation

0 channels selected

Total allocation: 0% Select channels to begin.

Which commission model(s) do you currently use?

Select all that apply.

Channel performance.

These questions help us understand which channels are driving results today, how performance is measured, and where AI-influenced discovery fits into your current strategy.

What ROAS are you currently seeing across these channels?

Select the closest range for each channel.

Paid Search (PPC)

Paid Social

Affiliate & Partner

AI-Influenced Channels

Display & Programmatic

How are you currently measuring partner performance?

Select the option that best describes your current attribution approach.

How prepared are you to measure AI-influenced discovery?

Choose the closest match for your organization.

Influence readiness.

The goal isn't to pay twice for the same outcome. It's to recognize value that's currently invisible. These questions help us identify where AI-mediated influence is already shaping your commercial results and where a measurement framework could turn that insight into competitive action.

Is your paid search (PPC) spend delivering diminishing returns?

As keywords get more competitive and CPCs rise, many advertisers find they're paying more per acquisition than they were 2-3 years ago.

Has your organic search traffic declined over the past 12 months?

Have answer engines, AI Overviews, zero-click consumer behaviors, and generative search features changed how customers find you?

How would you describe your current affiliate and partner program?

Partner programs at different stages of maturity have very different budget optimisation opportunities.

Are you open to compensating partners for influence, not just last-click conversions?

Influence-based compensation is designed to complement existing attribution — not replace it. It provides a framework for recognizing upstream influence as a separate, governed investment category.

YOUR PERSONALIZED RESULTS

See where AI influence is already working for you.

Review your personalized assessment, identify where AI-mediated discovery is shaping demand in your category, and understand where a measurement and compensation framework could create structural advantage.

Your budget optimization opportunity.

Based on your answers, here's where your commission budget has the most room to move - and what to do about it.

Your inputs at a glance

Your mix looks well optimized

Based on your inputs, your commission budget looks well allocated. VantagePoint™ can help you keep it that way by giving you the measurement foundation to monitor performance and prove partner value over time.

AI-Influenced Channel Gap

AI-mediated discovery is already shaping purchase decisions in your category, but most advertisers have no way to see it, measure it, or act on it. Early movers who establish measurement and compensation frameworks now will have a structural advantage as AI-mediated commerce becomes the norm.

PPC Efficiency Gap

Your paid search costs may be outpacing returns, while AI-mediated discovery is increasingly shaping the demand that PPC is capturing. Performance-based partner commissions offer a complementary, cost-per-outcome model that rewards the full commercial journey, not just the final click.

SEO Displacement Recovery

If AI-driven search features are eroding your organic traffic, partner and publisher channels offer an alternative path to the same audiences, often at performance-based cost structures that reduce risk.

Influence Compensation Upside

AI-mediated discovery is creating an upstream investment category that traditional commission models weren't built to capture. Your partners are likely influencing purchase decisions long before a click occurs — but without a measurement and compensation framework, that value goes unrecognized and unrewarded. VantagePoint™ measures that upstream influence and provides the standardized, auditable framework to act on it — as a new investment category, not a reallocation of existing conversion spend.

Partner Program Investment Case

Programs at your stage of maturity typically see the strongest ROI from incremental investment in partner recruitment, tiered commission structures, and performance-based incentives, and AI-mediated influence is now an additional, measurable dimension of that ROI. This is often the highest-ROAS lever available to mid-market advertisers, and one increasingly shaped by upstream discovery.

Display & Social Efficiency Gap

Upper-funnel channels like display and paid social are often the least efficient for direct response goals. Performance-based partner compensation offers a cost-per-outcome complement for audiences already in your partners' ecosystems — and increasingly, those partners are shaping the AI recommendations that drive consideration before any ad is served.

Ready to see where your budget should go?

VantagePoint™ quantifies the AI-mediated influence that traditional measurement systems can't see. The VantagePoint Fractional Compensation Standard™ provides the economic infrastructure to act on that measurement — with a standardized, auditable compensation framework that complements your existing attribution model without replacing it. This is how brands move from measuring AI influence to owning it.