Your 1st-Party Data is Enough
Put It to the Test. When You Add YieldDay to your existing digital campaigns, expect to see 30% MEDIA YIELD GAINS OR MORE!
Double-Digit Efficiency Gains
- No-Code - A simple add-on with no adoption curve
- Does not replace anything you’re already using
- Scale your campaigns at new improved yields
- Increases retargeting conversion rates
- Never serve ads to bots or fraud traffic
How YieldDay Works
(1st-Party Data Only)
- Use machine learning to score site visitors by conversion potential
- Scores visitors in real-time
- Predicts purchase intent level of every visitor
- Harness pre-conversion behavior for better performing audiences
No-Code Install is a No-Brainer
(Because you need it to be)
- Fully onboard in minutes
- No technical integration
- No learning curve
- No new interface or software
- No incremental work
- No new manual work required
No Privacy Concerns
(Or compliance worries)
- No Cookies
- No Device ID’s
- No IP addresses
- Does not use PII - Zero-Party Data
- Does not store customer data
- GDPR, CCPA, CPRA compliant
YieldDay Significantly Improves Efficiency
When you add YieldDay to your existing digital campaigns, you’ll see double-digit media yield improvements almost immediately. New clients consistently see 30% gains or more within 30 days. YieldDay harnesses pre-conversion behavior to score and segment individuals who meet your conversion goals. This technology allows you to effortlessly target only real people - ready to buy, download, or purchase.
YieldDay also scales your campaigns by sustaining the new yield levels, even when you expand to new media platforms. And, because the tool is built to identify behaviors that have low-to-no conversion potential, it reduces your ad costs.
Our responsible AI systems and machine-learning evaluate your anonymous 1st-party data in real-time, separating bots from people, while preserving privacy. Visitors are instantly scored and segmented, then synced into your campaign platform (i.e., Google Ads, Facebook Ads, The Trade Desk, Verizon/Yahoo, LinkedIn, DV360, Bing, Taboola, Outbrain, Pinterest, Quora, Snapchat, Tiktok, etc.) Your campaigns are injected with highly effective audiences that utilize each person's engagement level, behavioral intent, and ability to convert into a purchase, download, lead, subscription, or other marketing goals.
What is YieldDay?
(A simple, add-on tool)
YieldDay does audience creation more accurately than traditional methods. It uses machine-learning to score only 1st-party data site traffic by conversion potential. Visitors are scored & segmented in real time based on pre-conversion behavior metrics and patterns. Our system knows if a visitor is a real person, their likely buying stage, and purchasing intent level. It syncs the right people into your campaign at the right time by monitoring engagement, behavioral intent, and ability to convert into a purchase, download, lead, subscription, or other goals.
YieldDay is a No-Brainer
(No Cookies and No Privacy Concerns)
As digital marketers ourselves, we knew you needed YieldDay to be an absolute no-brainer. So, we engineered it to be a simple no-code add-on with no adoption curve. It does not replace anything you’re already using or considering – it complements it. There’s no software to integrate, so onboarding usually takes only about 15 minutes. You place the pixel, and you’re off and running without cookies or privacy concerns. You won’t need to add labor, specialists, hardware, or IT support to utilize the tool.
Because no PII is needed or exchanged, it’s fully anonymous – we store no customer data at all. Just by its nature, you’re in compliance with GDPR, CCPA, and CPRA.
And even though it seems like YieldDay would be a black box, everything you care about is transparent – you already own all the audience data that defines your improved performance. YieldDay applies machine-learning to your anonymous 1st-party data in real-time.
Our affordable pricing models keep your ROAS impressive and growing. Ask about our Flat-fee, Performance, and Hybrid pricing models.