Overview
An onsite offer planner helps a demand generation manager decide which conversion-page offers are worth testing, who should see them, and what proof or guardrails are needed before launch.
This playbook installs an onsite offer plan and review page for pages where the offer itself can change the conversion decision: demo pages, trial pages, lead magnet pages, pricing pages, PDPs, cart steps, or campaign landing pages.
The output is not a loose brainstorm. Juno keeps the offer, eligibility, placement, proof, risk, approval status, and follow-up test plan together so the team can stop running the whole conversation through a spreadsheet tab with three owners and six definitions of "ready."
Why you should test onsite offers with guardrails
Onsite offers can help a visitor act sooner, but they also create tradeoffs. A discount can lower friction and train the wrong behavior. A bonus can sharpen urgency or confuse the main promise. A guarantee can reduce risk, but only when the team can support the claim.
That is why the plan needs eligibility and proof, not just ideas. Google advises advertisers to send people to useful, relevant landing pages that match the ad and keywords in its landing page guidance. If an onsite offer changes that promise, the page needs to make the change clear.
Proof also matters. The FTC's endorsement guidance says testimonials and endorsements should not mislead people, which makes approval and evidence checks part of responsible conversion work (FTC endorsement guides).
Juno turns those moving parts into a reusable offer testing workspace: what to launch, what to soften, what to block, and what to measure next.
Step-by-step
- 1Confirm the brand, conversion goal, page set, audience segments, traffic sources, current offer ideas, discount or value limits, proof sources, and approval constraints.
- 2Define the job for each onsite offer by naming the hesitation it should reduce and the conversion action it should support.
- 3Map eligibility rules, exclusion rules, page placements, section timing, and audience fit so each offer has a clear boundary.
- 4Check proof and risks before ranking, including claim support, margin impact, lead quality, fulfillment capacity, tracking gaps, and approval needs.
- 5Prioritize offers by likely impact, confidence, effort, risk, readiness, and traffic fit, separating ready-to-brief ideas from blocked or low-confidence ones.
- 6Create follow-up test guidance with one offer change, one stable control, a primary metric, guardrails, and a readable timing rule.
- 7Use the review page during weekly or monthly checks to preserve prior decisions and keep the next offer test visible.
Frequently asked questions
What does this replace?
It replaces an offer testing spreadsheet for planning onsite offers, eligibility, proof, risk, and follow-up tests. It does not replace a pricing system, promotion calendar, experimentation platform, or full CRO audit.
What inputs should I bring?
Bring the conversion goal, priority pages, audience segments, traffic sources, active offers, proposed incentives, proof sources, and constraints around discounts, claims, fulfillment, or approvals. A public URL is helpful but not required.
Can Juno run this without analytics access?
Yes. The first pass can use supplied context, public page evidence, and documented assumptions. Analytics or testing data can improve confidence, but the playbook should still produce a useful plan without requiring a non-default integration.
When should I use the weekly or monthly cadence?
Use weekly reviews during active campaign or offer testing periods. Use monthly reviews when onsite offers change less often but the team still needs to keep stale ideas, approval gaps, and follow-up tests visible.