Data sharing & revenue forecasting–External FAQ

Can you provide an NDA before we share any data?

Absolutely. We have a standard mutual NDA and can countersign quickly. It binds both parties to protect confidential information and to use it only for the agreed revenue analysis and evaluation.

Who specifically will have access to our analytics and revenue information?

Access is limited to Raptive Enterprise team members (and, if needed, a small number of implementation specialists) who are directly involved in your analysis and recommendations. We follow a least‑privilege approach and review access regularly.

How will our sensitive data be stored and protected?

We use industry‑standard security controls:

• Encryption in transit and at rest for data transfers and storage.
• Access controls & least‑privilege permissions scoped only to the team members working on your project.
• MFA/SSO for internal systems and identity‑based access policies.
• Auditability & approvals for elevated access and data exports.
• Segregation of client data and no data reselling or sharing with third parties for their own use.

What is your data retention policy? How long will you keep our information?

By default, we retain data only for as long as needed to complete your forecast, share results, and discuss next steps—typically ≤ 90 days from receipt for prospects. If we enter a partnership, retention is governed by the services agreement and your preferences. We will honor earlier deletion on request.

What happens to our data if we decide not to move forward with Raptive?

We will delete uploaded files and revoke any granted access (GA/GAM) within a short window (typically within 10 business days) and confirm via email. If you prefer a different timeline or require a destruction attestation, we can provide one.

Why do you need 13 months of historical data?

A 13‑month window captures seasonality, traffic cycles, shopping periods, and content trends. It lets us model peak and soft periods, rather than extrapolating from short snapshots, leading to more accurate and actionable revenue projections.

Why do you need both GA4 and GAM data? Why can’t you work with just GA4?

• GA4 provides insights into audience behavior (sessions, engagement, top pages, geos, device mix) so we can size ad opportunities and diagnose where lift is likely.
• GAM (or your ad server) contains the monetization baseline (impressions, revenue, viewability by ad unit/device/order).
• We need both the opportunity side (GA4) and the yield side (GAM) to forecast RPMs and total revenue accurately. GA4 alone cannot reveal current fill, CPMs, viewability, or how specific ad units perform.

We use a different ad server than GAM—can we still provide useful data?

Yes. Please export impressions, revenue, and viewability for the last 12 months by month, device, ad unit/placement, and order/line from your ad server (CSV/XLSX is fine). We’ll map it to our model.

How will this data be used to generate revenue projections?

Our Performance & Analytics team combines your traffic patterns, content mix, geos, devices, engagement, and current monetization metrics with Raptive network benchmarks and optimization playbooks. We then model expected RPMs and total revenue across scenarios (status quo vs. optimized) and produce a forecast with assumptions and next‑step recommendations.

How accurate are your projections?

Forecasts are designed to be decision‑grade, not guarantees. Accuracy depends on the quality of inputs, site changes, traffic shifts, and adoption of recommendations. To reflect real‑world variance, we share ranges and scenario assumptions, then re‑baseline early in a partnership using live results.

What if our traffic is highly seasonal?

That’s expected. With 12 months of data, we model seasonal lift curves rather than a single average. We’ll call out peak periods (e.g., Q4 retail, back‑to‑school) and conservative assumptions for off‑season months so expectations stay realistic throughout the year.

We have multiple properties or subdomains—should we include data for all of them?

Yes. If they are monetized together, send a combined view plus any notable exceptions. If they are monetized separately or have distinct audiences, we can forecast them individually so each property gets a tailored plan.

How long does the process take from data submission to results?

Once we receive access/files, initial analysis usually takes up to 4 business days and may take longer in more complex cases. We’ll then schedule a walkthrough to review the findings and recommend the next steps.

How do your projections account for the transition period if we partner?

We factor in an initial ramp/learning period (e.g., header bidding calibration, demand onboarding, viewability improvements). We model a phased lift over the first weeks and provide an implementation plan to reach steady‑state quickly, then revisit assumptions with early performance data.

Will any of our proprietary information be used in case studies or marketing?

No, not without your explicit written approval. If a success story could benefit others, we would request permission first and share any materials for your review before publication.

What formats and delivery methods do you accept?

• Preferred: GA guest access to pub.data@raptive.com and GAM admin access to the same address.

Alternative: CSV/XLSX uploads or a read‑only link to a secure cloud folder.
We’ll confirm receipt and validate data completeness before modeling.