Cross-channel performance
Compare channels and business outcomes with clear sources and metric definitions.
Mosaic is a marketing intelligence platform for teams across industries. Bring marketing performance, Prism creative intelligence and artificial intelligence (AI) visibility into one working view. Understand what changed, see what deserves attention and decide what to do next.
Bring reporting, creative review, discovery and planning into a shared workflow. Start with your business questions, then agree on the sources and measures needed to answer them.
Compare channels and business outcomes with clear sources and metric definitions.
Review what ads communicate, compare similar creative and plan specific tests.
See how people find your brand in search and how it appears in sampled AI answers.
Review spend pacing, supporting evidence and business constraints before deciding.
Keep the reason and the evidence alongside the choice your team made.
Ask questions of approved reports through supported, read-only assistant connections.
Different businesses ask different marketing questions. These are examples of how to frame a review with Mosaic, rather than industry-specific packages or customer results.
Review purchases, product-focused creative and paid-media spending.
Distinguish inquiries from qualified leads and review the content that supports them.
Keep bookings, reservation requests and experience inquiries distinct.
Compare campaigns and outcomes across locations with consistent definitions.
Use a consistent review framework while keeping each brand’s context and measures separate.
We confirm data availability, account access and metric definitions during scoping. The examples do not imply dedicated integrations for sales, inventory or booking systems.
The examples below follow Maison Solenne, a fictional luxury hotel. Its rooms, dining and wellness views illustrate the workflow; they do not define Mosaic’s product category. For another business, we scope the channels, outcomes and reporting context around its needs.
All ads, data, scores and recommendations in this walkthrough are illustrative. No customer data is used, and demo controls do not change accounts or campaigns.
Try the sample dashboardPurchases, bookings and inquiries answer different business questions. Bring your results together without treating every action as the same kind of conversion.
These outcomes are reported separately. Booked room value is not collected revenue and does not show which bookings advertising caused.
Bring reporting, creative review and recommendations into one workflow. Each view helps answer a different marketing question, with shared context for your team’s review.
See how spending is divided across paid channels. Compare business outcomes while keeping their definitions and sources distinct.
Illustrative spend. Organic traffic and AI visibility are measured separately.
Keep your ads in one library. Review their content and performance alongside similar ads, then identify the next variation to test.




Generated ad concepts with illustrative scores, not measured results from these images.
Turn a change in performance into a specific test. Review the evidence, the proposed action and the reason behind it.
The “Space To Be You” ad’s click-through rate fell from 1.6% to 1.2% across two 7-day periods. Average frequency rose from 2.4 to 3.8.
Possible explanation: The audience may be responding less after repeated exposure. Other changes in targeting or measurement could also explain the decline.
Proposed test or action: Test “Sea-View Suite” as a new headline for the “Space To Be You” ad. This is a variation of the same ad, not a separate campaign. Keep the image, audience and test budget fixed, then compare click-through rates before increasing spend.
Demo only. No account or campaign changes.
Keep a record of what your team approved, what it deferred and why, so the next review builds on the last one.
Illustrative history. No real decisions or customer information.
Prism helps teams review creative patterns, compare similar ads and turn observations into specific tests. See the message, format and call to action alongside performance, then decide what to try.
A creative score helps prioritize what to review. It does not prove why performance changed or predict bookings or revenue.

What is visible
The score and review are illustrative examples, not AI evaluations of this generated image.
Mosaic uses artificial intelligence (AI) to organize creative, explain changes and suggest tests. Each recommendation keeps the supporting data separate from the possible explanation.
Observed: the “Space To Be You” ad’s click-through rate fell while frequency rose.
Possible explanation: people may be responding less after seeing the ad repeatedly. Targeting or measurement changes could also explain the decline.
Proposed test: try “Sea-View Suite” as a new headline for the same ad, with the image, audience and test budget unchanged.
AI recommendations depend on the available data and need human review. The examples here do not guarantee a performance improvement.
Maison Solenne · illustrative decision history. The demo controls below do not update this record.
Keep the ad, its results and your team’s reasoning together. Anyone reviewing a decision can see what was known at the time and why the team chose that next step.
Start with the accounts and results that matter to your business. Then follow a repeatable process for reviewing performance, planning tests and recording decisions.
Select the marketing accounts to connect, confirm access and choose the results you want to track.
Use consistent dates and currencies, and confirm what each source counts as a conversion.
Compare each ad’s performance with similar ads by channel, objective and format.
Choose one change to test, decide what stays the same and define how you will measure the result.
Save what your team approved or declined, along with the reason and supporting evidence.
Approving a recommendation does not execute a campaign change. Campaign-management agents remain a separate planned layer.
Explore the fictional Maison Solenne dashboard. Switch between rooms, dining and wellness to see the relevant metrics, trends and recommended next steps for each business unit. The sidebar shows the app’s menu for context; it is not active navigation in this demo.
1–28 Sep 2026 · total paid media $108,000
Showing Rooms & suites demo data.
Website booking events, not occupancy. Booked room value is not collected revenue or revenue attributed to advertising. Spend per outcome divides media spend by recorded outcomes. It does not show what each result cost to acquire.




The “Space To Be You” ad’s click-through rate fell from 1.6% to 1.2% across two 7-day periods. Average frequency rose from 2.4 to 3.8.
Possible explanation: The audience may be responding less after repeated exposure. Other changes in targeting or measurement could also explain the decline.
Proposed test or action: Test “Sea-View Suite” as a new headline for the “Space To Be You” ad. This is a variation of the same ad, not a separate campaign. Keep the image, audience and test budget fixed, then compare click-through rates before increasing spend.
Demo only. No account or campaign changes.
Fictional hotel, generated creative and illustrative data. Not a customer case study or a forecast. This interactive example follows Mosaic’s dashboard layout. It is not a screenshot of a customer account.
Compare searches for your brand with broader category searches. Then review whether AI-generated answers mention your business and describe it accurately.
In this fictional example, are people searching for “Maison Solenne” by name, or looking more broadly for “coastal spa stays”?
Illustrative organic-search clicks over the same 28-day period. Brand and discovery queries do not overlap; paid clicks are excluded.
In this fictional example, the hotel appears in 52 of 100 illustrative AI answers to a fixed set of questions.
This sample is illustrative, not a measure of market share. Updating a source page does not guarantee that AI answers will change.
Maison Solenne · 1–28 Sep 2026 · all figures illustrative.
Use a supported assistant to ask questions about data stored in Mosaic. The Model Context Protocol (MCP) connector provides read-only access to approved reports, so answers can include the source and reporting period.
Maison Solenne · fictional assistant conversation
Total paid media spend was $108,000 (−10.0%). Rooms recorded 360 website bookings and $540,000 in booked room value across all website sources.
Dining had 180 reservation requests. Wellness had 96 spa inquiries. These are different outcomes, not extra room bookings.
The “Space To Be You” ad’s click-through rate fell from 1.6% to 1.2% across two 7-day periods. Average frequency rose from 2.4 to 3.8.
Test “Sea-View Suite” as a new headline for the “Space To Be You” ad. This is a variation of the same ad, not a separate campaign. Keep the image, audience and test budget fixed, then compare click-through rates before increasing spend.
This test can help investigate the decline. It does not prove that the headline caused it.
Illustrative conversation using fictional data. This example does not query a live model or customer account.
Compare spend against plan, identify changes in pacing and review campaign schedules, spending limits and business constraints before reallocating budget. A spending projection is a planning input, not a forecast of revenue.
In this fictional hotel example, confirm that rooms are available for the dates being promoted and that advertised rates are current. This demo does not connect to live booking or inventory systems.
Projected spend if the average daily rate continues. Not a revenue forecast or a recommended budget allocation. Calculation: spend so far ÷ elapsed days × days in the month.
Understand who can access your reports, how assistant connections work and which service providers handle data. Review the setup against your requirements before connecting accounts.
What Mosaic does, how the examples work and what to expect from a demo.
Mosaic Signal is the brand behind Mosaic, a marketing intelligence platform that brings performance reporting, Prism creative intelligence, search and AI visibility, planning context and recommendations into one review workflow.
Mosaic is designed for teams reviewing marketing across channels, brands or business units. We start with your questions and scope the available sources, outcomes and access. The industry examples on this page are possible review contexts, not customer results or dedicated industry packages.
No. Mosaic is a marketing intelligence platform, not hotel-management software. The walkthrough uses a fictional hotel to show how reporting, creative review and recommendations work together. We scope data sources and metrics around each business.
During setup, we confirm the platforms you use, the access available and the metrics you need. Supported fields, refresh schedules and third-party fees depend on the selected connections and account permissions.
Prism organizes creative observations and helps teams compare ads with the same channel, objective and format. It suggests specific tests for human review. A creative score does not prove why performance changed or predict revenue.
No. The buttons on this website demonstrate the review process only. Nothing is saved or sent. Agents that manage campaigns are planned separately and are not part of this demonstration.
Public plans are not available yet. Pricing will depend on connected accounts, data storage, creative processing, AI usage, third-party data and support. Contact us to discuss the scope your team needs.
The demo link takes you to our contact section. Open an email draft or copy our address into your preferred email service. Tell us about your business and the questions you want to answer, and we will arrange a walkthrough. Nothing is submitted or booked automatically.
No. Maison Solenne is a fictional luxury hotel created for this demonstration. Its ads, data, scores and recommendations are illustrative, not customer results.
The hotel example shows paid media spend, website room bookings, booked room value, dining reservation requests and spa inquiries. These outcomes are reported separately. Website bookings are not automatically attributed to advertising, and booked value is not collected revenue.
No. The scores shown here illustrate the Prism interface. They are not AI evaluations of the generated artwork. Video attention measures do not apply to these still-image concepts, and the scores do not predict bookings or revenue.
No. “Space To Be You” is the current headline of the fictional suite ad. “Sea-View Suite” is a proposed headline variation for that same ad. The recommendation is to test the headline while keeping the image, audience and test budget unchanged. No results are claimed for the proposed variation.
No. It projects month-end spending at the current average daily rate. It does not predict revenue, bookings or a return on investment. Review campaign schedules and business priorities before changing a budget.
Email us about your business, the channels you use and the questions you want to answer. We will arrange a walkthrough of Mosaic’s reports, creative insights and recommendations.
No email app? Copy the address into your preferred email service. Opening a draft or copying the address does not send a message or book a meeting.