Marketing intelligence · From signal to action
See what’s moving your market. Know what to do next.
YUPITR brings campaign performance, customer behavior, product economics, creative signals and competitor activity into one governed intelligence layer, so your team can spot what is changing, understand why it matters and decide what to do next.
From active campaigns to market momentum, YUPITR connects the evidence behind your marketing decisions. It helps your team learn from historical performance, identify emerging opportunities and prepare data-backed actions for human review.
One connected view of performance, opportunity and action.
Data Ingestion
Activation Layer
Continuous Learning
Data & Context Layer
Engagement Layer
Omnichannel Engagement
Personalization
Chat
Paid Retargeting
Campaign performance · Cross-channel visibility
Know how your active campaigns are performing, not just what each platform reports.
Bring channel activity and business outcomes into the same conversation.
YUPITR reads campaign and performance data from the advertising and analytics sources connected to your workspace. It helps teams compare activity across channels, spot meaningful changes and understand whether performance is translating into qualified demand, pipeline or revenue, where those outcomes are connected.
- Monitor active campaigns and changes in their performance.
- Compare channel-reported metrics with connected website, analytics and CRM outcomes.
- Surface shifts in spend, reach, engagement, conversion quality and acquisition efficiency.
- Distinguish platform-reported conversions from verified business outcomes.
- See where data is connected, incomplete or not yet attributable.
One performance picture. Clear boundaries around what the data can prove.
Family Space · Pre-sale demand
Meta · Google · TikTok · WhatsApp · LinkedIn · Awareness
Draft · continue
$18,400 planned over 30 days. Not yet submitted for review. Nothing is approved, spent or live.
Draft · continue →Campaign A · Qualified demand
Meta · Qualified pipeline · Growth team
Budget guardrail reviewed 2d ago
89%
Scaling
438 opportunities
5.6
$146K
of $164K
89% confidence
Campaign A · High intent
Google · Demand capture · Performance team
Search terms reviewed 1d ago
89%
Scaling
392 opportunities
6.4
$118K
of $132K
82% confidence
Growth · New customers
TikTok · Qualified discovery · Growth team
Creative fatigue detected 4h ago
81%
Attention
1,840 qualified visits
3.1
$74K
of $91K
76% confidence
Cross-channel retargeting
Programmatic · Assisted conversion · Lifecycle team
Audience exclusions synced 6h ago
89%
Stable
214 assisted conversions
4.1
$50K
of $56K
84% confidence
Family Space · Creative trial
Meta + TikTok · Message learning · Creative team
Trial started 5d ago
55%
Learning
+27% qualified sessions
Measuring
$21K
of $38K
71% confidence
Enterprise ABM · Named accounts
LinkedIn · Account coverage · Enterprise team
Attribution gap flagged 3d ago
74%
Attention
Not certified
Not measured
$61K
of $82K
34% confidence
Showing 6 of 6 governed demo programs · figures are scenario examples, not verified live-provider results.
Competitive intelligence · Market signals
See what competitors are changing, and where the market is opening up.
Turn observed moves into context, momentum and a considered response.
YUPITR monitors permitted public sources and connected market signals to detect changes in competitor messaging, offers, positioning, products and visible activity. It brings those observations together with category demand and your own performance data to help your team decide whether a change is noise, a developing trend or a strategic opportunity.
- Track observed competitor changes over time.
- Compare movement across brands, categories, offers and channels.
- Read momentum alongside demand, saturation and your own position.
- Identify underserved needs and potential whitespace.
- Receive suggested responses with the evidence and uncertainty made visible.
Not just “what did they do?” but “what changed, how fast, and does it matter to us?”
Momentum detected: three creator posts accelerated discussion of real-estate investment in Valle Oriente
Organic reach expanded across short-form video while the monitored market cohort showed no comparable response. The timing is an opportunity hypothesis, not proof of causation.
48h reach
1.42M
+340% vs baseline
Sentiment
88%
+18 pts positive
Est. opportunity
$140K
Illustrative 68-hour scenario window
Scenario window
68h
Illustrative timing from the fixed demo snapshot; not a live deadline. Any action remains behind human review.
Prepare momentum planSaves a draft for review. Nothing is approved or spent.
Decision-stage demand is accelerating versus the monitored market cohort
Qualified conversion is rising while high-intent visitors spend longer on pricing and compliance content.
+28.4% qualified conversion · +45 sec pricing dwell
Open Campaigns to review
Structured-result coverage is declining across 42 commercial pages
The observed CTR decline overlaps with lost rich-result eligibility. This is a correlation, not a certified platform cause.
42 pages affected · CTR −12%
Open SEO & GEO to review
Mid-market demand is clustering around flexible per-vehicle terms
The cohort is growing faster than the segment baseline, strongest on fleets between 50 and 200 vehicles.
+62% qualified leads · 87% confidence
Open Customers to review
Campaign strategy · Continuous optimization
Build from what has worked. Optimize for what matters now.
Use historical outcomes, current signals and business guardrails to shape the next campaign decision.
YUPITR can use available historical campaign results, customer behavior and business outcomes to inform new campaign plans. It helps teams understand which approaches have performed well, where results vary by audience or channel, and what deserves a controlled test before more budget is committed.
Prepared, never applied
YUPITR drafts the exact change and puts it in front of a person. It does not apply it.
L2 · Prepare
5 itemsYUPITR can draft the exact change and put it in front of a person. It does not apply it.
Move 14% of the daytime budget into the 19:00–23:00 window.
Know why
Saves a draft for review. Nothing is approved or spent.
Ask about thisDo not outbid them across all three.
Know why
Saves a draft for review. Nothing is approved or spent.
Ask about thisWhat this view can tell you
Every diagnosis says what it cannot see, and which guardrails are in force.
Campaigns · Optimization
What this view can tell you
Nothing here runs unattended above L2
Queued diagnoses are prepared for a person. L1 rules may only ever spend less.
A diagnosis names what it cannot see
Fatigue, audience overlap and a landing page problem look similar in the data.
A platform reports on itself
Each platform counts the conversions it can see, with its own window. Those counts are not added.
Guardrails in force
L2 ceiling. 4 rules decide what may act without a person.
Ask about this queue
Four questions this screen can answer from its own evidence.
What the queue is about today
One diagnosis with its root cause, its cost and how far YUPITR can go.
What the queue is about today
76% confidencePeople are tired of the video. Results drop every week.
The same video has run 21 days. The average person has seen it 4.2 times and the qualified-visit rate has fallen 18%. Reach and cost per click did not change: they are tired of this specific asset.
Root cause
TikTok Ads · frequency 4.2 after 21 days in flight
What it costs
$74K attached to decisions nobody has taken
How far YUPITR can go
5 of 6 items can be prepared. None can be executed: no advertising platform is connected for writes.
- Learn from prior campaign and outcome data available in the workspace.
- Compare performance by channel, audience, product and objective.
- Find opportunities to reallocate attention or propose a test.
- Keep budget, evidence and approval requirements visible.
- Prepare recommendations for review; connected ad platforms are only changed when an authorized workflow is configured and approved.
Product × Segment × Channel
Understand which products resonate with which audiences, and where.
Connect product economics and customer signals to campaign decisions.
YUPITR organizes available performance around the dimensions that shape growth: product, category, customer segment, channel, campaign and business outcome. This helps teams avoid treating every audience or SKU as interchangeable and reveals where a message or investment may be working, or missing the mark.
- Compare demand and campaign response by product or category.
- Understand audience and segment differences where data supports them.
- Connect engagement with conversion quality, margin or retention signals when available.
The right product, for the right audience, through the right channel.
Catalogue verdict · 441 SKUs across 5 categories
Footwear is up 9% in units and is the largest margin leak in the catalogue
One SKU, Runner Pro v2, is 18% of marketplace units at −4.2% net margin. A size guide calibrated half a size small drives a 32% return rate, and marketplace ad commission sits on top of COGS. The category looks like the win and is the loss.
Same point in season, year over year. Behavioural telemetry has been running 23 days and carries no history before that.
Negative net margin
2.0%
9
Selling volume, losing money once returns and fees are taken out
Demand with no supply
1.4%
6
4,200 high-intent searches with nothing to sell against them
Selling badly
9.3%
41
Seen often enough to be judged, and underperforming
Selling well
14.3%
63
Above this account’s own median on rate and on margin
Not seen enough to judge
65.1%
287
34 of them hold stock with zero advertising behind them
The five categories
Ordered by what it costs, not alphabetically
The category is the lens. The product is the subject.
Runner Pro v2 generates real volume, and reverse logistics plus restocking eat all of it. Category return rate is 32% against an account median of 11%. Nothing about the demand is wrong. The product page is setting an expectation the product does not meet.
Evidence
Who owns the fix
Content / CMS, then Pricing
The three classes of cause are fixed by different people. Exposure disguises itself as a product problem more often than either of the other two: a product converting at 0.4% on 40 visits is not underperforming, it is unmeasured.
Prepare the size guide and photography briefSaves a draft for review. Nothing is approved or spent.
Creative performance · Visual signals
Understand why a creative works, not just which one won.
Analyze the visual and messaging elements associated with performance across channels.
Creative Intelligence helps teams examine images and other creative assets in the context of their channel, audience and results. It can surface patterns in composition, product visibility, message, format and visual emphasis, then compare those patterns with the performance evidence available for each placement.
- Compare creative performance by channel and audience.
- Inspect image and message characteristics associated with stronger or weaker results.
- Spot fatigue or creative patterns worth testing.
- Distinguish observed correlation from proven cause.
- Turn findings into a clearer brief for the next creative iteration.
Move from “this creative performed better” to “these are the elements worth testing again.”
Urban Rhythm · Generic banner 02urban_rhythm_banner02.png · Meta · Static
Family Space · Rooftop opening shotfamily_space_rooftop_01.mp4 · Meta · VideoToday’s verdict · Creative performance
3 of 6 assets are carrying this account, and 2 are running without earning attention
Across everything active in the last 30 days, paid and organic. The filters below narrow the list, not this reading. Every reading is built from this account’s own median, not an industry benchmark. Where YUPITR can only show a correlation, it says so rather than claiming a cause.
Top performers
3
Video 9:16Family Space · Rooftop opening shot PAID
family_space_rooftop_01.mp4 · Meta · score 96 · +1.74 pts vs average
The strongest asset in the account, and the reason is the first 2.8 seconds: a single uncut move from the rooftop into the living room. It earns attention before it asks for anything, which is why it converts at a third of the portfolio cost. Copy the opening, not the property.
Needs attention
2
Static 1:1Urban Rhythm · Generic banner 02 PAID
urban_rhythm_banner02.png · Meta · score 34 · −1.28 pts vs average
It is not a bad image, it is an over-served one: the same people have seen it 4.8 times and stopped reacting. Reach never dropped, only response did, which is what separates a tired asset from a wrong one. It still spends $2.2K a week for nothing.
Strategy intelligence · Market scanning
Find the opportunity before it becomes obvious to everyone else.
Connect category movement, customer needs and competitive gaps to strategic choices.
YUPITR combines permitted public market signals, connected business data and historical context to help teams understand what is changing around them. The goal is not to collect signals for their own sake. It is to find changes that could affect demand, positioning, customer expectations or growth.
- Scan relevant public digital sources and connected market evidence.
- Track shifts in customer language, category demand and competitor positioning.
- Identify emerging pain points, underserved segments and potential whitespace.
- Explain the evidence behind an opportunity and what remains uncertain.
- Prepare practical options for a human decision-maker.
From market signals to opportunities your team can evaluate.
Rebalance qualified-demand budget
Grow certified revenue
Owner
Growth team
Expected impact
+$620K potential
Next checkpoint
Executive review · Sep 2
Dependencies
Promote Family Space message learning
Acquisition efficiency
Owner
Creative team
Expected impact
+6–9% qualified sessions
Next checkpoint
Experiment close · Sep 4
Dependencies
Repair mobile attribution confidence
Acquisition efficiency
Owner
Data team
Expected impact
$74K clarified spend
Next checkpoint
Evidence audit · Sep 3
Dependencies
Capture decision-stage search topics
Market demand
Owner
Search team
Expected impact
3 underserved topics
Next checkpoint
Strategy approval · Sep 5
Dependencies
Scenario planning · Decision support
Explore the trade-offs before you commit.
Compare possible outcomes, assumptions and risks before choosing a path.
The Scenario Simulator helps teams examine “what if?” questions using the data and assumptions available to the workspace. Explore possible changes in channel mix, investment, audience or strategic priorities, and see which assumptions drive each scenario.
- Compare alternative planning scenarios.
- Make assumptions and constraints explicit.
- Review potential upside, downside and uncertainty.
- Use scenarios to support planning, not as a guarantee of future results.
A clearer view of the choices, before the choice is made.
Campaign 360 preflight · Static demo reading
Illustrative preflight: “Buy the vendor that can show its work, not the one with the loudest claim.”
The report below is fixed demo content, not a fresh analysis of this message, brief or tenant data.
This example demonstrates the review method. It does not predict campaign performance or recalculate when inputs change.
DEMO WORKSPACE · STATIC REFERENCE DATA
Planning envelope
$180,000
Review horizon
90 days
What these controls do
They define a review envelope. They do not manufacture a new forecast in the browser.
Incremental investment
+$0
Expected outcome
+7–10%
certified revenue
Assumptions
- Current demand remains stable
- Budget shifts stay inside approved channels
- Creative fatigue is resolved
Compare scenario
Incremental investment
+$180K
Expected outcome
+12–17%
certified revenue
Assumptions
- Search demand can absorb incremental budget
- Family Space learning holds
- Mobile attribution is repaired
Selected for review
Incremental investment
+$420K
Expected outcome
+18–26%
certified revenue
Assumptions
- Two new topics convert above baseline
- Sales capacity expands
- Competitor response remains limited
Compare scenario
Search visibility · SEO + Generative Engine Optimization
Compete wherever customers search, including AI-powered discovery.
Understand discoverability across traditional search and emerging answer engines.
YUPITR helps teams evaluate search visibility, content coverage and competitive presence across SEO and Generative Engine Optimization (GEO). It can highlight gaps in topics, pages and answers that matter to your audience, then help prioritize what to improve.
- Review visibility and content signals from connected or permitted sources.
- Identify topic and answer gaps against customer intent.
- Compare how your brand and competitors appear across relevant discovery surfaces.
- Prioritize improvements by opportunity and available evidence.
- Track changes over time where measurement is available.
Be easier to find, and more useful when customers do.
Organic visibility
38.4%
+3.4pp vs prior period
AI citation rate
27%
Observed answer samples
Topics monitored
128
6 shown below
Priority opportunities
14
Evidence-backed gaps
Search performance
Organic visibility vs. answer coverage
Fixed, declared topic set · Mar–May
Aggregate discovery efficiency
38.4%
Qualified topic visibility
Owned
2
Contested
1
Missing
1
Cross-verified against the declared topic and answer sample
Decision-stage gap
88% CONFIDENCEOwn the financing explanation gap
High decision-stage demand has no trusted, consistently cited answer from the demo brand.
Expected impact
+420 qualified visits / mo
Destination
Content Studio
Saves a draft for review. Nothing is approved or spent.
Evidence-backed opportunity
81% CONFIDENCEBuild a lifestyle comparison hub
No competitor owns the topic and CRM research notes show repeated comparison questions.
Expected impact
+310 qualified visits / mo
Destination
Content Studio
Saves a draft for review. Nothing is approved or spent.
YUPITR Intelligence
SEO & GEO Brief
Content Opportunities
Top content move
DEMO · GOVERNEDOwn the financing explanation gap
High decision-stage demand has no trusted, consistently cited answer from the demo brand.
READING
88%
STATUS
PREPARE
Controlled testing · Learn what moves the metric
Turn promising ideas into measurable experiments.
Test a hypothesis, define the measure and learn from the outcome.
YUPITR helps teams structure experiments around a clear hypothesis, an accountable owner and a measurable outcome. Recommendations can become reviewable drafts, while results remain distinct from expectations until evidence is recorded.
- Define the hypothesis and target metric before acting.
- Make the baseline, time window and success criteria visible.
- Record whether an action improved results, had a partial effect, made no detectable difference or worsened them.
- Keep the decision and its outcome in an auditable history.
- Reuse learning only when the evidence and approval process support it.
Every test should leave the team smarter, even when the result is “no effect.”
Measured result
Order conversion rate up 3.8–7.2%
Variant A · Control · 50%
24,080
observed 3.42%
Variant B · Challenger · 50%
24,120
observed 3.61%
95% credible interval · Bayesian hierarchical GLM
+3.8% to +7.2%
99% posterior probability the effect is in the direction shown
Always a range. A single number would be a promise the data cannot support, and the interval is what the decision is actually taken on.
Awaiting human decision
3
Ordered by review priority · no expiry is recorded
EXP-2026-08 · Human review required
Checkout guest express flow
Posterior
98.6%
Sample
48,200
Limits
3
Marketing mix modeling · Portfolio-level measurement
Understand how channels contribute to growth over time.
Look beyond last-click reporting to evaluate marketing’s broader contribution.
Marketing Mix Modeling (MMM) helps teams assess how marketing channels and other business factors relate to aggregate outcomes over time. YUPITR brings this portfolio-level view into the same decision environment as campaign performance, CRM outcomes and planning assumptions, so channel contribution can be discussed with context and limitations visible.
- Compare estimated channel contribution across a defined time period.
- Consider seasonality and other business factors where the model and data allow.
- Inform budget planning with portfolio-level evidence.
- Compare modeled contribution with platform and CRM reporting without treating them as interchangeable.
- Make assumptions, uncertainty and data coverage visible.
A broader view of contribution, not another platform’s conversion counter.
Demo model boundary
This interface demonstrates the governed contract. It does not claim that a production Meridian job, MCMC chain or geo-experiment has run.
UNCERTAINTY VISIBLETrue incrementality
What did media actually create that would not have happened without it?
Platform credit, baseline demand and Bayesian incremental contribution stay separate throughout the decision.
Meta over-reporting detected · −37%
Meta claims $142K in conversions; the modeled incremental contribution is $89K
The remaining $53K is baseline and organic demand that the represented model estimates would have converted without paid media. Confusing correlation with causality inflates apparent performance and penalizes high-intent channels.
Saves a draft for review. Nothing is approved or spent.
90% credible interval
$82K–$96K
Model fit
R² 0.94
Validation
Represented GeoX
What incrementality means here
Only a causal design carries an incremental value. A descriptive reading never gets promoted to one.
When a result is readable
A measurement window sits inside the time the spend was actually running.
Three different numbers
Observed credit, modelled incrementality and uncertainty never merge into one figure.
YUPITR Intelligence
Attribution Brief
True Incrementality
Next: Content Creator
Turn the insight into content that sounds like your company.
The next step is not a generic prompt. It is a creative brief grounded in your products, audience, evidence and brand voice.
YUPITR can pass a reviewed marketing insight into Content Creator as a structured brief: what the team is trying to achieve, who it is for, what evidence supports it, which channel it belongs to and what brand rules apply. Company-specific voice profiles (and, where supported by the configured workflow, LoRA-based style adaptation) help keep generated content aligned with each company rather than blending tenants together.
One company. One governed brand voice. Content shaped by real context.
Replicate successful campaign
Content library · Replicate successful campaign
Everything already created and used in a campaign, ranked by how it performed.
Top Creative
Meta + Google1Vitamin C Serum Ritual
TikTok2Botanical Skincare Duo
Google3Calm CBD Drops for Pets
More successful campaigns to replicate
Instagram4Autumn Lip & Balm Edit
Meta5Citrus Hand Care
TikTok + Instagram6Aromatherapy Body Wash Trio
Google7Night Body Oil & Lotion
Campaign concept
Place the products among soft, warm natural light and fresh botanicals to evoke calm and self-care. Let the visuals breathe; clean type on a single warm colour performed well in previous campaigns.
Target audience
Women 25–40 building a daily self-care routine, Monterrey and CDMX
Assets
Campaigns
+15% · illustrative demo forecast, not measured lift
Clone into workbench