YUPITR Analytics

See what’s changing. Know what to do next.

Connect signals across your website, app, products, marketplaces, campaigns, competitors, and customers. YUPITR helps teams find the patterns behind performance, understand the evidence, and prepare the next decision.

From scattered signals to decisions you can inspect.

  • Google Analytics
  • Semrush
  • Android
  • iOS
  • Competitors
10:23
app.yupitr.com/analytics/marketplaces

Marketplaces · Demo data

TS

TikTok Shop MX

Growing fast · +184% month over month

MEASURING

NET

$27K

GROSS

$73K

Unit share12%+184% MoM
Return rate41.0%Against a 28% median
Affiliate share92%Creator driven

A single video by a creator the brand does not work with drove 412 units in nine days. The brand cannot edit it, cannot retire it and did not brief it, so the usual creative verbs do not apply here.

WHAT YOU CAN ACTUALLY MOVE HERE

Affiliate commission rateSample seedingListing allocation

The asset selling here is not yours to edit or retire.

Prepare a commission adjustment

Saves a draft for review. Nothing is approved or spent.

Competitor launched new offerPublic pricing page · 2 min ago
Customer CLTV increased 14%By segment
Product Category 3 increased 12%Week over week
Amazon grew 9%Against main competitor

One connected view

A clearer picture of performance across your business.

Bring channel results, pipeline quality, product behavior, and customer signals into one analytical view, so teams can see where performance is moving and where the picture is still incomplete.

Compare what platforms report with the outcomes your business tracks. See which signals are connected, which require review, and where attribution or data coverage leaves uncertainty.

  • Cross-channel performance
  • Connected to business outcomes
  • Evidence and coverage made visible
  • Observed, estimated, and unlinked data clearly distinguished
Insight to resolution actions: three open recommendations with expected impact, proposed action and human-control level

Questions, grounded in context

Ask a business question. Follow the evidence.

Ask about a trend, channel, product, or customer journey. YUPITR retrieves relevant records from the workspace and shows what supports the answer and what remains uncertain.

Explore the matching evidence, see its source and status, and prepare a follow-up for review. An answer does not approve, publish, spend, or execute an action.

Where are customers dropping out of the journey?Which products have enough data to evaluate?What competitor changes should we review?
  • Workspace-aware answers
  • Evidence you can inspect
  • Uncertainty stays visible
  • Drafts remain drafts until reviewed

Which products have enough data to evaluate?

Message capacity = 2Frequency = 1 day
Category
CategoryisWellness
Segment
SegmentisSegment 3
Buyer persona
Buyer personaisPersona 2
1

REALLOCATE CAPITAL · P1 · CRITICAL

Shift $1.2K budget from underperforming Commercial SMB Meta campaigns into Enterprise Experimental Testing.

Open Campaigns

Product
Reactivation suggested
Gmail2:43PM

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Customized message per buyer persona

Persona 1 Persona 2 Persona 5

A governed analytics loop

Turn an insight into a decision, with people in control.

Move from evidence to a proposed action, human review, permitted execution, and outcome measurement. Each step can remain visible in the decision record.

  1. 1

    Detect

    Identify a meaningful change or opportunity.

  2. 2

    Inspect

    Review the evidence, sources, and uncertainty.

  3. 3

    Prepare

    Create a proposed action for review.

  4. 4

    Decide

    Approve, revise, or dismiss it.

  5. 5

    Measure

    Record what happened and what the evidence showed.

Recommendations are not execution. Review and permission come first.

Overview

Scenario finding

Synthetic · not externally verified

Why did conversion drop on mobile?

A checkout validation release explains most of the decline; a concurrent shift toward lower-intent paid traffic amplified it.

Driver signals

3

Evidence classes

4

Review scenario evidence

Recommendations 3 listed

View all →

PAID MEDIA · 89% confidence

Campaign A is producing more qualified demand than Campaign B.

Review a $18,400 budget reallocation from Meta Campaign B to Campaign A. +8–12% qualified conversions

Awaiting an accountable decision. · Open Campaigns →

Market & Competitors

Macro telemetry pulse

4M AGO

48 Ingestion Feeds32ms Latency

Google Trends MX142k Prompts

Category benchmark scanSync 100%

◎ Top market signal

“Regulated fleets pay a 22% premium for a vendor that can produce an audit-ready compliance report; 82% of the category still cannot.”

Causal whitespace: Enterprise & Regulated

Strategic interceptions

P1 · WHITESPACE+$640K

Capture the uncaptured demand for audit-ready emissions reporting.

Saturation 8%Interception plan →

Customers

Today’s top insight · 94%

Post-sale delay in Monterrey exposes $240K of B2B lifetime value.

WhatsApp resolution is 3.4× faster; ownership transfer remains the causal bottleneck.

Open full evidence →

Active recommendations

3 URGENT

Deploy support mitigation

Assign two senior agents and enable technical-inspection scheduling.

Protect top advocates

Prepare governed referral activation for the resolved Tier 1 cohort.

Verify voice shift

Trace electrical-reliability language across 1,420 governed conversations.

Marketplaces

An authorised distributor undercut the brand

−$32,400 estimated contribution over 14 days · Mercado Libre

Prepare

Saves a draft for review. Nothing is approved or spent.

A hero product runs out mid-flight

−$8,400 estimated wasted spend · Cross-platform

Prepare

Saves a draft for review. Nothing is approved or spent.

Seller standing

Mercado Libre2.1% claims rateReputation green
AmazonOrder defect rate below 0.4%Account health normal
CRM
API
MCP
Policy

01

Detect

SignalMobile CR −18%
OwnerEngine

02

Inspect

Evidence4 classes
StatusSynthetic

03

Prepare

Draft$18.4K shift
LevelL2 human

04

Decide

ApproverHead of Growth
ResultApproved

05

Measure

Window14 days
Outcome+9% recorded

Understand the experience

Find the friction behind the funnel.

Follow the journey from first visit to repeat use. See where users progress, where they hesitate, and which product or app experiences may deserve closer attention.

Analyze channel volume alongside direct conversion, diagnose funnel drop-off, review feature adoption and retention, and monitor app-store presence and component health. Low-volume areas should be treated as unmeasured, not automatically as failures.

  • Funnel and drop-off diagnostics
  • Product usage and retention
  • Feature health and adoption
  • Sample-size awareness

Net promoter score

62+6 pts

vs previous month

Promoters: 74% · Detractors: 12%

Average sentiment

78.4%+3.2%

Favorable sentiment

68% Positive · 21% Neutral · 11% Critical

Direct advocacy

34.2%+4.1%

New referred prospects

1 in 3 closes comes from a referral

Active pain point #1

Technical-delivery delay

32% mentions negative

Wait: 4.8 days (SLA: 24h)

First response time

18 min−12 min

Overall acceleration

WA: 4m · Mail: 2.8h · 91% identity

Logistics & Last Mile

Tier 1 B2B · Region: Monterrey, Apodaca & Pesquería

Top advocates (CSAT 94%)

Cohort NPS

78

Renewal rate

96%

Time to close

18 days

High-performance driver

High satisfaction is driven by preventive-maintenance bundling and under-two-hour express response for maneuvering-yard requests.

“On-site operational support prevented three line stoppages this quarter. WhatsApp response speed is unmatched.”

42 active institutional contractsView cohort breakdown →

Mixed Commercial

SMB / Retail · Region: Santa Catarina & Saltillo

Elevated risk (CSAT 61%)

Cohort NPS

24

Churn risk

28%

Open tickets

48 active

Severe friction detected

Severe friction caused by poor visibility into municipal CFE procedures and opaque common-maintenance fees during the first month of occupancy.

! Urgent review required: 14 commercial contracts expire within 60 days without a renewal request.

Exposure: $182k USDActivate emergency retention →

Look beyond gross sales

Understand what each product and marketplace really contributes.

Compare product and channel performance using the signals that shape the economics: net contribution, fees, fulfillment, returns, inventory, and marketplace position.

Surface potential margin leaks, products that need more evidence, inventory risks, and marketplace-specific constraints. Prepare a recommendation for review without implying that YUPITR changed a listing, budget, or marketplace account.

  • Net contribution, not just gross sales
  • Returns, fees, and fulfillment
  • Inventory-aware recommendations
  • Unmeasured is not underperforming
Save
Marketplace contribution

Catalogue by cluster

441 SKUs in total

Filters 2KPI Net margin Marketplace

Footwear cluster [LLM]

100 listings in total

Net margin

12.4%13%4%

Net revenue

$15,23416%5%

Units sold

161,17011%8%

Activewear cluster [LLM]

84 listings in total

Net margin

9.6%12%2%

Net revenue

$10,20412%2%

Units sold

249,74010%9%

Accessories cluster [LLM]

57 listings in total

Net margin

14.0%5%3%

Net revenue

$19,6049%9%

Units sold

552,14313%9%

Save Export

Footwear cluster [LLM]

100 listings in total

Net margin

12.4%13%4%

Net revenue

$15,23416%5%

Units sold

161,17011%8%

See the market move

Connect market signals to your next strategic question.

Bring together campaign performance, category demand, segment economics, and changes observed in permitted public sources.

Explore how demand and competitive activity may be changing, compare opportunity across segments, and identify areas that may warrant investigation. A detected public-page change is an observation, not proof of its commercial impact or intent.

  • Campaign and channel contribution
  • Market and category signals
  • Segment opportunity and economics
  • Public-source changes with context
  • Observation is not attribution

Macro Demand Dynamics: CLTV vs. CAC & Velocity Matrix

Cross-analysis of customer lifetime value (CLTV), acquisition cost and sales-cycle velocity by segment

48 CATEGORY FEEDS · REVISED TODAY

Regulated fleet compliance

High opportunity / low CAC

+310% YoY

$850KBase CLTV

CAC: Very low ($1.8K)

Sales cycle: 1.4 months92% B2B satisfaction

Multi-site mid-market operators

Accelerated growth

+165% YoY

$140KBase CLTV

CAC: Medium ($3.2K)

Sales cycle: 2.8 monthsExpansion traction

Owner-operator starter tracking

Margin risk

+42% YoY

$65KBase CLTV

CAC: High ($5.8K)

Sales cycle: 6.2 monthsChannel saturation

Legacy on-premise telematics

Efficiency leakage

−18% YoY

$95KBase CLTV

CAC: Very high ($9.4K)

Sales cycle: 11.4 monthsCategory decline

Capital allocation rules

3.8xAverage CLTV/CAC Ratio

Corporate budget is moving to vendors with explicit compliance commitments and an implementation under nine months.

  • Green: High opportunity / scale B2B media
  • Blue: Accelerated growth / capture contracts
  • Amber: Margin risk / reduce spend
  • Red: Efficiency leakage / divest

Calculations supported by first-party CRM and category benchmarks

Understand the customer journey

Find the moments that build loyalty or create friction.

Bring journey behavior, customer feedback, sentiment, advocacy, and service signals together to identify where the experience is working and where customers may need attention.

Explore sentiment by touchpoint, common reasons customers recommend or complain, cohort-level health, and potential retention risks. Keep the source, time period, sample, and confidence visible so teams can judge what a signal means.

  • Journey-level customer signals
  • Sentiment and advocacy drivers
  • Friction and retention risks
  • Cohorts, sources, and confidence
Ver. 2 +1.4 score lift

Customer Signal

7.4/10

Scoring Breakdown

Authenticity9.1
Product clarity8.6
Brand fit8.7

Simulated customers · not a live audience

Customer Simulator

“Feels more human”

JJustinLoved the shopping experience

“Increased CLTV by 7%”

MMarcoExcellent shipping and service

Buyer Persona Segment #2

Warmer light, less symmetry, and clearer product entry.

Built for careful decisions

Know what the data says, and what it doesn’t.

YUPITR should make evidence, coverage, source status, and uncertainty visible so teams can distinguish an observation from an inference or a projection.

  1. 01

    Show sources and relevant time periods.

  2. 02

    Distinguish observed, estimated, synthetic, and simulated information.

  3. 03

    Make missing or unlinked data visible.

  4. 04

    Keep human review and permissions in the decision path.

  5. 05

    Do not present a projected impact as a measured result.

Confidence is useful only when you can see what it is based on.

Start with a business question

See the signal. Inspect the evidence. Decide what happens next.

Explore how YUPITR connects analytics to a reviewable, measurable decision process.

Analytics that helps your team move from “what changed?” to “what should we review next?”