Company Profile

Rent.it

Detailed analytics and market benchmark

Reliability Index: 23.3
Market Rank: #33
Percentile: 9%
Executive summary

What this profile says

This company currently shows risk signals that can limit growth if not addressed in the next cycles.

Rent.it is ranked #33 and sits at the 9th percentile in the current market snapshot.

Current traffic is 14K, with month-over-month momentum at +46.5%.

Aggregated rating is 3.90, while cross-platform spread is —.

Operational coverage includes — suppliers and 6 languages.

CompanyMarket average+-
Metric
Company
Gap vs market
Market average
Reliability Index
23.3
-46%
43.0
Rating
3.90
0%
3.91
Traffic
14K
-98%
638K
Languages
6
-51%
12.37
Outlook: Signals point to pressure; recovery should focus on core trust and demand metrics first.

Reliability Index breakdown

Current formula
25% Traffic + 25% Reviews + 25% Suppliers + 25% Languages
Normalized
TrafficRatingSuppliersLanguages
Contribution
Traffic+0.1Rating+19.5Suppliers+0.0Languages+3.7Total23.3
ComponentWeightNormalizedContribution
Traffic25%0.0040.10
Rating25%0.78019.50
Suppliers25%0.0000.00
Languages25%0.1463.66
Reliability Index100%23.26

Review platform comparison

Trustpilot
3.90 · 1,493 reviews
Google Reviews
·
Reviews.io
·
Review Centre
·
Review spread
Dominant source
Trustpilot

Signal narrative

A plain-language read of strengths, risks, and what deserves attention next.

Current strengths

Demand momentum
Latest traffic momentum is +46.5% month over month.

Current risks

Trust gap
Reliability is currently -19.7 versus market average.
Coverage gap
Coverage is below market on suppliers (—) or languages (-6).
Low confidence data
Data confidence is currently low; decisions should be validated as new months arrive.

Performance insights

Competitive position
#33
Percentile: 9%
Reliability vs market: -19.7
Reputation signal
3.90
Review spread:
Dominant source: Trustpilot
Demand momentum
14K
Traffic month-over-month: +46.5%
Data points: 3
Coverage depth
Suppliers:
Languages: -6
Reliability vs market
-19.7
Traffic month-over-month
+46.5%
Review spread

Profile badges

Traffic momentum
Recent traffic growth is strong versus last month.
Data confidence
Confidence score: 33 · Low confidence
Coverage: 1/4 review sources · History (traffic/reviews/reliability months): 3/2/2

Improvement priorities

MetricCompanyMarket averageGap vs market
Traffic14K638K-97.9%
Languages612.37-51.5%
Reliability Index23.343.0-45.9%

Similar companies cohort

Nearest peers by scale and profile signals.
HAPPEPDRIRHIAIRTrafficRating
CompanySuggested competitors
CompanyReliability IndexRatingTrafficSuppliersLanguages
Rent.it23.33.9014K6
Happy Car40.53.6848K217
Pepecar35.93.9090K164
Drive Now30.44.5741K81
Rhino Car Hire34.43.90131K161
Airport Rentals37.24.5092K118
Cohort average35.74.1180K14.44.2

Change timeline

Traffic change (first vs latest)
+1,562
Rating change (first vs latest)
0.00
Reliability change (first vs latest)
-6.33
Timeline cards use the first and latest available month per metric.

Reliability what-if simulator

Adjust multipliers to estimate how the Reliability Index could move.
23.3Scenario reliability index
Current reliability index
23.30
Scenario reliability index
23.26
Expected delta: -0.04
Simulation uses current normalized factors and active weights. It is directional, not a guarantee.
Normalized
Traffic0.00 0.00
Rating0.78 0.78
Suppliers0.00 0.00
Languages0.15 0.15

Historical trends

Reliability Index trend
February 2026
30.8
March 2026
24.5
Aggregated rating trend
February 2026
3.90 · 1K
March 2026
3.90 · 1K
What this means

Traffic changed by +1,562 between the first and latest available month.

Aggregated rating changed by 0.00 between the first and latest observed month.

Reliability changed by -6.33 over the currently available history window.

Compare with competitors

Add up to two companies to benchmark side by side.

Suggested competitors
Select one or two competitors to start side-by-side comparison.
Comparison read: Pick one or two competitors to generate an apples-to-apples comparison narrative.

Traffic trend

November 2025
12K
December 2025
9K
January 2026
14K
Current month
14K
Previous month
9K
Month-over-month
+46.5%

30 / 60 / 90 day action plan

A practical plan based on current weak signals and scenario potential.

Next 30 days
  • Run a baseline audit for Traffic across your top markets.
  • Quantify current gap to market (-97.9%) and set a realistic quarterly target.
Days 31-60
  • Launch one focused improvement sprint for Traffic and monitor weekly movement.
  • Use scenario analysis as guardrails; current modeled delta is -0.04.
Days 61-90
  • Review impact against baseline and formalize a repeatable playbook around Traffic.
  • Publish an internal scorecard so Rent.it teams track progress continuously.

Market benchmark

MetricCompanyMarket averageCompany percentile
Reliability Index23.343.09%
Rating3.903.9143%
Traffic14K638K3%
Suppliers16.38
Languages612.3737%
Benchmark read: The company is at or above market on 0 out of 5 core benchmark metrics.

Company facts

Primary domain
rent.it
Active domains
rent.it
Suppliers
Languages
6
Description

Data freshness

Reviews updatedMarch 2026
Traffic updatedJanuary 2026
Ranking updatedMarch 2026
Attributes updatedMarch 2026

Methodology and interpretation guide

How to read this profile, where data comes from, and what constraints to keep in mind.

This profile combines ratings, traffic, suppliers, and language coverage into a consistent comparative frame. The goal is directional clarity, not perfect prediction.

Interpret trends as movement signals over available history windows. Short history can still be useful, but confidence is lower and should be treated carefully.

Known limitations: Some metrics refresh on different cadences, and platform coverage can vary by company. Always pair this view with business context before making high-impact decisions.

Quick FAQ

Why can a company have strong rating but weaker reliability?

Reliability combines multiple signals. A strong rating can be offset by weaker traffic, coverage, or limited data depth.

Why does the what-if simulator not guarantee the result?

The simulator is directional: it applies current normalized factors and weights. Real-world outcomes depend on actual market behavior and future data.

How should we use this page operationally?

Use it as a weekly decision surface: identify the weakest metric, run one improvement loop, and re-check movement against market and cohort.