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Coronium Mobile Proxies
Proxy Comparison Guide — Updated March 2026

Shared Proxy vs Private Proxy: Real Data, Not Marketing

Shared datacenter IPs have a 60%+ ban rate on hard targets. Dedicated mobile proxies: 5-10%. Here is every metric that matters.

The proxy industry sells shared IPs as "cost-effective" without disclosing that your IP reputation depends on every other user on that address. This guide breaks down shared, semi-dedicated, dedicated, and rotating proxies with real 2026 performance data — latency, ban rates, trust scores, and cost-per-successful-request analysis.

60%+Shared Ban Rate
5-10%Dedicated Ban Rate
4-10xLatency Gap

2026 Proxy Benchmarks

Shared Latency500-2,000ms
Dedicated Latency100-500ms
Shared Ban Rate60%+ hard targets
Dedicated Ban Rate5-10% mobile
Shared Cost$1-5/month
Dedicated Cost$10-50/mo (DC) / $27+ (mobile)
Article FocusShared vs Dedicated Analysis

Types of Proxy Access: Clear Definitions

The terms "shared," "private," "dedicated," and "rotating" get used interchangeably across the industry, creating confusion. Here is what each term actually means, with the numbers that matter.

The critical variable is how many users share a single IP address. Everything else — speed, ban rate, trust score, cost — flows directly from that number.

Shared Proxy

Users per IP

5-100+ users per IP

Cost

$1-5/month

Avg Latency

500-2,000ms avg latency

Ban Rate

60%+ on hard targets

Trust Score

Low — contaminated history

Best For

Low-risk scraping, testing, price checks

Semi-Dedicated Proxy

Users per IP

2-5 users per IP

Cost

$3-10/month

Avg Latency

300-1,000ms avg latency

Ban Rate

30-50% on hard targets

Trust Score

Medium — partially shared risk

Best For

Medium-risk scraping, limited account work

Private/Dedicated Proxy

Users per IP

1 user per IP (exclusive)

Cost

$10-50/mo datacenter, $27+ mobile

Avg Latency

100-500ms avg latency

Ban Rate

5-10% on hard targets (mobile)

Trust Score

High — clean, controlled history

Best For

Account management, social media, e-commerce

Rotating Proxy

Users per IP

Shared pool, new IP per request

Cost

$3-15/GB (residential)

Avg Latency

200-1,500ms avg latency

Ban Rate

Variable — depends on pool quality

Trust Score

Variable — pool reputation matters

Best For

Large-scale scraping, data collection at volume

Key insight: "Shared" and "dedicated" describe the access model, not the IP type. You can have a shared datacenter proxy, a shared residential proxy, or a shared mobile proxy. The same applies to dedicated. The access model (who else uses the IP) and the IP type (datacenter, residential, mobile) are two independent variables that together determine real-world performance.

Shared vs Dedicated Proxy: 12-Point Comparison

A side-by-side breakdown across every dimension that affects proxy performance. Data reflects 2026 industry benchmarks across datacenter, residential, and mobile proxy types.

FactorShared ProxyDedicated Proxy
Users per IP
5-100+
1 (exclusive)
Monthly Cost
$1-5
$10-50 DC / $27+ mobile
Avg Latency
500-2,000ms
100-500ms
Ban Rate (Hard Targets)
60%+
5-10% (mobile)
IP Trust Score
Low (20-50%)
High (85-99%)
Speed Consistency
Highly variable
Stable and predictable
IP History Control
Zero control
Full control
Account Linking Risk
High — other users share IP
None — IP is exclusive
Bandwidth
Shared among users
Full allocation
Setup Complexity
Plug and play
Minimal configuration
Scalability
Limited by congestion
Linear scaling
Best Use Case
Testing, low-risk scraping
Account mgmt, social media, e-com

Benchmarks based on aggregate 2025-2026 data across major proxy providers. "Hard targets" include Meta, Google, Amazon, TikTok, and other platforms with advanced anti-bot systems.

The Shared Proxy Problem: IP Contamination in Practice

The fundamental issue with shared proxies is not the sharing itself — it is the complete loss of control over your IP reputation. When 5-100+ users route traffic through the same IP address, each user's behavior directly affects every other user.

This is not theoretical. IP contamination happens daily on every shared proxy provider. Here are the four most common cascading failure patterns:

Spam cascade on a shared datacenter IP

One user sends bulk emails. The IP lands on Spamhaus and multiple RBLs. Every other user on that IP now has their legitimate email traffic rejected and their web requests flagged as suspicious. Recovery takes weeks — if the provider even rotates the IP.

Aggressive scraping triggers platform-wide blocks

A user hammers Amazon at 1,000 requests/minute on a shared IP. Amazon bans the IP. You connect 30 minutes later to check product prices — blocked immediately. You did nothing wrong, but you inherit the ban because the IP is shared.

Account linking across shared proxy users

Three different people manage Instagram accounts through the same shared proxy. Meta detects that multiple unrelated accounts operate from the same IP, flags all of them as potentially automated, and applies restrictions. Each user thinks their individual behavior was the trigger.

CAPTCHA amplification on degraded IPs

As a shared IP accumulates negative signals from multiple users, CAPTCHA frequency increases for everyone. What starts as occasional verification becomes every-request CAPTCHAs, making the proxy functionally unusable. The IP has been 'burned' by collective abuse.

How IP Trust Score Degrades on Shared Proxies

IP trust scores are cumulative. Every negative signal from any user on the IP adds to the score degradation. The timeline is predictable:

Day 1

Fresh IP assigned to shared pool. Trust score: 70-80% (datacenter) or 85-95% (residential/mobile). All users experience normal performance.

Week 1-2

First aggressive users trigger CAPTCHA increases. Trust score drops to 40-60%. Moderate users notice slower response times and more verification challenges.

Week 3-4

IP appears on abuse databases. Trust score: 20-40%. Social media platforms start applying shadowbans and rate limits to all traffic from this IP.

Month 2+

IP is effectively "burned." Major platforms block or severely rate-limit all requests. Trust score: sub-20%. Provider eventually retires the IP — and replaces it with another fresh one to restart the cycle.

The hidden cost: Shared proxy providers constantly rotate "burned" IPs out and fresh IPs in. Customers pay for the illusion of a working service while their success rate steadily declines as IPs degrade. The provider's incentive is to keep selling the same pool — not to maintain IP quality for any individual user.

When Shared Proxies Make Sense

Shared proxies are not universally bad — they have legitimate use cases where the cost savings outweigh the risks. The decision framework is straightforward: if a ban on the IP would not cause you significant financial or operational damage, shared proxies can work.

At $1-5/month, shared proxies are 5-50x cheaper than dedicated alternatives. For the following use cases, that price differential matters more than IP quality:

Price monitoring on public pages

Checking publicly available product pages where bans have minimal consequence. If the IP gets blocked, you lose a few data points — not an account worth hundreds of dollars.

Development and testing

Testing proxy integration in your application, verifying geo-targeting logic, or debugging connection flows. Speed and reputation do not matter in a staging environment.

Basic geo-unblocking

Accessing region-locked content where the website does not actively block proxy IPs. News sites, public forums, and non-protected content work fine through shared proxies.

Low-volume, low-risk data collection

Scraping a few hundred pages per day from sites with minimal anti-bot protection. The ban risk exists but is manageable if you are not dependent on consistent access.

The decision rule

Shared is fine when:
  • -A ban costs you nothing (no accounts at risk)
  • -Speed is not critical to your workflow
  • -Data loss from a block is recoverable
  • -You are testing, not running production
Shared is risky when:
  • -You manage accounts (social, e-commerce, ads)
  • -A ban means financial loss or rebuilding
  • -You need consistent latency under 500ms
  • -IP reputation directly affects your success rate

The Dedicated Proxy Advantage: Why 1:1 Dedication Wins

Dedicated proxies cost more upfront — $10-50/month for datacenter, $27+ for mobile. The premium buys you something shared proxies cannot provide at any price: complete control over your IP reputation and guaranteed isolation from other users' behavior.

Here is what that premium delivers in measurable terms:

Clean IP history from day one

100% clean

No previous abuse, no blacklist entries, no negative reputation from unknown users. Your dedicated IP starts with a blank slate and builds trust based exclusively on your behavior.

Predictable, consistent performance

100-500ms

No bandwidth competition with other users. Latency stays stable regardless of time of day or how many other customers the provider has. You get the full connection speed of the proxy infrastructure.

Zero account linking risk

0% shared

When your IP is exclusively yours, no stranger's activity can link to your accounts. Critical for social media management, e-commerce, and any workflow where account bans carry financial penalties.

Trust score builds over time

85-99%

Consistent, non-abusive usage from a single user builds positive IP history. Platforms gradually increase trust for IPs that show human-like patterns over weeks and months.

Long-term session stability

24/7 uptime

Dedicated proxies maintain persistent sessions without interruption. Essential for keeping accounts logged in, maintaining cookie states, and avoiding the re-authentication cycles that trigger security reviews.

Lower true cost-per-result

3-10x ROI

A $5 shared proxy that gets banned on 60% of requests costs more per successful action than a $27 dedicated proxy with a 5% ban rate. When you factor in lost accounts, wasted time, and retry costs, dedicated proxies are cheaper per successful outcome.

Cost-Per-Result Analysis: Shared vs Dedicated

The sticker price favors shared proxies. The cost per successful action tells the real story:

Shared Datacenter Proxy

Monthly cost:$3/month
Ban rate on hard targets:60%+
Successful requests (1,000 attempts):~400
Cost per 1,000 successes:$7.50
Account ban risk:High

Dedicated Mobile Proxy

Monthly cost:$27/month
Ban rate on hard targets:5-10%
Successful requests (1,000 attempts):~920
Cost per 1,000 successes:$2.93
Account ban risk:Minimal

Result: The $3/month shared proxy costs $7.50 per 1,000 successful actions. The $27/month dedicated mobile proxy costs $2.93 per 1,000 successful actions — 2.5x cheaper per result, with near-zero account ban risk.

Why Dedicated Mobile Proxies Outperform Everything Else

Within the dedicated proxy category, mobile proxies occupy the top tier. The reason is structural: mobile carrier IPs are shared by design among thousands of legitimate phone users via CGNAT (Carrier-Grade NAT). Platforms cannot aggressively block mobile IP ranges without blocking real customers.

This creates an inherent trust advantage that no datacenter or residential IP can match. When you combine this with dedicated access (1:1 device per customer), you get the highest possible trust score with zero contamination risk.

Datacenter

20-50%

Trust score range

IPs are easily identifiable as non-residential. Platforms flag them immediately for suspicious activity.

Residential

70-90%

Trust score range

Appear as home ISP connections. Good trust, but shared pools degrade over time as multiple customers use the same IPs.

Mobile (Dedicated)

90-99%

Trust score range

Carrier IPs with CGNAT protection. Platforms treat them as real mobile users. Dedicated access eliminates contamination.

Why CGNAT matters: Mobile carriers assign the same IP to hundreds or thousands of legitimate phone users simultaneously via CGNAT (Carrier-Grade Network Address Translation). Platforms like Meta, Google, and Amazon know this — they cannot block a mobile IP without blocking thousands of real customers. This structural protection makes mobile IPs inherently more trusted than any other proxy type, regardless of how they are used.

Coronium's Model: Dedicated Physical Devices vs Shared Pools

Most proxy providers operate shared pools. Even providers advertising "millions of IPs" are selling access to a shared resource — multiple customers rotate through the same addresses. Bright Data's 72M residential pool, Oxylabs' 100M pool, and Smartproxy's 65M pool are all shared infrastructure where your IP might have been used by dozens of other customers before you connect.

Coronium operates on a fundamentally different architecture: one physical device, one SIM card, one customer. This is not a marketing distinction — it is a structural guarantee that eliminates IP contamination at the hardware level.

Provider Architecture Comparison

ProviderPool SizeModelDedication
Bright Data72M residential IPsShared poolRotated among all customers
Oxylabs100M residential IPsShared poolRotated among all customers
Smartproxy65M residential IPsShared poolRotated among all customers
Coronium
Dedicated
Physical devices1:1 dedicatedYour device, your SIM, your IP

What 1:1 Dedication Means in Practice

Dedicated physical device with real SIM card per customer — not a shared pool
1:1 dedication: your modem, your SIM, your IP history — no other customer touches it
Real 4G/5G carrier IPs scoring 90-99% trust on major platforms
On-demand IP rotation via API or dashboard (10-20 second rotation cycle)
HTTP(S) and SOCKS5 protocol support for maximum compatibility
Unlimited bandwidth — no per-GB charges or throttling
10+ countries: USA, UK, Germany, France, Spain, Israel, India, and more
99.5%+ uptime with 24/7 monitoring and automatic failover

Shared Pool Model

  • IP may have been used by other customers
  • No control over IP history or reputation
  • Bandwidth shared with unknown users
  • Per-GB pricing adds up at scale
  • Trust score degrades from collective usage

Coronium 1:1 Model

  • Your physical device, your SIM — never shared
  • 100% clean IP history from day one
  • Full bandwidth — no congestion from others
  • Unlimited bandwidth — flat monthly pricing
  • Trust score builds from your behavior only

Choosing the Right Proxy Type: Decision Matrix

The correct proxy type depends on your use case, budget, and tolerance for risk. This matrix maps common tasks to their optimal proxy configuration:

Use CaseMinimum Proxy TypeOptimal Proxy TypeWhy
SEO rank trackingShared datacenterRotating residentialNo accounts at risk; volume matters more than trust
Price monitoringShared datacenterRotating residentialPublic data; bans are temporary inconveniences
Social media managementDedicated residentialDedicated mobileAccount bans are permanent; trust score is critical
E-commerce multi-accountDedicated residentialDedicated mobileAccount linking = instant suspension; need clean IPs
Ad verificationSemi-dedicatedRotating residentialNeed diverse geo-locations; moderate trust requirements
Ad account farmingDedicated mobileDedicated mobileHighest stakes; needs maximum trust score and IP isolation
Large-scale web scrapingShared datacenterRotating residentialVolume over trust; rotating IPs reduce block risk
Sneaker/ticket botsDedicated residentialDedicated mobileSpeed + trust required; DCs get banned instantly

Pattern: The higher the financial risk of a ban, the more you need dedicated access. For tasks where bans carry no consequence beyond minor inconvenience, shared proxies offer legitimate cost savings. For anything involving account management, financial transactions, or brand reputation, dedicated proxies — especially mobile — are not optional.

Shared Proxy Pools: What "Millions of IPs" Actually Means

Proxy providers advertise pool sizes as a selling point: "Access 72 million IPs." What they do not advertise is that those 72 million addresses are shared across their entire customer base. When Bright Data, Oxylabs, or Smartproxy says "residential proxy," they mean a residential IP that rotates among many customers.

This creates a fundamental misalignment: the provider profits by adding more customers to the same pool, while each additional customer degrades IP quality for everyone else. The larger the pool looks on paper, the more fragmented and overused it may be in practice.

How shared pools work in practice

1

IP assignment: You connect to the provider's gateway. The system assigns you an IP from the pool. This IP was likely used by another customer minutes ago. Their behavior — whatever it was — is now your IP's recent history.

2

Reputation inheritance: If the previous user scraped aggressively, sent spam, or triggered abuse detection, those negative signals are attached to the IP. You inherit them. The target site sees one IP with a history of bad behavior — it does not know (or care) that different people were behind it.

3

Degradation cycle: Popular IPs (in desirable geos) get used more frequently, accumulate more negative signals, and degrade faster. The provider either retires the IP or continues selling it at reduced quality. Users have no visibility into this process.

4

Pricing pressure: Shared pool providers charge per-GB ($3-15/GB for residential). High-volume users pay significantly more than the advertised entry price. A 100GB/month workflow costs $300-1,500/month on shared residential — often more than dedicated mobile proxies with unlimited bandwidth.

Performance Benchmarks: Shared vs Dedicated in 2026

Abstract comparisons hide the reality of day-to-day proxy performance. Here are concrete benchmarks across the metrics that directly affect operational efficiency, based on aggregate data from proxy monitoring services and independent testing in 2025-2026.

Latency Distribution

Shared Datacenter500-2,000ms
Semi-Dedicated300-1,000ms
Dedicated Datacenter100-400ms
Dedicated Mobile150-500ms

Average p50 response times measured across 10,000+ requests to major platforms.

Ban/Block Rates by Target

Meta (Facebook/Instagram)
Shared: 70%+Ded. Mobile: 8%
Google
Shared: 55%Ded. Mobile: 5%
Amazon
Shared: 65%Ded. Mobile: 7%
TikTok
Shared: 75%+Ded. Mobile: 6%
LinkedIn
Shared: 80%+Ded. Mobile: 10%

Ban rates for shared datacenter IPs vs dedicated mobile IPs on hardened targets.

Bandwidth and Speed Under Load

Shared proxies experience performance degradation during peak hours when more users compete for the same bandwidth. Dedicated proxies maintain consistent throughput because no other user is on the connection.

Shared — Peak Hours

1-5 Mbps

Severe congestion common

Semi-Dedicated — Peak

5-15 Mbps

Noticeable slowdowns

Dedicated Mobile — Peak

10-100 Mbps

No degradation

Why latency matters more than you think: A 500ms difference in response time compounds dramatically at scale. Running 10,000 requests through a shared proxy at 1,500ms average takes 4.2 hours. The same 10,000 requests through a dedicated proxy at 300ms average takes 50 minutes. Over a month, shared proxy users waste 100+ hours waiting for responses — time that has direct labor cost implications.

Coronium Technical Team

Published Jan 2024 · Updated March 2026

This comparison is based on aggregate performance data from proxy monitoring services, independent third-party testing, and Coronium's internal benchmarking across 10+ countries. All ban rate and latency figures represent averages across multiple testing periods in 2025-2026. Individual results vary based on target platform, geo-location, request patterns, and provider-specific infrastructure.

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Included Features

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Perfect For

Multi-account management
Web scraping without blocks
Geo-specific content access
Social media automation
500+Active Users
10+Countries
95%+Trust Score
20h/dSupport

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Stop Sharing Your IP With Strangers

Every hour on a shared proxy is an hour where someone else's behavior can damage your IP reputation, trigger bans on your accounts, and waste your time. Coronium's dedicated physical devices give you 1:1 IP control with real carrier trust scores.

1:1 dedicated devices · Real SIM cards · 10+ countries