Report Summary

  • 75

    Performance

    Renders faster than
    84% of other websites

  • 89

    Accessibility

    Visual factors better than
    that of 72% of websites

  • 92

    Best Practices

    More advanced features
    available than in
    81% of websites

  • 85

    SEO

    Google-friendlier than
    56% of websites

nearmepayday.loan

Payday Loans Near Me? Quick Short-Term Loans Online (24/7)

Page Load Speed

2.3 sec in total

First Response

276 ms

Resources Loaded

1.5 sec

Page Rendered

519 ms

nearmepayday.loan screenshot

About Website

Click here to check amazing Near Me Payday content. Otherwise, check out these important facts you probably never knew about nearmepayday.loan

Quick short term payday loans: apply online or find a location (loan company) near you. No fax needed cash advance upto $5000 even with BAD credit history.

Visit nearmepayday.loan

Key Findings

We analyzed Nearmepayday.loan page load time and found that the first response time was 276 ms and then it took 2 sec to load all DOM resources and completely render a web page. This is quite a good result, as only 35% of websites can load faster.

Performance Metrics

nearmepayday.loan performance score

75

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value1.7 s

93/100

10%

LCP (Largest Contentful Paint)

Value4.7 s

33/100

25%

SI (Speed Index)

Value2.5 s

98/100

10%

TBT (Total Blocking Time)

Value190 ms

91/100

30%

CLS (Cumulative Layout Shift)

Value0.137

80/100

15%

TTI (Time to Interactive)

Value4.4 s

84/100

10%

Network Requests Diagram

nearmepayday.loan

276 ms

style.min.css

14 ms

widget-options.css

471 ms

style.css

21 ms

custom.css

473 ms

Our browser made a total of 25 requests to load all elements on the main page. We found that 76% of them (19 requests) were addressed to the original Nearmepayday.loan, 8% (2 requests) were made to S3-us-west-2.amazonaws.com and 4% (1 request) were made to Googletagmanager.com. The less responsive or slowest element that took the longest time to load (599 ms) belongs to the original domain Nearmepayday.loan.

Page Optimization Overview & Recommendations

Page size can be reduced by 56.7 kB (31%)

Content Size

185.6 kB

After Optimization

128.8 kB

In fact, the total size of Nearmepayday.loan main page is 185.6 kB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 20% of websites need less resources to load. Images take 123.7 kB which makes up the majority of the site volume.

HTML Optimization

-70%

Potential reduce by 42.9 kB

  • Original 61.2 kB
  • After minification 61.2 kB
  • After compression 18.3 kB

HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 42.9 kB or 70% of the original size.

Image Optimization

-11%

Potential reduce by 13.8 kB

  • Original 123.7 kB
  • After minification 109.9 kB

Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Obviously, Near Me Payday needs image optimization as it can save up to 13.8 kB or 11% of the original volume. The most popular and efficient tools for JPEG and PNG image optimization are Jpegoptim and PNG Crush.

JavaScript Optimization

-3%

Potential reduce by 17 B

  • Original 655 B
  • After minification 655 B
  • After compression 638 B

It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. This website has mostly compressed JavaScripts.

Requests Breakdown

Number of requests can be reduced by 13 (54%)

Requests Now

24

After Optimization

11

The browser has sent 24 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Near Me Payday. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 11 to 1 for JavaScripts and from 4 to 1 for CSS and as a result speed up the page load time.

Accessibility Review

nearmepayday.loan accessibility score

89

Accessibility Issues

Contrast

These are opportunities to improve the legibility of your content.

Impact

Issue

High

Background and foreground colors do not have a sufficient contrast ratio.

Names and labels

These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.

Impact

Issue

High

Image elements do not have [alt] attributes

Best Practices

nearmepayday.loan best practices score

92

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

Low

Ensure CSP is effective against XSS attacks

General

Impact

Issue

Low

Detected JavaScript libraries

High

Page has valid source maps

SEO Factors

nearmepayday.loan SEO score

85

Search Engine Optimization Advices

Crawling and Indexing

To appear in search results, crawlers need access to your app.

Impact

Issue

High

Links are not crawlable

Content Best Practices

Format your HTML in a way that enables crawlers to better understand your app’s content.

Impact

Issue

High

Image elements do not have [alt] attributes

Mobile Friendly

Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).

Impact

Issue

High

Document uses legible font sizes

High

Tap targets are not sized appropriately

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    RU

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Nearmepayday.loan can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it does not match the claimed Russian language. Our system also found out that Nearmepayday.loan main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.

Social Sharing Optimization

Open Graph data is detected on the main page of Near Me Payday. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: