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reflektion.com Open in urlscan Pro
52.54.30.92  Public Scan

Go To Rescan Add Verdict Report
Submitted URL: https://hello.reflektion.com/api/mailings/click/PMRGSZBCHIYTCNZVGI4TOLBCOVZGYIR2EJUHI5DQOM5C6L3SMVTGYZLLORUW63ROMNXW2L3BOV2G6...
Effective URL: https://reflektion.com/auto-parts-ecommerce-site/
Submission: On January 12 via manual from US
 Behaviour Indicators
Similar DOM Content API
Verdicts

Summary

This website contacted 21 IPs in 6 countries across 18 domains to perform 64 HTTP transactions. The main IP is 52.54.30.92, located in Ashburn, United States and belongs to AMAZON-AES, US. The main domain is reflektion.com.
TLS certificate: Issued by Amazon on April 23rd 2020. Valid for: a year.
This is the only time reflektion.com was scanned on urlscan.io!

urlscan.io Verdict: No classification

Domain & IP information

IP Address AS Autonomous System
1 1 35.167.165.76 16509 (AMAZON-02)
30 52.54.30.92 14618 (AMAZON-AES)
1 2a00:1450:400... 15169 (GOOGLE)
1 2a00:1450:400... 15169 (GOOGLE)
1 2a00:1450:400... 15169 (GOOGLE)
1 2a02:26f0:6c0... 20940 (AKAMAI-ASN1)
1 143.204.97.161 16509 (AMAZON-02)
1 194.116.175.12 15510 (CWCS-PS C...)
5 104.75.88.112 16625 (AKAMAI-AS)
1 2a04:4e42:1b:... 54113 (FASTLY)
2 2a03:2880:f01... 32934 (FACEBOOK)
4 2a00:1450:400... 15169 (GOOGLE)
3 13.225.80.56 16509 (AMAZON-02)
3 13.225.80.120 16509 (AMAZON-02)
1 2 2a05:f500:11:... 14413 (LINKEDIN)
1 1 2620:1ec:21::14 8068 (MICROSOFT...)
1 2a00:1450:400... 15169 (GOOGLE)
2 2a03:2880:f11... 32934 (FACEBOOK)
1 2.18.235.40 16625 (AKAMAI-AS)
2 2 52.51.224.103 16509 (AMAZON-02)
2 52.21.178.134 14618 (AMAZON-AES)
1 52.208.188.183 16509 (AMAZON-02)
1 35.174.151.106 14618 (AMAZON-AES)
64 21
1    35.167.165.76 (Boardman, United States)

ASN16509 (AMAZON-02, US)
PTR: ec2-35-167-165-76.us-west-2.compute.amazonaws.com
hello.reflektion.com
30    52.54.30.92 (Ashburn, United States)

ASN14618 (AMAZON-AES, US)
PTR: ec2-52-54-30-92.compute-1.amazonaws.com
reflektion.com
1    2a00:1450:4001:80b::2008 (Frankfurt am Main, Germany)

ASN15169 (GOOGLE, US)
www.googletagmanager.com
1    2a00:1450:4001:821::200a (Frankfurt am Main, Germany)

ASN15169 (GOOGLE, US)
fonts.googleapis.com
1    2a00:1450:4001:808::200e (Frankfurt am Main, Germany)

ASN15169 (GOOGLE, US)
www.google-analytics.com
1    2a02:26f0:6c00:28c::25ea (Ascension Island)

ASN20940 (AKAMAI-ASN1, NL)
snap.licdn.com
1    143.204.97.161 (Seattle, United States)

ASN16509 (AMAZON-02, US)
PTR: server-143-204-97-161.fra50.r.cloudfront.net
js.adsrvr.org
1    194.116.175.12 (United Kingdom)

ASN15510 (CWCS-PS CompuWeb Communications Services Ltd, GB)
PTR: server3.virtualnet.co.uk
e2eg.co.uk
5    104.75.88.112 (Netherlands)

ASN16625 (AKAMAI-AS, US)
PTR: a104-75-88-112.deploy.static.akamaitechnologies.com
s7.addthis.com
v1.addthisedge.com
m.addthis.com
1    2a04:4e42:1b::621 (Ascension Island)

ASN54113 (FASTLY, US)
cdn.jsdelivr.net
2    2a03:2880:f01c:8012:face:b00c:0:3 (Ireland)

ASN32934 (FACEBOOK, US)
connect.facebook.net
4    2a00:1450:4001:824::2003 (Frankfurt am Main, Germany)

ASN15169 (GOOGLE, US)
fonts.gstatic.com
3    13.225.80.56 (Seattle, United States)

ASN16509 (AMAZON-02, US)
PTR: server-13-225-80-56.fra2.r.cloudfront.net
vidassets.terminus.services
3    13.225.80.120 (Seattle, United States)

ASN16509 (AMAZON-02, US)
PTR: server-13-225-80-120.fra2.r.cloudfront.net
snid.snitcher.com
2    2a05:f500:11:101::b93f:9005 (Ireland)

ASN14413 (LINKEDIN, US)
px.ads.linkedin.com
1    2620:1ec:21::14 (United States)

ASN8068 (MICROSOFT-CORP-MSN-AS-BLOCK, US)
www.linkedin.com
1    2a00:1450:4001:816::200e (Frankfurt am Main, Germany)

ASN15169 (GOOGLE, US)
www.google-analytics.com
2    2a03:2880:f11c:8183:face:b00c:0:25de (Ireland)

ASN32934 (FACEBOOK, US)
www.facebook.com
1    2.18.235.40 (Ascension Island)

ASN16625 (AKAMAI-AS, US)
PTR: a2-18-235-40.deploy.static.akamaitechnologies.com
z.moatads.com
2    52.51.224.103 (Dublin, Ireland)

ASN16509 (AMAZON-02, US)
PTR: ec2-52-51-224-103.eu-west-1.compute.amazonaws.com
match.adsrvr.org
2    52.21.178.134 (Ashburn, United States)

ASN14618 (AMAZON-AES, US)
PTR: pi0-lba1-2-ue1.aws.pardot.com
pi.pardot.com
1    52.208.188.183 (Dublin, Ireland)

ASN16509 (AMAZON-02, US)
PTR: ec2-52-208-188-183.eu-west-1.compute.amazonaws.com
insight.adsrvr.org
1    35.174.151.106 (Ashburn, United States)

ASN14618 (AMAZON-AES, US)
PTR: pi0-lba1-4-ue1.aws.pardot.com
pages.reflektion.com
Domain Requested by
30 reflektion.com reflektion.com
4 fonts.gstatic.com fonts.googleapis.com
3 snid.snitcher.com reflektion.com
snid.snitcher.com
3 vidassets.terminus.services www.googletagmanager.com
reflektion.com
3 s7.addthis.com reflektion.com
s7.addthis.com
2 pi.pardot.com reflektion.com
pi.pardot.com
2 match.adsrvr.org 2 redirects
2 www.facebook.com reflektion.com
connect.facebook.net
2 px.ads.linkedin.com 1 redirects reflektion.com
2 connect.facebook.net reflektion.com
connect.facebook.net
2 www.google-analytics.com www.googletagmanager.com
www.google-analytics.com
1 pages.reflektion.com pi.pardot.com
1 m.addthis.com s7.addthis.com
1 v1.addthisedge.com s7.addthis.com
1 insight.adsrvr.org js.adsrvr.org
1 z.moatads.com s7.addthis.com
1 www.linkedin.com 1 redirects
1 cdn.jsdelivr.net reflektion.com
1 e2eg.co.uk reflektion.com
1 js.adsrvr.org reflektion.com
1 snap.licdn.com www.googletagmanager.com
1 fonts.googleapis.com reflektion.com
1 www.googletagmanager.com reflektion.com
1 hello.reflektion.com 1 redirects
64 24
Subject Issuer Validity Valid
reflektion.com
Amazon		 2020-04-23 -
2021-05-23		 a year crt.sh
*.google-analytics.com
GTS CA 1O1		 2020-12-15 -
2021-03-09		 3 months crt.sh
upload.video.google.com
GTS CA 1O1		 2020-12-15 -
2021-03-09		 3 months crt.sh
*.licdn.com
DigiCert SHA2 Secure Server CA		 2019-04-01 -
2021-05-07		 2 years crt.sh
*.adsrvr.org
Trustwave Organization Validation SHA256 CA, Level 1		 2019-03-07 -
2021-04-19		 2 years crt.sh
e2eg.co.uk
Starfield Secure Certificate Authority - G2		 2019-12-11 -
2021-12-24		 2 years crt.sh
odc-prod-01.oracle.com
DigiCert SHA2 Secure Server CA		 2021-01-10 -
2021-04-07		 3 months crt.sh
f3.shared.global.fastly.net
GlobalSign CloudSSL CA - SHA256 - G3		 2020-10-26 -
2021-04-17		 6 months crt.sh
*.facebook.com
DigiCert SHA2 High Assurance Server CA		 2020-12-22 -
2021-03-21		 3 months crt.sh
*.gstatic.com
GTS CA 1O1		 2020-12-15 -
2021-03-09		 3 months crt.sh
*.terminus.services
Amazon		 2020-12-16 -
2022-01-14		 a year crt.sh
snitcher.com
Amazon		 2020-11-18 -
2021-12-17		 a year crt.sh
px.ads.linkedin.com
DigiCert SHA2 Secure Server CA		 2021-01-06 -
2021-07-05		 6 months crt.sh
moatads.com
DigiCert SHA2 Secure Server CA		 2020-01-17 -
2021-03-17		 a year crt.sh
pi.pardot.com
DigiCert SHA2 Secure Server CA		 2020-12-05 -
2021-12-04		 a year crt.sh
pages.reflektion.com
R3		 2020-12-04 -
2021-03-04		 3 months crt.sh

This page contains 4 frames:

Primary Page: https://reflektion.com/auto-parts-ecommerce-site/
Frame ID: F8D7F34B2CE3E0EDC671FF54DB9176CD
Requests: 61 HTTP requests in this frame

Frame: https://insight.adsrvr.org/track/up?adv=wj1z88r&ref=https%3A%2F%2Freflektion.com%2Fauto-parts-ecommerce-site%2F&upid=uuff51p&upv=1.1.0
Frame ID: 52E846BE395E066450F24BC3D3B53D94
Requests: 1 HTTP requests in this frame

Frame: https://s7.addthis.com/static/sh.f48a1a04fe8dbf021b4cda1d.html
Frame ID: 6D6EEE32698FC0900356DA5A350D787A
Requests: 1 HTTP requests in this frame

Frame: https://s7.addthis.com/static/sh.f48a1a04fe8dbf021b4cda1d.html
Frame ID: 167B23A89B1026025AE82F619275BD54
Requests: 1 HTTP requests in this frame

Screenshot
Live screenshot
Full Image

Page URL History Show full URLs

  1. https://hello.reflektion.com/api/mailings/click/PMRGSZBCHIYTCNZVGI4TOLBCOVZGYIR2EJUHI5DQOM5C6L3SMVTGYZLLO... HTTP 302
    https://reflektion.com/auto-parts-ecommerce-site/ Page URL

Detected technologies

Overall confidence: 100%
Detected patterns
  • headers link /rel="https:\/\/api\.w\.org\/"/i
Overall confidence: 100%
Detected patterns
  • headers server /php\/?([\d.]+)?/i
  • headers link /rel="https:\/\/api\.w\.org\/"/i
Overall confidence: 100%
Detected patterns
  • headers link /rel="https:\/\/api\.w\.org\/"/i
Overall confidence: 100%
Detected patterns
  • headers server /\(Amazon\)/i
Overall confidence: 100%
Detected patterns
  • headers server /(?:Apache(?:$|\/([\d.]+)|[^/-])|(?:^|\b)HTTPD)/i
Overall confidence: 100%
Detected patterns
  • headers server /\(Amazon\)/i

Page Statistics

64
Requests

98 %
HTTPS

48 %
IPv6

18
Domains

24
Subdomains

21
IPs

6
Countries

1917 kB
Transfer

2719 kB
Size

15
Cookies

Page URL History

This captures the URL locations of the websites, including HTTP redirects and client-side redirects via JavaScript or Meta fields.

  1. https://hello.reflektion.com/api/mailings/click/PMRGSZBCHIYTCNZVGI4TOLBCOVZGYIR2EJUHI5DQOM5C6L3SMVTGYZLLORUW63ROMNXW2L3BOV2G6LLQMFZHI4ZNMVRW63LNMVZGGZJNONUXIZJPEIWCE33SM4RDUIRTHFSWIZJWMU4C2ODBG43C2NBXMU2C2OBVMFTC2ODFHFTDEZRYHBSTONTFEIWCE5TFOJZWS33OEI5CENBCFQRHG2LHEI5CEMJTI5LUU2LKINPWSSTNGNUUQ5KUNN4WIVKQL42UUWBNIJSXMNZRPFZEO6JNPFDEU52JM46SE7I= HTTP 302
    https://reflektion.com/auto-parts-ecommerce-site/ Page URL

Redirected requests

There were HTTP redirect chains for the following requests:

Request Chain 45
  • https://px.ads.linkedin.com/collect?v=2&fmt=js&pid=1026633&time=1610489940903&url=https%3A%2F%2Freflektion.com%2Fauto-parts-ecommerce-site%2F HTTP 302
  • https://www.linkedin.com/px/li_sync?redirect=https%3A%2F%2Fpx.ads.linkedin.com%2Fcollect%3Fv%3D2%26fmt%3Djs%26pid%3D1026633%26time%3D1610489940903%26url%3Dhttps%253A%252F%252Freflektion.com%252Fauto-parts-ecommerce-site%252F%26liSync%3Dtrue HTTP 302
  • https://px.ads.linkedin.com/collect?v=2&fmt=js&pid=1026633&time=1610489940903&url=https%3A%2F%2Freflektion.com%2Fauto-parts-ecommerce-site%2F&liSync=true
Request Chain 52
  • https://match.adsrvr.org/track/cmf/generic?ttd_pid=terminus&ttd_tpi=1&ttd_puid=48bc43eb-5dbb-459f-a926-5810431283e4|e40b5897-7f9b-48c5-9ff7-e3e83c4dcd50 HTTP 302
  • https://match.adsrvr.org/track/cmb/generic?ttd_pid=terminus&ttd_tpi=1&ttd_puid=48bc43eb-5dbb-459f-a926-5810431283e4|e40b5897-7f9b-48c5-9ff7-e3e83c4dcd50 HTTP 302
  • https://vidassets.terminus.services/s.gif?d=48bc43eb-5dbb-459f-a926-5810431283e4|e40b5897-7f9b-48c5-9ff7-e3e83c4dcd50&t=7e19bb36-b340-4e98-a745-d459e0d6acf4

64 HTTP transactions

Resource
Path		 Size
x-fer		 Type
MIME-Type
Primary Request /
reflektion.com/auto-parts-ecommerce-site/
Redirect Chain
  • https://hello.reflektion.com/api/mailings/click/PMRGSZBCHIYTCNZVGI4TOLBCOVZGYIR2EJUHI5DQOM5C6L3SMVTGYZLLORUW63ROMNXW2L3BOV2G6LLQMFZHI4ZNMVRW63LNMVZGGZJNONUXIZJPEIWCE33SM4RDUIRTHFSWIZJWMU4C2ODBG43C2...
  • https://reflektion.com/auto-parts-ecommerce-site/
112 KB
113 KB 		Document
General
Check archive.org
Download Go to
Full URL
https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
ec2-52-54-30-92.compute-1.amazonaws.com
Software
Apache/2.4.46 (Amazon) PHP/7.1.33 / PHP/7.1.33
Resource Hash
6f9e3ec78980a2f64a520d115e705a8baaff1e45bfd4688d8f3f147c2dfcbb0f

Request headers

:method
GET
:authority
reflektion.com
:scheme
https
:path
/auto-parts-ecommerce-site/
pragma
no-cache
cache-control
no-cache
upgrade-insecure-requests
1
user-agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36
accept
text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9
sec-fetch-site
none
sec-fetch-mode
navigate
sec-fetch-user
?1
sec-fetch-dest
document
accept-encoding
gzip, deflate, br
accept-language
en-US
Upgrade-Insecure-Requests
1
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
content-type
text/html; charset=UTF-8
server
Apache/2.4.46 (Amazon) PHP/7.1.33
x-powered-by
PHP/7.1.33
set-cookie
gdpr[consent_types]=%5B%5D; expires=Wed, 12-Jan-2022 22:18:59 GMT; Max-Age=31536000; path=/ gdpr[allowed_cookies]=%5B%22gdpr%22%5D; expires=Wed, 12-Jan-2022 22:18:59 GMT; Max-Age=31536000; path=/ PHPSESSID=m9o73kh8gli298i1ejg33j2ksa; path=/
expires
Thu, 19 Nov 1981 08:52:00 GMT
cache-control
no-store, no-cache, must-revalidate
pragma
no-cache
x-pingback
https://reflektion.com/xmlrpc.php
link
<https://reflektion.com/wp-json/>; rel="https://api.w.org/" <https://reflektion.com/wp-json/wp/v2/posts/8034>; rel="alternate"; type="application/json" <https://reflektion.com/?p=8034>; rel=shortlink

Redirect headers

date
Tue, 12 Jan 2021 22:18:56 GMT
content-type
text/html; charset=utf-8
content-length
72
location
https://reflektion.com/auto-parts-ecommerce-site/
strict-transport-security
max-age=31536000; includeSubDomains
gtm.js
www.googletagmanager.com/ 		150 KB
45 KB 		Script
General
Check archive.org
Download Go to
Full URL
https://www.googletagmanager.com/gtm.js?id=GTM-N82TZ68
Requested by
Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.3, , AES_128_GCM
Server
2a00:1450:4001:80b::2008 Frankfurt am Main, Germany, ASN15169 (GOOGLE, US),
Reverse DNS
Software
Google Tag Manager /
Resource Hash
03f1e4f90700496648f1314de665fe18e57bdd36808a54ba1939954d8194a9bc
Security Headers
Name Value
Strict-Transport-Security max-age=31536000; includeSubDomains
X-Xss-Protection 0

Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
content-encoding
br
vary
Accept-Encoding
cross-origin-resource-policy
cross-origin
alt-svc
h3-29=":443"; ma=2592000,h3-T051=":443"; ma=2592000,h3-Q050=":443"; ma=2592000,h3-Q046=":443"; ma=2592000,h3-Q043=":443"; ma=2592000,quic=":443"; ma=2592000; v="46,43"
content-length
46331
x-xss-protection
0
last-modified
Tue, 12 Jan 2021 21:00:00 GMT
server
Google Tag Manager
strict-transport-security
max-age=31536000; includeSubDomains
content-type
application/javascript; charset=UTF-8
access-control-allow-origin
*
cache-control
private, max-age=900
access-control-allow-credentials
true
access-control-allow-headers
Cache-Control
expires
Tue, 12 Jan 2021 22:19:00 GMT
style.min.css
reflektion.com/wp-content/themes/Reflektion-2015/styles/css/ 		164 KB
165 KB 		Stylesheet
General
Check archive.org
Download Go to
Full URL
https://reflektion.com/wp-content/themes/Reflektion-2015/styles/css/style.min.css?updated=1586893932&ver=5.5.3
Requested by
Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
ec2-52-54-30-92.compute-1.amazonaws.com
Software
Apache/2.4.46 (Amazon) PHP/7.1.33 /
Resource Hash
5b241047ed1af4a507560e03914ed05ef57ac27b0ed4a96a384646fba4c1f282

Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
last-modified
Tue, 14 Apr 2020 19:52:12 GMT
server
Apache/2.4.46 (Amazon) PHP/7.1.33
accept-ranges
bytes
etag
"29082-5a3458929acd0"
content-length
168066
content-type
text/css
style.min.css
reflektion.com/wp-includes/css/dist/block-library/ 		53 KB
53 KB 		Stylesheet
General
Check archive.org
Download Go to
Full URL
https://reflektion.com/wp-includes/css/dist/block-library/style.min.css?ver=5.5.3
Requested by
Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
ec2-52-54-30-92.compute-1.amazonaws.com
Software
Apache/2.4.46 (Amazon) PHP/7.1.33 /
Resource Hash
8c626f0f9b5c109539b256b73e72c02b300a184f46b4535c2eb86599215c78af

Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
last-modified
Tue, 27 Oct 2020 16:21:32 GMT
server
Apache/2.4.46 (Amazon) PHP/7.1.33
accept-ranges
bytes
etag
"d293-5b2a9709c4948"
content-length
53907
content-type
text/css
public.css
reflektion.com/wp-content/plugins/gdpr/dist/css/ 		46 KB
46 KB 		Stylesheet
General
Check archive.org
Download Go to
Full URL
https://reflektion.com/wp-content/plugins/gdpr/dist/css/public.css?ver=2.1.2
Requested by
Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
ec2-52-54-30-92.compute-1.amazonaws.com
Software
Apache/2.4.46 (Amazon) PHP/7.1.33 /
Resource Hash
a5a44568564747cdd1d7daa772a5afa1554f56f6893fb346f2110c9b5c17e422

Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
last-modified
Mon, 18 May 2020 16:41:09 GMT
server
Apache/2.4.46 (Amazon) PHP/7.1.33
accept-ranges
bytes
etag
"b793-5a5eed481dfd0"
content-length
46995
content-type
text/css
css
fonts.googleapis.com/ 		8 KB
837 B 		Stylesheet
General
Check archive.org
Download Go to
Full URL
https://fonts.googleapis.com/css?family=Open+Sans:300,400,600,700&subset=latin
Requested by
Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.3, , AES_128_GCM
Server
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Referer
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User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

strict-transport-security
max-age=31536000
content-encoding
gzip
x-content-type-options
nosniff
cross-origin-resource-policy
cross-origin
alt-svc
h3-29=":443"; ma=2592000,h3-T051=":443"; ma=2592000,h3-Q050=":443"; ma=2592000,h3-Q046=":443"; ma=2592000,h3-Q043=":443"; ma=2592000,quic=":443"; ma=2592000; v="46,43"
x-xss-protection
0
last-modified
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server
ESF
date
Tue, 12 Jan 2021 22:19:00 GMT
x-frame-options
SAMEORIGIN
content-type
text/css; charset=utf-8
access-control-allow-origin
*
cache-control
private, max-age=86400, stale-while-revalidate=604800
timing-allow-origin
*
link
<https://fonts.gstatic.com>; rel=preconnect; crossorigin
expires
Tue, 12 Jan 2021 22:19:00 GMT
tooltip-light.css
reflektion.com/wp-content/plugins/glossary-by-codeat-premium/public/assets/css-pro/ 		3 KB
3 KB 		Stylesheet
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Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
ec2-52-54-30-92.compute-1.amazonaws.com
Software
Apache/2.4.46 (Amazon) PHP/7.1.33 /
Resource Hash
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Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
last-modified
Tue, 27 Oct 2020 16:09:27 GMT
server
Apache/2.4.46 (Amazon) PHP/7.1.33
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reflektion.com/wp-content/plugins/glossary-by-codeat-premium/public/assets/css-pro/ 		3 KB
3 KB 		Stylesheet
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Requested by
Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
ec2-52-54-30-92.compute-1.amazonaws.com
Software
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Request headers

Referer
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User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
last-modified
Tue, 27 Oct 2020 16:09:27 GMT
server
Apache/2.4.46 (Amazon) PHP/7.1.33
accept-ranges
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content-length
2774
content-type
text/css
jquery.js
reflektion.com/wp-includes/js/jquery/ 		95 KB
95 KB 		Script
General
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https://reflektion.com/wp-includes/js/jquery/jquery.js?ver=1.12.4-wp
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Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
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ec2-52-54-30-92.compute-1.amazonaws.com
Software
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Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
last-modified
Wed, 26 Feb 2020 20:39:51 GMT
server
Apache/2.4.46 (Amazon) PHP/7.1.33
accept-ranges
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content-length
96873
content-type
text/javascript
public.js
reflektion.com/wp-content/plugins/gdpr/dist/js/ 		12 KB
13 KB 		Script
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https://reflektion.com/wp-content/plugins/gdpr/dist/js/public.js?ver=2.1.2
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Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
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ec2-52-54-30-92.compute-1.amazonaws.com
Software
Apache/2.4.46 (Amazon) PHP/7.1.33 /
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Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
last-modified
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Apache/2.4.46 (Amazon) PHP/7.1.33
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content-length
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content-type
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6 KB 		Script
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https://reflektion.com/wp-content/themes/Reflektion-2015/js/jquery.typer.js?ver=5.5.3
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Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
ec2-52-54-30-92.compute-1.amazonaws.com
Software
Apache/2.4.46 (Amazon) PHP/7.1.33 /
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Request headers

Referer
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User-Agent
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Response headers

date
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last-modified
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content-length
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content-type
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18 KB 		Script
General
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https://reflektion.com/wp-content/themes/Reflektion-2015/js/scrollReveal.js?ver=5.5.3
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Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
ec2-52-54-30-92.compute-1.amazonaws.com
Software
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Referer
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User-Agent
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Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
last-modified
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server
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accept-ranges
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content-length
17815
content-type
text/javascript
reflektion.js
reflektion.com/wp-content/themes/Reflektion-2015/js/ 		4 KB
4 KB 		Script
General
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https://reflektion.com/wp-content/themes/Reflektion-2015/js/reflektion.js?ver=5.5.3
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Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
ec2-52-54-30-92.compute-1.amazonaws.com
Software
Apache/2.4.46 (Amazon) PHP/7.1.33 /
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Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
last-modified
Fri, 29 May 2015 01:45:13 GMT
server
Apache/2.4.46 (Amazon) PHP/7.1.33
accept-ranges
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etag
"f70-5172ea08bbc40"
content-length
3952
content-type
text/javascript
wp-emoji-release.min.js
reflektion.com/wp-includes/js/ 		14 KB
14 KB 		Script
General
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Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
ec2-52-54-30-92.compute-1.amazonaws.com
Software
Apache/2.4.46 (Amazon) PHP/7.1.33 /
Resource Hash
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Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
last-modified
Tue, 27 Oct 2020 16:21:46 GMT
server
Apache/2.4.46 (Amazon) PHP/7.1.33
accept-ranges
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content-length
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content-type
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www.google-analytics.com/ 		46 KB
18 KB 		Script
General
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https://www.google-analytics.com/analytics.js
Requested by
Host: www.googletagmanager.com
URL: https://www.googletagmanager.com/gtm.js?id=GTM-N82TZ68
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H2
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TLS 1.3, , AES_128_GCM
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Request headers

Referer
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User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

strict-transport-security
max-age=10886400; includeSubDomains; preload
content-encoding
gzip
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nosniff
last-modified
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server
Golfe2
age
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date
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vary
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content-length
18817
expires
Tue, 12 Jan 2021 23:19:32 GMT
insight.min.js
snap.licdn.com/li.lms-analytics/ 		4 KB
2 KB 		Script
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URL: https://www.googletagmanager.com/gtm.js?id=GTM-N82TZ68
Protocol
HTTP/1.1
Security
TLS 1.3, , AES_256_GCM
Server
2a02:26f0:6c00:28c::25ea , Ascension Island, ASN20940 (AKAMAI-ASN1, NL),
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Software
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Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

Date
Tue, 12 Jan 2021 22:19:00 GMT
Content-Encoding
gzip
Last-Modified
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X-CDN
AKAM
Vary
Accept-Encoding
Content-Type
application/x-javascript;charset=utf-8
Cache-Control
max-age=35216
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keep-alive
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bytes
Content-Length
1855
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reflektion.com/wp-content/themes/Reflektion-2015/js/ 		12 KB
13 KB 		Script
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https://reflektion.com/wp-content/themes/Reflektion-2015/js/tabs.js?v=adrg
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Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
ec2-52-54-30-92.compute-1.amazonaws.com
Software
Apache/2.4.46 (Amazon) PHP/7.1.33 /
Resource Hash
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Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
last-modified
Fri, 18 May 2018 04:53:19 GMT
server
Apache/2.4.46 (Amazon) PHP/7.1.33
accept-ranges
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content-length
12665
content-type
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animate.css
reflektion.com/wp-content/themes/Reflektion-2015/styles/css/ 		56 KB
56 KB 		Stylesheet
General
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Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
ec2-52-54-30-92.compute-1.amazonaws.com
Software
Apache/2.4.46 (Amazon) PHP/7.1.33 /
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Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
last-modified
Tue, 26 Mar 2019 22:29:05 GMT
server
Apache/2.4.46 (Amazon) PHP/7.1.33
accept-ranges
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content-length
57095
content-type
text/css
logo.svg
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4 KB 		Image
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https://reflektion.com/wp-content/themes/Reflektion-2015/images/logo.svg
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Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
ec2-52-54-30-92.compute-1.amazonaws.com
Software
Apache/2.4.46 (Amazon) PHP/7.1.33 /
Resource Hash
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Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
last-modified
Thu, 16 Apr 2015 02:49:24 GMT
server
Apache/2.4.46 (Amazon) PHP/7.1.33
accept-ranges
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etag
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content-length
3848
content-type
image/svg+xml
up_loader.1.1.0.js
js.adsrvr.org/ 		4 KB
2 KB 		Script
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https://js.adsrvr.org/up_loader.1.1.0.js
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Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
HTTP/1.1
Security
TLS 1.3, , AES_128_GCM
Server
143.204.97.161 Seattle, United States, ASN16509 (AMAZON-02, US),
Reverse DNS
server-143-204-97-161.fra50.r.cloudfront.net
Software
AmazonS3 /
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Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

Date
Tue, 12 Jan 2021 21:10:40 GMT
Content-Encoding
gzip
Last-Modified
Thu, 24 Sep 2020 15:15:34 GMT
Server
AmazonS3
Age
4100
ETag
W/"98d98b3499058b76d58073cf8ede2f10"
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Accept-Encoding
X-Cache
Hit from cloudfront
Content-Type
application/x-javascript
Via
1.1 32c8da10203574baccb74b8f771a7ffb.cloudfront.net (CloudFront)
Connection
keep-alive
Transfer-Encoding
chunked
X-Amz-Cf-Pop
FRA50-C1
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3012.js
e2eg.co.uk/ 		2 B
296 B 		Script
General
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https://e2eg.co.uk/3012.js
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Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_256_GCM
Server
194.116.175.12 , United Kingdom, ASN15510 (CWCS-PS CompuWeb Communications Services Ltd, GB),
Reverse DNS
server3.virtualnet.co.uk
Software
Microsoft-IIS/10.0 / ASP.NET
Resource Hash
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Request headers

Referer
https://reflektion.com/auto-parts-ecommerce-site/
User-Agent
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Response headers

date
Tue, 12 Jan 2021 22:19:00 GMT
content-encoding
gzip
last-modified
Mon, 08 Jan 2018 15:30:46 GMT
server
Microsoft-IIS/10.0
x-powered-by
ASP.NET
etag
"0172ba79588d31:0"
vary
Accept-Encoding
content-type
application/javascript
accept-ranges
bytes
content-length
122
core.min.js
reflektion.com/wp-includes/js/jquery/ui/ 		4 KB
4 KB 		Script
General
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https://reflektion.com/wp-includes/js/jquery/ui/core.min.js?ver=1.11.4
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Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.54.30.92 Ashburn, United States, ASN14618 (AMAZON-AES, US),
Reverse DNS
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https://www.google-analytics.com/j/collect?v=1&_v=j87&a=915916798&t=pageview&_s=1&dl=https%3A%2F%2Freflektion.com%2Fauto-parts-ecommerce-site%2F&ul=en-us&de=UTF-8&dt=Everything%20You%20Need%20to%20Know%20about%20Optimizing%20Your%20Auto%20Parts%20eCommerce%20Site%20%7C%20Reflektion&sd=24-bit&sr=1600x1200&vp=1600x1200&je=0&_u=YEBAAEABAAAAAC~&jid=1812013535&gjid=601689586&cid=1664568248.1610489941&tid=UA-48625530-1&_gid=714474405.1610489941&_r=1&gtm=2wgbu0N82TZ68&z=81166850
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www.facebook.com/tr/ 		44 B
258 B 		Image
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https://www.facebook.com/tr/?id=207537379655267&ev=PageView&dl=https%3A%2F%2Freflektion.com%2Fauto-parts-ecommerce-site%2F&rl=&if=false&ts=1610489941027&sw=1600&sh=1200&v=2.9.32&r=stable&ec=0&o=30&fbp=fb.1.1610489941026.1531859287&it=1610489940910&coo=false&rqm=GET
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Response headers

date
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last-modified
Fri, 21 Dec 2012 00:00:01 GMT
server
proxygen-bolt
strict-transport-security
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Protocol
H2
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Host: snid.snitcher.com
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Protocol
H2
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TLS 1.3, , AES_128_GCM
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via
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H2
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TLS 1.3, , AES_128_GCM
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Response headers

date
Tue, 12 Jan 2021 22:19:01 GMT
via
1.1 83caebe1f817a31bd75ba17dff7ae1a6.cloudfront.net (CloudFront)
x-content-type-options
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server
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x-amz-cf-pop
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access-control-allow-headers
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www.facebook.com/tr/ 		0
48 B 		Other
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https://www.facebook.com/tr/
Requested by
Host: connect.facebook.net
URL: https://connect.facebook.net/en_US/fbevents.js
Protocol
H2
Security
TLS 1.3, , AES_128_GCM
Server
2a03:2880:f11c:8183:face:b00c:0:25de , Ireland, ASN32934 (FACEBOOK, US),
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Request headers

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User-Agent
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Response headers

strict-transport-security
max-age=31536000; includeSubDomains
server
proxygen-bolt
date
Tue, 12 Jan 2021 22:19:01 GMT
content-type
text/plain
access-control-allow-origin
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cross-origin
alt-svc
h3-29=":443"; ma=3600,h3-27=":443"; ma=3600
content-length
0
pd.js
pi.pardot.com/ 		5 KB
2 KB 		Script
General
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https://pi.pardot.com/pd.js
Requested by
Host: reflektion.com
URL: https://reflektion.com/auto-parts-ecommerce-site/
Protocol
HTTP/1.1
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
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Request headers

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User-Agent
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Response headers

Date
Tue, 12 Jan 2021 22:19:02 GMT
Content-Encoding
gzip
X-Pardot-Route
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X-Pardot-LB
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PardotServer
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"1442-gzip"
Vary
Accept-Encoding,User-Agent
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Cache-Control
max-age=63072000
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bytes
Content-Length
1842
Expires
Thu, 12 Jan 2023 22:19:02 GMT
up
insight.adsrvr.org/track/ Frame 52E8 		0
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https://insight.adsrvr.org/track/up?adv=wj1z88r&ref=https%3A%2F%2Freflektion.com%2Fauto-parts-ecommerce-site%2F&upid=uuff51p&upv=1.1.0
Requested by
Host: js.adsrvr.org
URL: https://js.adsrvr.org/up_loader.1.1.0.js
Protocol
H2
Security
TLS 1.2, ECDHE_RSA, AES_128_GCM
Server
52.208.188.183 Dublin, Ireland, ASN16509 (AMAZON-02, US),
Reverse DNS
ec2-52-208-188-183.eu-west-1.compute.amazonaws.com
Software
/
Resource Hash

Request headers

:method
GET
:authority
insight.adsrvr.org
:scheme
https
:path
/track/up?adv=wj1z88r&ref=https%3A%2F%2Freflektion.com%2Fauto-parts-ecommerce-site%2F&upid=uuff51p&upv=1.1.0
pragma
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cache-control
no-cache
upgrade-insecure-requests
1
user-agent
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accept
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sec-fetch-site
cross-site
sec-fetch-mode
navigate
sec-fetch-dest
iframe
referer
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gzip, deflate, br
accept-language
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cookie
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Response headers

date
Tue, 12 Jan 2021 22:19:01 GMT
content-type
text/html
cache-control
private,no-cache, must-revalidate
pragma
no-cache
x-aspnet-version
4.0.30319
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_ate.track.config_resp
v1.addthisedge.com/live/boost/ra-53b1b3ca2ea20a07/ 		805 B
534 B 		Script
General
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https://v1.addthisedge.com/live/boost/ra-53b1b3ca2ea20a07/_ate.track.config_resp
Requested by
Host: s7.addthis.com
URL: https://s7.addthis.com/js/300/addthis_widget.js
Protocol
H2
Security
TLS 1.3, , AES_256_GCM
Server
104.75.88.112 , Netherlands, ASN16625 (AKAMAI-AS, US),
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Software
/
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114 JavaScript Global Variables

These are the non-standard "global" variables defined on the window object. These can be helpful in identifying possible client-side frameworks and code.

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15 Cookies

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2 Console Messages

Source Level URL
Text
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Message:
init popups ✔
console-api warning URL: https://connect.facebook.net/en_US/fbevents.js(Line 23)
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[Facebook Pixel] - Unable to parse JSON-LD tag. Malformed JSON found: ' { "@context": "http://schema.org", "@type": "NewsArticle", "headline": "Everything You Need to Know about Optimizing Your Auto Parts eCommerce Site", "alternativeHeadline": "", "image": ["https://reflektion.com/wp-content/uploads/2020/08/fitment-Call-Out-01.png"], "datePublished": "2020-11-11T14:22:56-05:00", "description": "Thanks to advances in commerce-related applications of machine learning and AIArtificial intelligence (AI) is the simulation of human intelligence processes by machines, typically computer systems. ... More there is a significant opportunity to modernize the parts and accessories shopping experience. In this post, we’ll explore trends and applications of ML/AI to optimize the experience for...", "articleBody": "Thanks to advances in commerce-related applications of machine learning and AI there is a significant opportunity to modernize the parts and accessories shopping experience. In this post, we’ll explore trends and applications of ML/AI to optimize the experience for the parts and accessories shopper across their journey from acquisition to engagement through retention.   Just over a decade ago supporting accurate search results for parts &amp;amp; accessories within fitment was labor-intensive and very difficult. Now, most online auto parts retailers and marketplaces support fitment-based results and filters, however, the results are generally the same for each shopper. No two shoppers are identical — even if they are shopping for parts on the same vehicle. Key differences, just to name a few, including how the vehicle is operated, under what conditions it is operated, where, when, and what has already been done to the vehicle, etc. When layering in buyer intent data based on real-time actions, ML/AI tools can use all of these variables to personalize buyer experiences.  Automotive part shoppers typically fall into the following types: Reactive: repairing their vehicle  Routine: maintaining their vehicle Aspirational: enhancing their vehicle  Professional: working on vehicles of others Addressing each shopper individually is key. Showing relevant products accurately based on fitment intent can be determined through acquisition details and onsite engagement: Acquisition / Visit Details: What brought them to your site and where did they land?  Did the buyer come through organic/paid search, email, promotional, social campaigns, or was it direct traffic? When it comes to personalizing onsite search, how they land on your site gives away a significant amount of information about the buyer’s intent. Providing an instantly relevant experience is key for these shoppers.  Building a relevant instantaneous experience would include: Dedicated personalized landing pages for each combination of part type and vehicle (make/model/year + type or category at a minimum) help both with the activation of search and campaign traffic while also providing additional context. These pages should contextually adapt to the shoppers&#039; region, season/climate, trends, and historical data if available.  In the CarID example below a dedicated landing page for the make + part-type can also drive more engagement incorporating some collaborative and contextual data such as ranking brakes most likely purchased by shoppers in a similar context (region, season, channel, etc). Onsite engagement: Extract intent from onsite engagement touchpoints.  What did they do on your site?   Where did they navigate? What did they search and did they use specific filters?  What did they click on?  Typical Journey of a Parts Shopper  Let’s walk through the typical journey of a parts shopper. In these examples, we’ll be searching for “2008 honda fit front suspension.” Google While searching on Google, parts shoppers receive basic experiences —not tailored to the automotive parts industry, nor a specific consumer. The results and experience is generally going to be the same for every shopper.  Amazon Amazon takes this a bit further with a specific automotive parts store supporting the concept of garage/fitment. However, the experience still does not factor in personal attributes.  Ebay Ebay’s “Shop By Diagram” takes a different approach by providing the shopper with a visual schematic of the specific vehicle to identify the correct part.   Automotive Parts eCommerce Sites Going beyond marketplaces where auto parts is a category to dedicated automotive parts sites, we find more depth in the experience such as additional filters, categories and type-specific results aligned with what a part shopper requires to help with their selection vs. the generic experience of the marketplaces.   Category-specific result fields (dynamic results) provide an additional level of detail a shopper needs to make their selections.  As many shoppers will arrive via organic or paid search, a vehicle fitment + part category landing experience reduces the number of steps the shopper requires to their purchase. This also helps with SEO when included as part of your site navigation: Finally, there are category-specific sites that provide even an additional layer of depth specific to their category of focus such as Staggered Fitment in tires. Whether they are working on simple DIY vehicle maintenance or more complex projects, retrieving compatible parts with accuracy is only half the battle.  Shopper research also includes symptoms the part solves for, the category and function of the part, the part type, brand, OEM/aftermarket preferences, or part product number itself. The way in which the vehicle is used, where, and under which conditions are also important factors often neglected in fitment-based results. Shopping replacement parts can be complex due to size, shape, material, cross applications, etc.  Some buyers will be hesitant to purchase replacement parts online due to their level of confidence in receiving the correct part of their application without the help of an expert. A personalization platform eliminates this hesitation by not only presenting compatible parts but takes into account all factors to present the precise parts based on the shopper’s predicted needs &amp;amp; intent.  Create a Seamless Buyer Experience—Before Your Competitors Do Until now, auto commerce sites didn’t have the ability to create the kind of 1:1 personalized buying journey in the same way other online retailers do. Auto parts retailers’ complex fitment product offerings present a unique challenge to technologies that aim to simplify online buying and predict the buyer’s needs. Most legacy search and recommendation systems return compatible product results based on fitment, though not specific to the shopper&#039;s specific affinities such as use, materials, activity, brand, warranty, country of origin, etc. It is rare for an AI system to be able to do 1:1 personalization. It is even rarer for a system that can do 1:1 personalization and keep track of a user&#039;s affinities and handle large scale hard filters on year/make/model. To be able to do so requires an immense amount of processing capabilities, efficient backend algorithms, clean and easy to understand front end UI, and the latest backend architectures. Reflektion’s AI-based Customer Engagement Platform is just that. It optimizes end-to-end buying experiences for auto parts buyers through it’s robust fitment capabilities.  Here is our checklist for turning your site from a catalog of confusion to the most valued assistant in your buyer’s garage. 1. Organize and Enrich Your Data ACES (Aftermarket Catalog Exchange Standard) and PIES (Product Information Standard) are the top data organization standards for auto parts products and retailers.  You can further enrich this data automatically with ML-based semantic and visual tagging, as well as crawling. Clickstreams provide additional insight on behavioral interaction with the product such as the optimal conversion path for a product. Historical transactions provide additional insight such as seasonality and contextual trends surrounding a product.  In addition, incorporating data from multiple sources such as store data, social media, and other 3rd party sources to improve the thoroughness of your content, leading to higher engagement. With the right engagement platform, you can create personalized buying experiences using all of these data sources, which drives additional revenue. 2. Optimize your SEO Exposure and Site Search Experiences Most shoppers start on google with a long-tail keyword which includes variations of fitment and product attributes/keywords.  Optimizing your site with dynamic landing pages for long-tail keywords drives organic traffic.  These Dynamic Fitment Landing Pages give merchants the opportunity to automatically create vehicle-specific experiences for individual buyers.  Now you’ve got the buyer onto your site, a fitment-based site search is necessary. The complexity of the products sold in the automotive aftermarket industry demands robust site search capabilities. Your site should be prepared for shoppers to search by: Part type Year Make Model Engine type Trim Part function Part symptoms Part use &amp;amp; application Brands Part / manufacturer / competitor number …and more. That’s quite a tall order, which is why AI and ML technologies are needed to ensure the search process is fast enough for today’s buyers. Another important consideration is to enable your site with a preview search interface. Preview search can predict the intent of your buyers from their very first click in the search bar, making helpful suggestions for products, categories, and brands that might best fit their needs. The image below shows what a buyer might see after typing just two characters. Essentially, this means that the buyer is shown suggestions as fast as their brain can perceive them.  You should also use a buyers’ previous intents. For example, if a shopper looked for a replacement part for a 2016 Mazda CX5 Grand Touring SUV on one visit, it would preview parts for that make and model in subsequent searches based on that affinity — until a new intent is discovered.   When personalizing the onsite search experience, seasonality is important to take into account. A person who likes racing will search for a certain type of tire during a defined season. The same person may be looking for snow tires for their family vehicle in October or November. This is something your site will “know” about them. In addition to an agile preview and site search, you should ensure that your site has a filtered full-page search. Crucial facets are: Personalized results Fitment filters Universal fit or cross-fitment Facets relevant to fitment Faceted URLs 3. Let Your Shoppers Explore by Exact Vehicle Generate cascading filters that enable your shoppers to tell you exactly what vehicle they are shopping for. These filters: Only show fitments that have products or inventory Do not require ACES or PIES Can be explored by the buyer in any sequence Can accommodate additional fitment parameters This information will take buyers straight to the vehicle Dynamic Landing Page &amp;amp; Product Listing Pages (PLP) categories they need. The machine/vehicle landing pages themselves are powerful customer acquisition and engagement tools. Your product detail pages should capture each buyer’s attention in exactly the way they would want, intuitively presenting the most relevant information and recommendations to them so you can effectively sway their interest—and their likelihood to click “add to cart.”  Dynamically created fitment pages create a personalized page experience, so shoppers get targeted recommendations for their specific vehicle, including: Products within a fitment context Substitutions and replacements Cross-fitment and universal fit These will also trigger content pushes such as banners, editorials, videos, and blogs to engage the shopper more deeply. 4. Offer Fitment Compatible Recommendations  Recommendations must honor the fitment and context to be relevant. They offer an important opportunity to up-sell, cross-sell, and next-sell which drives additional revenue. Individualized Recommendations take into account, not just the customer&#039;s fitment requirements or garage, but also their context and behavior.  AI enables you to incorporate the behaviors of all shoppers past and present to drive the most relevant recommendations without any manual intervention.   Individualized collaborative recommendations include  co-view/bought / ultimately bought, others like you bought honoring fitment Trending/top purchased for a given fitment, within the category Based on context, use, or application Recommendations based on cart contents and order history Replenishment based on fitment specific maintenance schedules With Reflektion’s Customer Engagement Platform, you can choose, build, and test recommendation “recipes” to optimize revenue.   5. Allow Buyers to Create a Custom Garage  My garage, my machine, my ride—when the buyer shares this information, your site needs to listen and remember it.  Give buyers the ability to create a “custom garage” which can be managed by your personalization platform. Using information from your customer profiles and CRM, the custom garage saves buyers time, ensuring that the next time they need something for their vehicle, they will get relevant and helpful suggestions from your site—instantly. 6. Reduce “Speed Bumps” in the Purchase Path Across the buyer experience, you want as few steps as possible for a buyer to find what they need. Engagement and personalization platforms built for fitment enable all touchpoints to interact with each other based on the fitment and application of the products the buyer intends to buy. Your engagement platform should capture each individual visitor’s shopping behavior—extrapolating it from their site visits, purchases, clicks, and even their photos—and convert that behavior into a detailed understanding of what they want. If what your buyer needs is a BOPIS option, you need to ensure they only see products available at their preferred location, incorporating real-time inventory, fulfillment, and pricing data. With this deep understanding of your buyers’ preferences, it is possible to give them a smooth ride through search, recommendations, category/landing pages, email, and even in-store purchases so that more of your products cruise straight into their carts. Email shouldn’t be forgotten. Incorporating individualized suggestions and content within the email, based on your garage or specific vehicles, significantly improves email open and click-through rates.  Email landing pages continue the experience and personalization across channels further driving higher engagement and conversion.   7. Leverage Fitment Analytics Insights Across Channels Finally, your 1:1 personalization solution should give you easy-to-access, in-depth analytics that will show you exactly who your audience is, and on which channels you can reach them. Fitment analytics will provide detailed information about sales for each year/make/model, and search, category, and product analytics will help you to understand how shoppers are interacting with your site across all touchpoints. You can also gain insight into when to replenish stock since AI can learn maintenance schedules based on aggregate purchasing behavior by vehicle. Not only won’t your loyal customers believe how seamless your site is, but they will also be astounded by the responsiveness of your staff. Through email, you can offer them service reminders based on published manufacturers’ schedules for their vehicle and let them know about recalls and promotions. Data-gathering capabilities are also extremely valuable for call-center representatives seeking to resolve issues quickly; they will know all about your buyers and their vehicles as soon as the calls come in. Your platform should also be mobile-friendly (which is helpful both for individual shoppers and floor mechanics) and provide connectivity with in-store kiosks and tablets. With the auto parts aftermarket eCommerce industry burgeoning, not investing in personalization presents a serious opportunity cost. The time is now to implement a cost-effective personalization solution—before your competitors get one. The Time is Now With The Reflektion Customer Engagement Platform, you can optimize end-to-end buying experiences for auto parts buyers through it’s robust fitment capabilities. Now is the time to create a seamless buyer experience before your competitors do.  Sources What the auto industry needs to know to close the sale after the sale What’s Driving the Automotive Parts Online Shopper &amp;nbsp;" } '.

Indicators

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cdn.jsdelivr.net
connect.facebook.net
e2eg.co.uk
fonts.googleapis.com
fonts.gstatic.com
hello.reflektion.com
insight.adsrvr.org
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m.addthis.com
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pages.reflektion.com
pi.pardot.com
px.ads.linkedin.com
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s7.addthis.com
snap.licdn.com
snid.snitcher.com
v1.addthisedge.com
vidassets.terminus.services
www.facebook.com
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www.googletagmanager.com
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