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discussion Email Deliverability and Performance Feeds

Email Marketing data feeds consist of two feeds: the Placement Feed and the Campaign Performance Feed. The Placement Feed provides metrics on how many emails from a sender domain are delivered to the inbox, spam, and folders. It also provides metrics for error and complaint counts. The Campaign Performance Feed provides key metrics such as delivers, opens, reads, glances, skims, deletes, and clicks for a sender domain. Metrics are broken down by sender domain and campaign. [...] [more]
verizonmedia.com    Intelligence, Openingrate, Deliverability

discussion Postmaster @ Yahoo, AOL, Verizon — Announcing New Engagement Feeds

Let’s work together to move the industry forward, away from tracking pixels and towards more accurate reporting that guarantees user safety and helps you understand your campaign performance even better. At the end of the day we all want the same thing - for our customers to receive the best emails possible! Trusted senders who want to learn more about this program, please head over to our postmaster page. [...] [more]
verizonmedia.com    Intelligence, Openingrate, Deliverability

discussion Email open rates are actually up to three times lower than reported.

Verizon Media found in their research mail clients using IMAP to fetch emails that are plugged into a charger and connected to Wi-Fi aggressively prefetch all content in an email, prompting nearly all open pixels to report as “opened.” Those emails could truly be deleted by the user without being opened, but since the pixel was prefetched (not even rendered, yet still considered “open”), your data tells you otherwise. [...] [more]
250ok.com    Openingrate, Study

stats 2019 Email Benchmark and Engagement Study

Email benchmark and engagement study developed with sender data as well as a recipient study to see where, how, and why email is engaged with. An interesting note is that the Click-to-Open Rate continued to drop for the fourth year in a row. We believe that this demonstrates that recipients are increasingly selective about what messages they’ll interact with. While many recipients will open their emails, they’re not going to click on just any link within an email. [...] [more]
sendgrid.com    Clickrate, Openingrate, Study

discussion How not to get people to open your emails

The TechCrunch article this references has one major, fundamental flaw: it doesn’t understand what open rates are. In saying that every sender can get a 100% open rate, it fails to take into account just how inaccurate a metric open rate is. [...] [more]
emailgeekscommunity.com    Openingrate

stats Newsletter-Öffnungsraten seit 2013 konstant

Die Analyse ergab, dass die Netto-Öffnungsrate seit 2013 völlig konstant ist. Sie schwankt im Jahresdurchschnitt zwischen 28 Prozent und 29 Prozent. "Von einem Abwärtstrend also keine Spur." kommentiert Michael Kornfeld, Geschäftsfüh-rer von dialog-Mail, das Ergebnis. "Das Resultat mag manche überraschen, denn die Begründungen für die oft zitierte Senkung der Öffnungsrate klingen nachvollziehbar: Newsletter werden als zunehmend lästig empfunden, wir alle bekommen viel zu viele E-Mails und die [...] [more]
email-marketing-forum.de    Openingrate, Study, Trend

discussion Die entscheidenden E-Mail-Engagement-Metriken

Die Verfügbarkeit detaillierter Echtzeit-Kennzahlen gehört zur DNA des Online-Marketings. Das E-Mail-Marketing bildet dabei keine Ausnahme. Geeignete Key Performance Indikatoren (KPIs) sind dabei essentielle Werkzeuge zur Bewertung, Steuerung und Optimierung der verschiedenen Online-Marketing-Kanäle. Besonders interessant sind dabei alle Kennzahlen, die das Engagement der User möglichst genau erfassen, denn Engagement ist der Schlüssel zum nachhaltigen ROI des E-Mail-Kanals. Generell sind User-[...] [more]
email-marketing-forum.de    Intelligence, Openingrate

stats Case Study on Discount Subject Lines Similarity

Gartner L2 processed 44,203 discount subject lines. Brands that send fewer, but more relevant discount emails achieve higher open rates than brands that send more frequent, broad-based discount campaigns. Brands that use differentiated language in their discount email subject lines achieve a 13.7% lift in open rate over those that use more generic language. Open rates [...] [more]
mediapost.com    Subjectline, Openingrate, Study

stats Klickraten und Öffnungsraten 2018 - der große Branchen-Benchmark im E-Mail Marketing [PDF]

Neu in diesem Jahr: Die Öffnungsrate und die Klickrate nach Kalenderwoche. Welche Wochen laufen besonders gut und in welchen Wochen machen sich Feiertage und auch Urlaubszeiten besonders bemerkbar? Unser Zeitstrahl gibt Ihnen einen eingängigen und übersichtlichen Eindruck, welche für Sie die besten Versandzeiten sind [...] [more] 
newsletter2go.de    Clickrate, Openingrate, Study, Sendtime

stats E-Mail-Marketing Benchmark 2017 [PDF]

„Wie hoch ist die durchschnittliche Öffnungsrate?“, „Ist meine Klickrate im grünen Bereich?“, „Sind unsere Bounce-Raten zu hoch?“ – diese und vergleichbare Fragen umtreiben viele Marketer. Unternehmen haben erfahrungsgemäß großes Interesse daran, sich mit Wettbewerb und anderen Marktteilnehmern zu vergleichen. Aus gutem Grund: Der Vergleich zeigt wo die Unternehmen stehen – und wo eventuell noch Optimierungspotenzial besteht. Diese Benchmarkstudie bietet Orientierung. Hierzu wurden mehr als 13 Mrd. [...] [more] 
episerver.de    Openingrate, Study

stats 2018 Marketing Benchmark Report - Email and Mobile Metrics for Smarter Marketing [PDF]

This year’s report includes traditional benchmark metrics such as email marketing open, click-through and unsubscribe rates, as well as email client and device data and engagement/read rates. New this year to the report are delivery and message frequency metrics for SMS and open and click- through rates for mobile push messages. [...] [more] 
ibm.com    Clickrate, Multichannel, Openingrate, Study, Trend

stats SendGrid's Global Benchmark Report 2018 [PDF]

Each year, SendGrid leverages the knowledge and experience of our internal data scientists and deliverability experts to develop and publish our Global Email Benchmark Report . For 2018, we’re happy to provide this resource to email senders of all types. This year’s Global Email Benchmark Report features data and benchmarks from more than 50 billion emails from over 100,000 different senders to more than 2 billion different recipient addresses. As a sender, this report can help you: [...] [more] 
sendgrid.com    Clickrate, Openingrate, Study

stats E-Mail Öffnungen: Wo, wann und wie lange? [PDF]

In dieser Studie betrachten wir den Umgang von Abonnenten mit E-Mails. Dabei werden folgende Fragen beantwortet: Welche Endgeräte und Anwendungen verwenden Abonnenten zum Lesen von E-Mails? Gibt es einen Zusammenhang zwischen dem Wochentag und der Präferenz für ein Endgerät (Mobilgerät, Webmail oder Desktop)? Wie viel Zeit verbringen Abonnenten mit dem Anzeigen von E-Mails? Und hat das zum Öffnen der Mail genutzte Endgerät Einfluss auf die Verweildauer? [...] [more] 
returnpath.com    Openingrate, Study, Trend

stats The 2018 Hidden Metrics of Email Deliverability Industry Benchmarks for 7 Key Metrics [PDF]

Deliverability is not just about following “best practices.” Simply adhering to common standards is not enough to land your messages in the inbox. Today’s marketers need to create an engaging email program, not only to entice subscribers to read their emails—and hopefully convert—but because a lack of read emails could lead to decreased deliverability. Tracking engagement-based metrics (which measure how subscribers interact with your email program) is a critical step in evaluating the success of any [...] [more] 
returnpath.com    Openingrate, Study

stats Modeling Time to Open of Emails with a Latent State for User Engagement Level [PDF]

Email messages have been an important mode of communication, not only for work, but also for social interactions and marketing. When messages have time sensitive information, it becomes relevant for the sender to know what is the expected time within which the email will be read by the recipient. In this paper we use a survival analysis framework to predict the time to open an email once it has been received. We use the Cox Proportional Hazards (CoxPH) model that offers a way to combine various [...] [more]
google.com    Intelligence, Openingrate
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