Koogle d*EPiC SWYNme BITLYme EmailMarketingTipps

Articles



tactics Using predictions to get your customers to buy again

If you sell a consumable product, you want your customers to buy again and again. When a product gets used up or wears out, it makes sense to send a reminder to customers to refill, replace, or repurchase that product or a similar product. [...] [more]
retentionscience.com    Automation, Intelligence

social Chatbots für personalisierte Dialoge

Weder das Thema Personalisierung noch das Thema Bots ist neu. Bereits 1966 hat Joseph Weizenbaum mit ELIZA ein Computerprogramm entwickelt, das die Möglichkeiten der Kommunikation zwischen einem Menschen und einem Computer über natürliche Sprache aufzeigte. Beim Antworten nahm die Maschine die Rolle eines Psychotherapeuten ein, arbeitete auf der Basis eines strukturierten Wörterbuchs und suchte nach Schlusselbegriffen im eingegebenen Text. Auch wenn dieses Bot-Modell als Psychotherapeut nur [...] [more]
email-marketing-forum.de    Intelligence, Marketing, Social, Trend

discussion Predictive Marketing: What’s the Hype & How Can Your Business Leverage It to Grow Your Email-Marketing ROI? [VID]

Learn more about how one of the top email-marketing trends in 2018, predictive marketing, will pave to way for marketers to do their job better and more efficiently. Listen as industry leaders from FulcrumTech, SmarterHQ, Loyalty Builders, and Fresh Relevance walk you through what you need to know about predictive marketing—and the secrets to effectively implementing it into your marketing programs. [...] [more]
youtu.be    Intelligence

tactics Browse abandonment email test results

Just because you are using AI doesn’t mean you’re getting the best possible results in your email marketing. This in depth browse abandonment email case study illustrates. Two different sets of computer generated recommendations were pitted against each other in an A/B split test and a 20.5% revenue increase delivered. The use of recommendation engines [...] [more]
zettasphere.com    Automation, Customization, Intelligence, Clickrate

strategy Profiling: steps for sending relevant, one-to-one emails [GFX]

A complete guide to developing an organic profiling cycle: from the collection of different data clusters (personal data relating to interests and behaviors) to segmentation, up to personalization and automation. In today’s world, simply reaching a recipient’s inbox is not enough. Relevance has become the main factor of a campaign’s success. In email marketing, relevance means delivering messages that meet the interests, habits, needs, and characteristics of the individual user. [...] [more]
mailup.com    Gallery, Customization, Intelligence

discussion SUBJECT: Write emails faster with Smart Compose in Gmail

Draft emails quickly with confidence. From your greeting to your closing (and common phrases in between), Smart Compose suggests complete sentences in your emails so that you can draft them with ease. Because it operates in the background, you can write an email like you normally would, and Smart Compose will offer suggestions as you type. When you see a suggestion that you like, click the “tab” button to use it. [...] [more]
blog.google    Intelligence, Marketing

tactics Attribution Modeling: Last Touch, Multi-Touch & Revenue Lift

The ins and outs of 3 popular attribution models. Retailers are beholden to large numbers and the attribution model they choose to use can impact not only their outcomes, but strategy and budgets. Learn more in this blog post. [...] [more]
windsorcircle.com    Intelligence, Multichannel, Webanalytics

discussion Schalke 04: „E-Sport ist für uns eine Investition mit enormem Potential“

Wir gewinnen sehr viele Erkenntnisse über die Interessen von Fans. Aufgrund unserer unterschiedlichen Angebote haben wir früher insgesamt sieben unterschiedliche Newsletter an unsere Fans gesendet. Das war ein Newsletter des Knappenkids-Clubs, ein Spieltag-Newsletter oder einer mit Mitgliederinformationen. Das war natürlich für den Fan zu viel und er hat sich damit weder abgeholt noch wohl gefühlt. Wir haben den Newsletter inzwischen komprimiert und schalten ihn mit unterschiedlichen [...] [more]
gruenderszene.de    Customization, Intelligence

discussion Image Caching in Webmails – Alarm for your Email Metrics?

Recently Yahoo! Mail announced that they have changed how they handle embedded images in emails. Similar to the bold move by Gmail in 2013 to adopt image caching, Yahoo! will now cache all the images and display them from their own proxy servers. Webmails like Gmail and Yahoo! implemented this to greatly improve email load speed and reliability, but it throws a monkey wrench into the works for email marketing. [...] [more]
emailmonks.com    Intelligence, Marketing

discussion Yahoo! Mail Introduces Image Caching—What Marketers Must Know

Here's everything you must know about image caching in Yahoo! Mail and how it can impact your email metrics and the use of dynamic content.  [...] [more]
litmus.com    Intelligence, Marketing

stats Digital Intelligence Briefing: Digitale Trends 2018 [PDF]

Die richtige Mischung aus Technologie, Daten und Design steht und fällt mit der Unternehmenskultur. Unternehmen, die echte Erlebnisse bereitstellen möchten, setzen auf einen Team-übergreifenden Ansatz, bei dem der Kunde im Zentrum aller Initiativen und Zusammenarbeit steht. Diese Unternehmen haben einen durchdachten, langfristigen Plan entwickelt, um kontinuierlich Kunden zu gewinnen. Es überrascht daher nicht, dass diese Unternehmen Branchenführer sind. [...] [more] 
adobe.com    Intelligence, Study

discussion Are You Distracted by the Wrong Email Metrics?

There is a difference between the email metrics aligned with business success and those that manage the campaign process. Here's how to focus appropriately. [...] [more]
iterable.com    Intelligence

tactics Yelp tests offline attribution using guest WiFi and email matching

Yelp used a one-day attribution window for exposed users who didn’t click on ads and a 30-day attribution window for users who clicked. Yelp didn’t use individual customer transaction data to calculate ROI, but used average ticket value and table size data supplied by Jack Astor’s. Email addresses of registered Yelp users were matched with email addresses provided to access guest WiFi in the restaurants. Given this approach, it’s possible that some users who saw the ads and went into Jack Astor’s [...] [more]
searchengineland.com    Intelligence, Marketing

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

discussion Building Artificial Intelligence Into SendGrid: Our Journey So Far and What It Means For You

As we began our AI exploration, we started by asking ourselves how AI could help us, for example, to: Identify and block spammers who are attempting to open a SendGrid account; Encourage and guide all customers to use sending best practices; Deliver alerts and insights to customers when an aspect of their email program needs their attention [...] [more]
sendgrid.com    Intelligence, Spam, Deliverability
Page 1 | older