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The list below is from over two decades of observations in first, second and third person. Before publishing I asked over 50 Fortune 1000 CIOs and CTOs to review and comment; their feedback is included.
At the core of everything below is going against the grain and the herd, and embracing counter intuition. Whether you embrace counter intuition systematically, or selectively, most of the items below are suggesting in their cognitive DNA counter-intuitive thinking.
Creative use of Gmail addresses can help you tame your inbox | TUAW: Apple news, reviews and how-tos since 2004
Gmail supports a nifty email feature that you can use to take control your inbox. The trick takes less than a minute to implement and can save you hours in organization.
As noted by Gizmodo, you can add a modifier, such as a period or a “+” sign, to the first half gmail address and gmail will process the mail just like your regular email address. For example, email messages sent to firstname.lastname@example.org will handled just like messages sent to email@example.com. You can put the modifier at any point before the @ sign.
The power in this technique comes from Gmail’s filtering options that allow you to sort emails based on the email address that is being used for the message. For example, you can use firstname.lastname@example.org for all of your newsletters. When an email is sent to the email@example.com address, you can configure a filter to forward it to specific folder, delete it or more
A few days ago Sony announced it has now sold a total of 6 million PlayStation 4 consoles. Microsoft’s next-gen equivalent, the Xbox One, has likely racked up sales of around 4 million so far. Both flagship consoles were released around the same time in late November last year, in time for the 2013 holiday season. And both companies have been shouting loudly about who’s beating whom for cumulative console and games sales globally and in key markets like the U.S.
Anyone that sells anything wants an email address from me. There was a time when I could pretend to be a luddite and say I didn’t have one. But that’s getting harder to pull off and it doesn’t solve the issues presented by online stores that require an email address to do any transaction.
My primary concern is always that the email address will be abused, sold and ultimately create a lot more work for me.
CI professionals have expertise in data, technology, and analytics — all important ingredients of personalisation. But to make the analytically driven personalisation work, they must :
· Prioritize what to personalize. Marketers have a massive choice of assets to personalize for the customer — web pages, product and service recommendations, email, dynamic prices, discounts and offers, and marketing and advertising messages. Prioritize what to personalize by:
1) distilling the intended outcome, such as improving online shopping experience or improving discount redemption rates, and 2) looking back at A/B tests for clues to positive customer responses that explicitly show how an offer or piece of content worked better than others.
- Estimate customer’s expectation of personalization. Thanks to Amazon-like shopping experiences, customers expect a higher degree of personalization from digital channels than other channels. Before embarking on a significant technology investment for personalization, understand the level of expectations from customers though preference surveys, feedback forms, and even face-to-face interactions.
- Distinguish between known and unknown attributes. Successful personalization depends to a very large extent on using known data about personal preferences and behaviors of existing consumers. But when targeting prospects, firms need to rely heavily on analytics to build proxies for the unknown attributes of prospects. For example, this might mean judging a user’s interests based on recently visited websites or based on other known details that are similar to those of existing customers. With every accepted or rejected offer, prospects are giving more clues about their preferences.
- Understand the level of analytical complexity. The analytics complexity to execute personalization ranges from basic segmentation to real-time self-learning personalization. The level of sophistication in personalization depends on where the firm is in its analytics and technology adoption. For instance, to achieve real-time, self-learning personalization, the
firm must already have an advanced data infrastructure that seamlessly ties all customer and prospect data together. Work backward from what personalization is supposed to drive and then choose the appropriate analytical methodology.
- Choose the interaction context. The interaction context is the channel, either inbound or outbound, though which the customer or firm initiates a contact. To orchestrate cross-channel personalization, stitch the various channel deployment technologies together by evaluating the integration capabilities of single-channel vendors, such as Adobe Omniture, Baynote, or X Plus One, and multi-channel vendors, such as FICO, IBM Unica, Infor, or SAS.
1. Pride and Prejudice: Jane Austen
2. To Kill a Mockingbird: Harper Lee
3. Harry Potter series: JK Rowling
4. Wuthering Heights: Emily Bronte
5. Jane Eyre: Charlotte Bronte
6. Nineteen Eighty-Four: George Orwell
7. The Lord of the Rings series: JRR Tolkien
8. The Book Thief: Markus Zusak
9. The Hobbit: JRR Tolkien
10. The Great Gatsby: F Scott Fitzgerald
11.. The Kite Runner: Khaled Hosseini
12. The Hunger Games series: Suzanne Collins
13. The Time Travelers Wife: Audrey Niffenegger
14. The Chronicles of Narnia series CS Lewis
15. Of Mice and Men: John Steinbeck
16. Birdsong: Sebastian Faulks
17. His Dark Materials series: Philip Pullman
18. The Gruffalo: Julia Donaldson+ Axel Scheffler
19. The Catcher in the Rye: JD Salinger
20. Life of Pi: Yann Martel