'Web Analytics' Category

Report: Fashion Events & Social Media: 4 Campaigns Analyzed

Posted by Doug Schumacher on January 29th, 2015 at 4:08 pm

How does a fashion brand leverage a major industry event? This report analyzes the content strategies and tactics of four major luxury fashion brands during Milan Fashion Week. The following slides will reveal details about each brand’s posting calendar, social networks employed, engagement levels generated and the posts that made the biggest impact.
Highlights

Instagram is the dominant social network for live fashion events
Only 1 of the 4 campaigns included posting to Facebook
Posting for each brand is scheduled around their live fashion show

2015 Marketing Predictions You Can Set Your Digital Watch By

Posted by Kent Lewis on December 19th, 2014 at 12:12 pm

However improbably, December has already arrived, and with it, the traditional impulse to take stock of the year drawing to a close and try to imagine what we’ll be getting ourselves into with the next one. Digital marketing is particularly rich soil for this treatment both because of the blinding pace at which the underlying technologies evolve, and the fact that most of us in the field are more than a little inclined toward the sentimental. Accordingly, we at Anvil enjoy making a formal exercise every year out of having this conversation, and it’s time to have it again, so take a break from wrapping presents and meet me over at the crystal ball.

3 CPG Soft Drink Social Media Campaigns Analyzed

Posted by Doug Schumacher on December 15th, 2014 at 12:33 pm

A look at the campaigns major CPG soft drink companies are running on Facebook, Twitter and Instagram. Brands in report are Coca-cola, Pepsi, Mountain Dew, Sprite, Dr Pepper and Fanta.
Report Highlights

Each campaign had a different social network drive the bulk of the engagement.
Each campaign employed a tactic for generating audience participation.
Twitter is the network with the highest posting volume in each campaign.
Twitter, despite having lower fan counts than the corresponding Facebook pages, delivered more engagements on 2 of the 3 campaigns.
Facebook is the dominant network for reach, with over 92% of the average fan count.

2015 Mobile Marketing Predictions – from 2005 (Pt 1)

Posted by Rick Mathieson on December 5th, 2014 at 11:07 pm

Let’s just say I had a head start on my 2015 mobile marketing predictions.
In 2005, my first book, BRANDING UNBOUND, hit bookshelves proclaiming a new era for marketing – one where the most measurable, personal and direct link to consumers ever created would change the world of marketing forever.
Written in 2003 and 2004, and published in June of ’05, I prognosticated about Apple Pay, iPad, Google Glass, Nest – and trends like marketing personalization, mixed reality social apps, augmented reality and more.
The book came out in June 2005 - two full years before the first iPhone was launched and heralded seismic changes to our relationship with technology.
Advertising that anticipates what you want and offers it before you even think you want it.

Services that let you shop for pizza, music, books and movies – anywhere, anytime.

Offers sent to you in-store, based on your age, gender, location, stated preferences and past purchase history—and even what merchandise you’re holding in your hands,  in real time.

Mobile, social platforms that let you do everything from get your gossip on to facilitating real-world meet ups between “crushes” who happen to be within 10 blocks of each others' physical location.

Stores... Read more

How to Create Amazing Video Content Using Your Analytics

Posted by Colin Osing on December 5th, 2014 at 5:41 pm

All great marketers know – if your content isn’t performing well, you will need to dive into your analytics to see what’s really going on. The only way to optimize your content is to analyze your data, pinpoint areas of improvements, make the necessary changes and test - and it’s no different with video content.

While it might sound daunting to make changes to a complete video, it doesn’t have to be. There’s a formula to it really: divide your video into three distinct parts—Acts 1, 2 and 3—then analyze your drop-off rates for each section. When you think of your video as three separate pieces of content, it makes it much easier to analyze each section for variables and look for areas of improvement.