8. Today, prospects take countless non-traditional, non linear journeys to become customers Why so many marketers taking the same journeys that they always have?
11. Marketing communications agencies are transforming as well: The new agency idea team Project management The new agency idea team combines account, creative & technology Technologist
14. Social commentary on Social Marketing… Future Man goes back to the 1960s AND “UPLOAD” PICTURES OF THEIR BREAKFASTS TO A “ FACEBOOK ” AND OTHER PEOPLE WILL LOOK AT THE BREAKFASTS AND MAKE COMMENTS SORRY TO BURST YOUR BUBBLE, DUDES. BUT YOU ASKED. YES, THAT’S THE FUTURE! FUTURE MAN, I CAN’T BELIEVE PEOPLE WILL FIND THAT MORE INTERESTING THAN READING NEWSPAPERS OR WATCHING NETWORK TV!! SO YOU’RE SAYING PEOPLE WILL “ TWEET” WHAT THEY EAT” FOR BREAKFAST?
29. A line of code is placed on your website. A user is tagged and added to your user population when they visit your site. When visiting an affiliated website, the user is served with a targeted ad. The user is brought back to your site for conversion. A. B. C. D. Remarketing increases conversions by targeting users that have already visited your website
34. A/B Split Testing Headline Image Offer Body Copy Test A Test B Headline Image Offer Body Copy Call to Action Call to Action Test one variable at a time
35. Multivariate Testing Headline 1 Image A Offer 1 Body Copy a Test A Test B Headline 2 Image B Offer 2 Body Copy b Call to Action I Call to Action II Test C Head line 3 Image C Offer 2 Body Copy c Call to Action III Test multiple variables at a time 3 6 Variables (3x3x3x3x3x3) = 729 Tests
1. Business contribution These are effectiveness measures comparing the performance of the online channel with other channels. Examples: • Online revenue contribution ($, %) – direct and indirect (i.e. transacted online and referred online from offline); • Online profit contribution ($, %) – Profit contribution to the company in the period; • Online sales transaction contribution (n, %) – direct and indirect (% sales online may differ considerably from % revenue or profit contribution if there is a different average order value or profitability online); • Online service transaction contribution (n, %, $) – what percentage of different types of customer service occur online. Cost savings can be calculated for these also; • Online reach % – Share of online users attracted to the site in an industry category in a week or month assessed by services such as Hitwise or Netratings. Strictly, reach should be assessed through reaching customers via third party sites; • Online market share – % of online market revenue captured in comparison with offline. This is difficult to establish in some markets, dependent on industry collaboration; • Online customer migration – % of existing customers using online services. 2. Marketing outcomes: • Sales (n, $) (If relevant); • Leads (n) (registrations of other opportunities to sell); • Cost per Acquisition (CPA) – Promotional cost of obtaining a first time sale; • Other costs – Cost of good sold and average margin. Cost of service; • Average order value (Basket size); • Lifetime value ($) for different customer groups; • Average touch frequency – for example, for e-mail marketing. 3. Customer satisfaction: • Customer satisfaction and loyalty indices; • Number of comments from site and e-mail (% favorable and unfavorable); • Brand metrics (brand favorability); • Site performance and availability; • E-mail enquiry response time and accuracy. 4. Customer behavior: • Site engagement rates (Bounce rates overall and for different pages); • Site conversion rates (Visit to Sale, Visit to opportunity and Opportunity to Sale); • E-mail conversion rates (Newsletter and campaign related); • Visits involving a page view in different categories (Product pages, Service pages, Where to Buy, Contact Us). Visits / customers can be scored according to this; • Visits to purchase/Time to purchase – indication of number of visits involved with purchase; • Number of products purchased per customer; • Transaction behavior (Recency, Frequency, Monetary value analysis for different categories and customer types). RF analysis also relevant for site visits, e-mail response and different service types; • Activity or participation levels (Percentage of customer base / registrations who are actively using online service(s)). nActivated, nActive, nDormant, nLapsed, etc.; • Loyalty or churn metrics (% of customers repeat purchasing in given time, e.g. 1 year). 5. Channel promotion: • Referrer mix from different sources (direct, search, affiliates, etc); • Share of search (main terms within market); • Cost Per Click/Cost Per Contact (Visitors) average and CPM average for online/offline ads. 6. Social Media A variety of measures that quantify some very soft measurements. This is state of the art just now.
Social networking now accounts for 11 percent of all time spent online in the US – with 100 million unique visitors and more than a billion tweets per month. The conversations taking place on these social networks can build or erode your brand, reputation, leads, sales and revenue. Marketers need to measure and manage the impact of social media interactions, better understand customer engagement, and establish a planning strategy to track sentiment, effect change and improve performance.
Learn Who the key influencers are Demographics, psychographics, specifics Create a dialogue with influencers to engage them Learn What is being talked about Including themes, tags, specific words Use these words in your own conversations, copy, keywords, etc. Learn consumers Mood . Are they positive or negative. What is the trend? Sentiment is an important behavioral and economic indicator
Create a solar system of owned media. Owned media is a channel you control. There is fully-owned media (like your website) and partially-owned media (like Facebook fan page or Twitter account). Owned media creates brand portability. Now you can extend your brand's presence beyond your web site so that it exists in many places across the web - specifically through social media sites and unique communities. In a recession in which marketing budgets are being cut by 20%, the ability to communicate directly with consumers who want to engage with your brand through long-term relationships can be invaluable. Recognize that earned media is a result of brand behavior. "Earned media" is an old PR term that essentially meant getting your brand into free media rather than having to pay for it through advertising. However the term has evolved into the transparent and permanent word-of-mouth that is being created through social media. You need to learn how to listen and respond to both the good (positive organic) and bad (spurned) as well as consider when to try and stimulate earned media through word-of-mouth marketing. Paid media is not dead, but it is evolving into a catalyst. Many people are predicting the end of paid media (aka advertising). However, that prediction may be premature as no other type of media can guarantee the immediacy and scale that paid media can. However, paid media is shifting away from the foundation and evolving into a catalyst that is needed at key periods to drive more engagement(e.g. Q4 holidays).
Angie's List is website which aggregates consumer reviews of local service companies , as a way to "capture word-of-mouth wisdom." [4] Angie's List is unusual in that it charges consumers to see reviews, [5] reflecting the company's claim that charging consumers "adds credibility to the information." [4] Angie’s list is available in more than 200 cities, all 50 United States, 400 employees and 1.2 million members.
Remarketing is a targeting solution for reaching users that advertisers have seen before on their site and are interested in re-capturing. This is done through the use of simple pixels and cookies to create a custom population of target users. Advertisers can then message these users at a later date.
Like other forms of direct marketing testing, merchants can use either A/B or Multivariate testing to test headlines, offers body copy, offers, calls to action, images, product pages, order pages, guarantees, prices, bonus offers, and many other variables Merchants often report dramatic increases when testing different copy text, form layouts, landing pages, images and background colors. However, not all elements produce the same increase in conversions, and by looking at the results from different tests, it is possible to identify those elements that consistently produce the greatest increase in conversions for a marketer’s web site. Different customer groups react differently, which is why testing is so important.
There are two kinds of web testing for E-Commerce sites. A/B testing, also called split testing, allows the testing of two different versions of a design, copy or offer, to see which performs the best. For decades, this has been a classic method in direct mail, where companies often split their mailing lists and send out different versions of a mailing to different recipients. A/B testing is also popular on the Web, where it's easy to make your site show different page versions to different visitors. Use A/B testing when a web site gets fewer than 1,000 page views per week. It is useful when testing big things. For example, if moving complete sections provides an advantage or if changing the overall copy and design works better than the established copy and design. Multivariate testing is the most robust way to test a lot of variables at one time. This advanced statistical methodology can test the effectiveness of limitless combinations. The only limits on the number of combinations and the number of variables in a multivariate test are the amount of time it will take to get a statistically valid sample of visitors and a marketer’s computational power. This form of testing can only be done when a web site receives more than 1,000 page views per week. It can help an E-Commerce merchant optimize multiple content changes in different parts of a multiple web pages simultaneously.
A/B testing is the simplest and easiest form of web testing. Based on “the Scientific Method” of statistical analysis, it’s main limitation is that only way variable can be tested at one time. In the example, all variables remain the same with the exception of the design. So, design is the variable that was tested. Headlines, offers, images or products could be tested. Often merchants choose A/B testing when they want to test completely different pages. That’s okay, so long as what is being analyzed as the variable is the complete difference. Like other forms of direct marketing, it’s best to test the big things. If you can’t see the difference in two different combinations being tested, it’s unlikely that visitors will.
Multivariate testing is an area of high growth, as it helps websites ensure that they are getting the most from the visitors arriving at their site. Search engine optimization and pay per click advertising bring visitors to a site and have been extensively used by many marketers. Multivariate testing allows marketers to ensure that visitors arriving at their website are being shown the right offers, content and layout to convert them to sale, registration or the desired action. In the example, headlines, offers, copy, images, background colors are tested. It’s easy to get carried away with multivariate analysis. So, it’s better to test a small number of variations to insure that there are at least 100 conversions per combination analyzed. Website visitors will vote with their clicks for which content they prefer. Multivariate testing is transparent to the visitor, and technology is capable of ensuring that each visitor is shown the same content on every visit. Both A/B and Multivariate Testing allow the market to decide a marketer’s best web page options. There is no room for guessing.
Measure results using multichannel attribution Last touchpoint attribution is flawed at best Weight channels based on introductory Vs influencer channel, ad size, offer, message, page views, time on page, etc. E.G. Try to identify affinities between display creative assets and search keywords