Open the file and follow the instructions. ALSO, TAKE A LOOK AT THE RUBRIC FILE WILL LOSE POINT IF YOU DIDNT FOLLOW IT. There is a link to listen to answer all the questions. I will upload another file to respond to later
Week 3 Discussion
One of the most important parts of the advertising management process assessing the outcome and adjusting the objective, budget, creative, or media outlet choices. But how can you know if you’re on the right track? Please listen to the following
NPR Planet Money Podcast #669 A or B
which is available to listen to via your phone on itunes, stitcher or other podcast apps available on your phone.
Answer the following:
1. What is A/B testing and how does A/B testing help the marketer understand if the advertising objective was met?
2. Do a google search, and see what other types of testing or marketing research is useful in determining the effectiveness of advertising
Ideas for a second post include: posts on testing and any aspect of advertising including creative, persuasiveness, and media choices; posts on how testing is used in advertising agencies or agencies that specialize in advertising testing.
Teaching by Example: Discussion Board Rubric (Grade Assessment)
The objective is the DB Rubric is give clear direction on DB grading outcomes. The rubric gives examples of what is expected to earn an A, B, C, or failing grade on the DB’s each week. Of course most students want to earn an A! So, if an A is your goal, aim for ‘Outstanding’ and complete all of the criteria for an outstanding grade!
Criteria |
A (25 points) |
B (20 points) Proficient |
C (15 points) Basis) |
D/F (10 points and below) Below Expectations |
Critical Thinking |
· rich in content · full of thought, insight, and analysis |
· substantial information · thought, insight, and analysis has taken place |
· generally competent · information is thin and commonplace |
· rudimentary and superficial · no analysis or insight is displayed |
Connections |
Clear connections · to previous or current content · to real-life situations |
· connections are made, · not really clear or too obvious |
· limited, if any connections · vague generalities |
· no connections are made · off topic |
Uniqueness |
· new ideas · new connections · made with depth and detail |
· new ideas or connections · lack depth and/or detail |
· few, if any new ideas or connections · rehash or summarize other postings |
· no new ideas · “I agree with …” statement |
Timeliness |
· 1 post, 2 replies, 2 different days · early in discussion · throughout the discussion |
· post/reply, same day · some not in time for others to read & respond |
· 1 post or 1 reply · most at the last minute without allowing for response time |
· some, or all, required postings missing · very little content |
Stylistics |
· few grammatical or stylistic errors · key ideas are in bold font · proper references when needed (or page numbers to text) |
· several grammatical or stylistic errors · key ideas in bold font |
· obvious grammatical or stylistic errors · errors interfere with content\ · no bold font |
· obvious grammatical or stylistic errors
· makes understanding impossible |
Discussion Board Rubric
Original: Lynnda L. Brown, October 2002, amended by Deborah M. Gray, Ph.D,(2015)
Lauren Vondette
The NPR podcast “Planet Money” describes
A/B testing is figuring out whether option A works better, or option B. By work better, that could mean driving more clicks to a website, increasing the number of listeners on a podcast, or proving that kid’s shoes sell better when they are placed in the front of the store. A/B testing is used in everything whether we realize it or not. From our textbook “Integrated Marketing Communications”, advertising objectives can be either direct or indirect, meaning they can have a communication goal or a sales goal. A communication goal has anything to do with consumers awareness, knowledge, liking, preference for conviction of a particular brand or product. On the other hand, sales objectives obviously coincide with the advertisements ability to generate sales. A/B testing can help marketers understand if they’re meeting these goals by analyzing raw data. For instance, if a company is trying to increase sales of their new t-shirt line. They would run an A/B test in store, possibly placing the sign for their shirts in the front of store or outside the store, then use t-shirt sales to decide which is better.
After a brief google search, I found that a common way to test the effectiveness of an advertisement is using marketing analytic companies. I quickly discovered that there are many different companies that focus on providing certain types of data. For instance, Heap Analytics is a tool that helps marketers track any action on their website that they wish. They can use Heap to filter through certain information to give them a look into exactly what metrics they want. Another example is KissMetrics, is a behavioral analytics tool that tracks what users do while on a website. Marketers could use this tool to show if the banner at the top of the page showcasing their new line of swimwear, is getting the interactions that they wished. There are many more tools just like this one that give marketers insights into the attractiveness of their ads.
“NPR Podcast”
https://www.npr.org/transcripts/459412925?storyId=459412925?storyId=459412925
“Advertising, Promotion, and other aspects of Integrated Marketing Communications” By: Andrews & Shimp
Data Analytics Blog http://blog.oribi.io/marketing-analytics-tools/
Megan Sandven
A/B testing is a technique used to compare two versions of a webpage, app, etc. against each other to determine which one performs better. A/B tests re used everywhere from major websites, stores and classrooms to try to figure out if people like version A or version B better. By experimenting with this testing, marketers can understand which version or method was more successful by comparing results. Like the example from the podcast, Dan ran tests on Obama’s website by changing wording, pictures, size of the sign up button and when he evaluated the A/B tests and altered the website, the sign-up rate was up more than 40%. These results clearly showed that his changes worked and the advertising objective was met.
There are many other ways to test the effectiveness of advertising. One way is by doing a pre-test and a post-test. The pre-test assesses advertising messages before it is sent to specific media while the post-test evaluates the impact of the advertising message after it is published in any of the media. Another way is experimental testing which involves examining the advertising effect by conducting tests by manipulating an independent variable and measuring the effect of the manipulation on the dependent variables like sales, profits, consumer satisfaction, etc. Advertising research can be tested multiple ways but the main goal is to discover which ads will be most effective. The research is done through detailed research before a campaign as well as analyzing the success of the campaign.
https://www.decisionanalyst.com/whitepapers/adtracking/