A finished BUS-655 Topic 5 promotion attribution dq post example, separating a giveaway night's crowd from the giveaway's effect and answering a classmate who read them as the same number. Searches like "bus 655 topic 5 assignment example", "bus655 topic 5 sample" and "bus-655 topic 5 example" land here.
What a finished BUS-655 Topic 5 promotion attribution dq post looks like
The finished post leads with a claim a classmate can dispute: the giveaway night's crowd overstates what the giveaway did, possibly by a lot. It separates three quantities the prompt tends to blur, the crowd that came, the crowd the date would have drawn anyway and the crowd borrowed from nearby dates. The expected figure comes from the club's attendance model for a July Saturday against a familiar opponent, already the strongest slot on the calendar. Illustrative, labeled numbers show the gap. The post then checks the Friday and Sunday either side, where sales dipped against their own expected levels, and subtracts the dip. First-time buyer counts from the ticketing system suggest how much of the lift was new demand. A reply takes on a classmate who read the full crowd as the effect.
How a BUS-655 Topic 5 example is structured
The example contains an initial answer and a reply. The initial post puts its claim first and names the three quantities it will keep apart. Its second paragraph builds the baseline, explaining that the promotion sat on a date the model already expected to sell well, a scheduling habit that flatters promotions. The third paragraph looks at adjacent dates for signs of borrowed demand and subtracts what it finds. The fourth uses first-time buyer counts to ask whether the giveaway reached anyone new, which is the outcome worth paying for. A short closing paragraph proposes putting the next giveaway on a weaker date, where its effect could be read more cleanly. The reply grants the classmate's point that the crowd was real revenue, then argues that the question concerned incremental revenue and shows the post's estimate answering it.
Three numbers the prompt runs together
Actual attendance, the attendance the date would have drawn anyway and attendance borrowed from neighboring dates are named separately before any estimate appears.
A baseline from the attendance model
The expected crowd for a July Saturday against a familiar opponent comes from the model built earlier, which makes the comparison explicit instead of assumed.
Neighboring dates checked for borrowed fans
Friday and Sunday sales are compared with their own expected levels, and any shortfall is subtracted from the lift the giveaway appeared to produce.
New buyers as the outcome worth buying
Ticketing records show how many giveaway-night accounts had never purchased before, which separates reaching new demand from rewarding fans who would have come regardless.
A weaker date proposed for next time
Holding the next giveaway on a midweek date would let its effect stand out against a smaller baseline, and the post recommends exactly that.
A reply that concedes the revenue
Replying to a classmate, the post grants that the crowd produced real gate income, then shows why that differs from the income the giveaway itself generated.
Where marks go in BUS-655 Topic 5
Posts that report the promotion's crowd as its effect repeat the error the prompt is written to expose. Answers that mention cannibalization as a concept and never look at the adjacent dates earn little for it, since the check is cheap and the data sits in the ticketing system. A baseline chosen loosely, the season average rather than the expected crowd for that slot, inflates the lift of any promotion scheduled on a strong date, and nearly all giveaways are. The opposite overreach also costs credit: declaring the promotion worthless because the crowd would have been large anyway, without estimating what it added, swaps one assertion for another. A reply that only seconds the classmate leaves participation points on the table. Attendance invented for a named club is a defect, whereas composite dates with labeled figures are fine.
Get a BUS-655 Topic 5 example written to your instructions
Send the BUS-655 Topic 5 discussion question as it appears in your classroom, the participation rubric and any classmate post you must answer. The custom example is written to those criteria, with the crowd separated from the effect, a baseline built, adjacent dates checked and a reply that engages the other view, in 24 to 48 hours. The first one is free.
BUS-655 Topic 5 questions, answered
Why not compare the promotion night with the season average?
Because promotions are rarely scheduled on average dates. Clubs put giveaways on weekends in good weather against popular opponents, which are the dates that sell best anyway. Comparing with the season average credits the promotion with the advantage of its slot. An expected crowd for that specific date, from a model or from matched past dates, is the fairer comparison.
What is cannibalization in attendance?
Demand that a promotion moves rather than creates. A fan who would have attended Friday switches to Saturday for the giveaway, so Saturday gains, Friday loses and the club's season total barely changes. Checking the dates around the promotion against their own expected levels shows whether that happened, and subtracting the shortfall gives a truer picture of what the promotion added.
Can a discussion post really estimate a causal effect?
It can estimate one honestly, with its assumptions stated, which is what the prompt usually wants. A post will not settle the question the way a planned experiment would, and saying so strengthens it. Many strong answers end by proposing the test that would settle it, such as alternating promotions across comparable dates, which leads naturally into later topics on testing decisions.