A finished MKT-462 Topic 6 geo lift test design example, assigning a gym chain's markets to paused and continued paid social and fixing the measure, length and decision rule before launch. Searches like "mkt 462 topic 6 assignment example", "mkt462 topic 6 sample" and "mkt-462 topic 6 example" land here.
What a finished MKT-462 Topic 6 geo lift test design looks like
Sixteen markets are the raw material of the finished design, every figure labeled illustrative. They are first paired on twelve months of new memberships, gym count and seasonality, and one market in each pair is then assigned at random to have paid social paused for six weeks. Before launch, the design checks that the paused and continued groups tracked each other closely over the prior year, and it shows that check as a chart. The outcome is new memberships from every source, counted in the gyms' own system, so the platform's conversion report plays no part in the verdict. A power estimate states the smallest lift the test could detect, about 8 percent. The decision rule is fixed before launch, so the result cannot be read afterward to suit whoever hoped for a particular answer.
How an MKT-462 Topic 6 example is structured
The design is ordered the way a skeptical finance reader would check it. Its first section poses the question, how many memberships paid social adds, and explains why platform reports cannot answer it. Market selection follows, with the sixteen markets listed, the pairing variables named and the random assignment within pairs described. A pre-period section shows the two groups' membership trends over the prior year and the test of whether they moved together. The treatment section specifies what changes, paid social paused in eight markets for six weeks, and what stays fixed, including pricing, email and every other channel. Measurement comes next: the outcome, its source and the power estimate. A section on threats addresses spillover from people who see ads in one market and join in another, and a holiday that falls inside the window. The written decision rule completes the design.
Markets paired before any are assigned
Sixteen metros are matched in pairs on past memberships, gym count and seasonality, so a random draw within each pair yields two groups that start alike.
A year of trends checked first
The paused and continued groups are compared over the prior twelve months, and the test proceeds only because their membership curves moved together.
Everything else held constant
Pricing, email and other channels stay unchanged during the six weeks, so a difference between groups can be traced to the paused social spending.
The chain's own count as the outcome
New memberships are taken from the chain's system across every source, which keeps the advertising platform from grading its own contribution.
The smallest lift the test can see
A power estimate puts the detectable effect near 8 percent, and the design says in advance that anything smaller will read as no measurable difference.
Commuters who cross market lines
Climbers who live in one metro and join a gym in another can blur the comparison, so the design drops border areas where that crossing is common.
Where marks go in MKT-462 Topic 6
Before-and-after designs with no comparison group are penalized most on this topic, since six weeks of lower spending coincide with a season, a price change or a new competitor, and nothing separates those from the ads. Choosing test markets by convenience, the ones a manager could spare, is the next common fault, because the groups then differ before the test begins. Many drafts skip the pre-period check and simply assume matched markets move together. Using the platform's own conversion count as the outcome lets the thing being tested report on itself. Designs that omit a power estimate cannot tell a null result from a test too small to see anything. Leaving the decision rule until the numbers arrive invites the reading nearest to what someone hoped, which every earlier choice in the design was made to prevent.
Get an MKT-462 Topic 6 example written to your instructions
Send the MKT-462 Topic 6 instructions and the rubric listed in your classroom, with the channel, markets or data your section supplied. We write a custom example to them, with markets paired and randomly assigned, pre-period trends checked, an outcome independent of the platform, power estimated and the decision rule fixed in advance, in 24 to 48 hours. The first one is free.
MKT-462 Topic 6 questions, answered
What is a geo lift test?
An experiment that changes advertising in some geographic areas and not in others, then compares results between them. Because the areas are assigned at random from matched pairs, the difference estimates what the advertising added, and the comparison does not depend on tracking individuals. That makes it useful where cookies, consent choices and device switching break user-level measurement. Its weaknesses are cost, the number of markets needed and spillover between neighboring areas.
Why not use the ad platform's own lift study?
Platform studies can be well designed, often holding out a random group of users from seeing ads, and they are a reasonable input. The concern is that the platform selling the ads also defines the outcome, the audience and the analysis. A geo test measured in the gym chain's own membership system gives an independent answer, and the example treats agreement between the two as stronger evidence than either alone.
What is statistical power in a marketing test?
The chance that a test will detect an effect of a given size if the effect really exists. Few markets, short tests and noisy outcomes all lower it, and a test with low power can easily report no difference when advertising did work. The example estimates power before launch from the markets' past variation and states the smallest lift the design could reliably see, so a null result can be read correctly.