BUSI 430 Week 3 Essay 2 Example

Spending With Evidence: How an Advertising Manager Should Judge Whether Campaigns Work

Introduction

Advertising managers face a difficult problem: they must decide how much to spend on campaigns whose effects are usually small, delayed and mixed with many other influences on sales. Clow and Baack (2018) describe advertising management as a process of setting goals, choosing and working with agencies, and planning campaigns that fit the firm's integrated marketing communications. The hardest part of that process is knowing whether a campaign worked. This essay argues that the research evidence calls for humility about advertising's effects and for a management approach built on clear objectives, attention to the message, controlled testing and measurement of financial results.

More Weight Is Not Enough

The most influential evidence comes from experiments. Lodish et al. (1995) analyzed 389 split-cable television tests, in which households in the same markets received different advertising while their purchases were tracked. For established brands, increasing advertising weight alone frequently failed to produce a measurable increase in sales. Changes in copy, media strategy and targeting were more likely to matter, and new products responded more strongly than established ones. The finding challenged the common assumption that a brand can buy sales simply by buying more airtime.

For a manager, the implication is that the decision to increase spending should depend on what will be said and to whom, not merely on how much. An established brand that keeps running the same message at higher weight may be paying for exposures that change nothing.

Smaller Effects Than Expected

A more recent study reinforced the point at a much larger scale. Shapiro et al. (2021) estimated the sales effects of television advertising for 288 consumer packaged goods brands using detailed market data. They found that advertising effects were much smaller than many earlier estimates suggested, and that for most brands the returns did not justify the amount being spent, implying that many were advertising more than would be profitable. Sethuraman et al. (2011), combining decades of earlier studies, had already found modest average effects, with a short-term elasticity of about 0.12, so the newer study suggests that even modest averages may overstate what typical brands gain.

These findings do not mean advertising is useless; averages hide brands with strong effects, and long-term brand building may not show up in short sales windows. They do mean that a manager cannot assume a campaign is working because sales rose while it ran.

No Single Path to Purchase

Part of the difficulty lies in how advertising works. After reviewing roughly 250 studies, Vakratsas and Ambler (1999) concluded that rigid step models, awareness then knowledge then liking then buying, fit the evidence poorly. Advertising's effects pass through thinking, feeling and experience in varied combinations, depending on the product and the consumer. For a low-involvement product, an ad may simply keep the brand familiar until the next purchase; for an expensive product, it may supply information the buyer weighs carefully. A manager therefore needs measures matched to the product: repeat purchase and share of shelf for a snack, inquiries and test drives for a car. A single measure, such as recall, cannot capture all of these effects.

Recommendations for Managing Advertising

The research points to four practices. First, set specific objectives tied to the customer's decision, as the textbook's account of advertising goals recommends, whether the goal is awareness, trial, repeat purchase or a change in brand perception. Second, treat the message as the main lever. Lodish et al. (1995) found copy changes more promising than weight changes, so the creative brief deserves as much attention as the media plan. Third, test before scaling: run a campaign in some markets or for some customer groups and compare results with similar areas that did not receive it. Fourth, connect communication results to financial outcomes. Rust et al. (2004) describe a chain in which marketing actions affect customer attitudes and behavior, which affect market share and sales, which in turn affect financial results and firm value; managers should trace their campaigns along that chain rather than stopping at awareness scores.

Working With the Agency

These practices also shape the relationship with an advertising agency, which the textbook treats as a central part of advertising management. When agencies are paid mainly as a percentage of media spending, they may have little reason to recommend testing that could reduce the budget. Clow and Baack (2018) describe alternative compensation arrangements, including fees and incentive-based pay tied to results. A manager who wants evidence-based advertising can align the agency's interests with that goal by tying part of its compensation to agreed outcomes, such as sales lift in test markets, and by asking for creative alternatives that can be tested against one another. The creative brief should state the objective in measurable terms, so that both the agency and the client know in advance what success will look like.

The manager's internal role matters as well. Senior leaders often judge advertising by whether they like the ads or whether competitors are advertising more. A manager who presents test results and financial outcomes, rather than awards or impressions, changes that conversation and builds support for spending that can show its value.

Application: A Snack Brand

Consider a composite regional snack brand planning a new television and online video campaign with a 20 percent larger budget. Following these practices, the brand would set an objective of increasing trial among households with children, test two creative approaches in matched markets for eight weeks, and run the higher spending level in only half the test markets. If neither the new message nor the extra weight produced a measurable sales difference, the brand would redirect the budget to in-store promotions or sampling. If one message clearly outperformed, the brand would scale it, tracking not just sales but margin and repeat purchase to confirm the effect was profitable.

Conclusion

Advertising management is easiest when effects are assumed and hardest when they are measured. The evidence shows that more spending alone often does not raise sales, that typical effects are modest and that advertising works through varied paths. Managers who set clear objectives, focus on the message, test before scaling and follow results through to profit will spend less on campaigns that do nothing and more on those that build the brand.

References

Clow, K. E., & Baack, D. (2018). Integrated advertising, promotion, and marketing communications (8th ed.). Pearson.

Lodish, L. M., Abraham, M., Kalmenson, S., Livelsberger, J., Lubetkin, B., Richardson, B., & Stevens, M. E. (1995). How T.V. advertising works: A meta-analysis of 389 real world split cable T.V. advertising experiments. Journal of Marketing Research, 32(2), 125-139. https://doi.org/10.1177/002224379503200201

Rust, R. T., Ambler, T., Carpenter, G. S., Kumar, V., & Srivastava, R. K. (2004). Measuring marketing productivity: Current knowledge and future directions. Journal of Marketing, 68(4), 76-89. https://doi.org/10.1509/jmkg.68.4.76.42721

Sethuraman, R., Tellis, G. J., & Briesch, R. A. (2011). How well does advertising work? Generalizations from meta-analysis of brand advertising elasticities. Journal of Marketing Research, 48(3), 457-471. https://doi.org/10.1509/jmkr.48.3.457

Shapiro, B. T., Hitsch, G. J., & Tuchman, A. E. (2021). TV advertising effectiveness and profitability: Generalizable results from 288 brands. Econometrica, 89(4), 1855-1879. https://doi.org/10.3982/ECTA17674

Vakratsas, D., & Ambler, T. (1999). How advertising works: What do we really know? Journal of Marketing, 63(1), 26-43. https://doi.org/10.1177/002224299906300103