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626<br />

Part Six Monitoring, Evaluation, and Control<br />

Belch: Advertising and<br />

Promotion, Sixth Edition<br />

Figure 19-1 Classification<br />

of testing methods<br />

VI. Monitoring, Evaluation,<br />

and Control<br />

19. Measuring the<br />

Effectiveness of the<br />

Promotional Program<br />

© The McGraw−Hill<br />

Companies, 2003<br />

(front page versus back page) and size of ad or length of commercial also merit<br />

examination. For example, research has demonstrated that readers pay more attention<br />

to larger ads. 7 As shown earlier, a variety of methods have been employed to measure<br />

the effectiveness of advertising on the Internet. Similarly, direct-response advertisers<br />

on TV have found that some programs are more effective than others. One successful<br />

direct marketer found that old TV shows yield more responses than first runs:<br />

The fifth rerun of “Leave It to Beaver” will generate much more response than will the first<br />

run of a prime-time television program. Who cares if you miss something you have seen four<br />

times before? But you do care when it’s the first time you’ve seen it. 8<br />

Another factor is the vehicle option source effect, “the differential impact that the<br />

advertising exposure will have on the same audience member if the exposure occurs in<br />

one media option rather than another.” 9 People perceive ads differently depending on<br />

their context. 10<br />

A final factor in media decisions involves scheduling. The evaluation of flighting<br />

versus pulsing or continuous schedules is important, particularly given the increasing<br />

costs of media time. As discussed in Chapter 10 and IMC Perspective 19-1, there is<br />

evidence to support the fact that continuity may lead to a more effective media schedule<br />

than does flighting. Likewise, there may be opportunities associated with increasing<br />

advertising weights in periods of downward sales cycles or recessions. The<br />

manager experimenting with these alternative schedules and/or budget outlays should<br />

attempt to measure their differential impact. 11<br />

Budgeting Decisions A number of studies have examined the effects of budget<br />

size on advertising effectiveness and the effects of various ad expenditures on<br />

sales. Many companies have also attempted to determine whether increasing their ad<br />

budget directly increases sales. This relationship is often hard to determine, perhaps<br />

because using sales as an indicator of effectiveness ignores the impact of other marketing<br />

mix elements. More definitive conclusions may be possible if other dependent<br />

variables, such as the communications objectives stated earlier, are used.<br />

When to Test<br />

Virtually all test measures can be classified according to when they are conducted.<br />

Pretests are measures taken before the campaign is implemented; posttests occur<br />

after the ad or commercial has been in the field. A variety of pretests and posttests are<br />

available to the marketer, each with its own methodology designed to measure some<br />

aspect of the advertising program. Figure 19-1 classifies these testing methods.<br />

Pretesting Pretests may occur at a number of points, from as early on as idea<br />

generation to rough execution to testing the final version before implementing it. More<br />

than one type of pretest may be used. For example, concept testing (which is discussed<br />

later in this chapter) may take place at the earliest development of the ad or commercial,<br />

when little more than an idea, basic concept, or positioning statement is under<br />

Pretests<br />

Laboratory Methods<br />

Consumer juries Theater tests Readability tests<br />

Portfolio tests Rough tests Comprehension and<br />

Physiological measures<br />

Field Methods<br />

Concept tests<br />

reaction tests<br />

Dummy advertising vehicles<br />

Posttests<br />

Field Methods<br />

On-air tests<br />

Recall tests Single-source systems Recognition tests<br />

Association measures Inquiry tests Tracking studies

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