Which Marketing Levers Move Sales Most?

Marketing AnalyticsSrinivasan, S.; Vanhuele, M.; Pauwels, K. · 2010Journal of Marketing ResearchEvidence: 62 brands analyzed (of 74) across 4 FMCG categories; 96 four-weekly observations per brand, Jan 1999-May 2006
Topicsmind-set metrics·brand consideration·advertising awareness·brand liking·sales response models·distribution elasticity·leading indicators

The annual planning meeting is fighting over the ad budget and the promo calendar; nobody is fighting over shelf presence. That is the wrong argument twice over. Distribution shows the largest sales response of the four levers here, and price is the only one in the same league, so shelf presence deserves a place on the agenda. But the study ranks how much sales respond to each lever; it does not tell you which one you could stop doing. The same seven years of data show why the brand tracker, often first on the cut list, belongs in the plan too: once all four levers are in the sales model, what customers recall, consider, and like still explains about a sixth of the variation in brand sales, and those metrics reach their peak effect on sales about two months after they move.

For established brands, sales respond most to distribution and price; read the ranking as a size comparison, not a budget menu.

Budget planning usually treats distribution as a hygiene factor, not a growth lever. Seven years of tracking across established consumer-goods brands says the opposite: a 1% gain in how widely the brand is stocked moves sales about 2.4% over time, and a 1% price increase cuts sales by about 1.7%, against roughly 0.3% for promotion and 0.04% for advertising. What the study ranks is how much sales respond to each lever. It does not test whether any lever could be dropped, so the ranking is not a licence to move money from the bottom of the list to the top. The more useful question is what each input adds on top of the others, and there the customer's mind earns its place: advertising awareness, consideration, and liking, a brand's own and its competitors' together, explain 16.3% of the variation in brand sales in a model that already contains all four levers.

Data chart

Sales response to a 1% change in each marketing lever

Distribution (how widely thebrand is stocked)2.424Price (sales fall as pricerises)-1.734Promotion.277Advertising.036

How much sales respond differs sharply across the four levers, with distribution and price ahead of promotion and advertising. The chart ranks response size only; the study does not test whether any lever could be dropped.

Action guide

  1. Wire the brand tracker into sales forecasting, not just reporting.Adding advertising awareness, consideration, and liking made the sales model noticeably better at explaining brand sales, so the tracker belongs in the forecast as an input, not in the appendix as a brand-health report.
  2. Use the two-month early-warning window.Declines in advertising awareness, consideration, or liking reach their peak effect on sales about two months later. The authors suggest answering a consideration decline with price or promotion changes, which act faster, and a liking decline with more advertising weight and better copy. They did not run those interventions, so treat both as responses to test.
  3. Protect retail distribution for established brands.It shows the largest sales response of the four levers here, and it is also the marketing action most closely associated with movement in all three brand metrics. The authors note that distribution varies little in the three-year weekly data sets mix models usually run on, which is why its long-term effect needs a longer observation window to show up at all.
  4. Read advertising's small number as a measurement fact, not a verdict on advertising.Its measured sales response here (about 0.04% per 1% of spend) is the smallest of the four levers and in line with earlier research, and the paper offers no explanation for why it is that small. What the paper does say is that the brand metrics most likely carry brand-experience information the marketing-mix model never sees, such as product quality, degree of innovation, and brand image.
  5. Track competitors' advertising awareness, consideration, and liking alongside your own.Competitors' brand metrics explain 7.9% of your sales variation against 8.4% for your own, so a tracker that watches only your brand misses roughly half the signal.
  6. On premium brands, test whether the tracker deserves more weight.Brand metrics explain more of the sales variation for expensive brands (17.6%) than inexpensive ones (14.2%), which fits the idea that buyers deliberate more over a costlier purchase, so more of the decision runs through what they think and feel. The authors label the pattern speculative, so test it on your own categories rather than reallocating on it.

Evidence

  • Advertising awareness (whether people recall your ads), consideration, and liking, yours and competitors' combined, explain 16.3% of the variation in brand sales in a model that already includes all four marketing levers. This is the incremental contribution the four levers cannot account for.
  • Adding those three brand metrics to a model that already contains price, promotion, distribution, and advertising raises how much of brand sales the model explains from 53% to 61%.
  • Brand sales respond most to distribution: a 1% gain in how widely the brand is stocked, weighted by store sales, moves sales about 2.4% over time, the largest response of the four levers.
  • Price is the only lever in the same league: a 1% price increase cuts sales by about 1.7% over time.
  • Promotion (about 0.3%) and advertising (about 0.04%) show much smaller responses. Advertising's 0.04% is the total response accumulated over time, slightly below and of the same order as the 0.05% reported as an empirical generalization in earlier research; the paper offers no further explanation for its size.
  • Brand metrics reach their peak effect on sales about two months after they move, later than promotion (about one month) and price (about one and a half), which is what makes them early-warning indicators rather than backward-looking scorecards.

Key takeaway

Distribution shows the largest sales response of the four levers, and the customer's mind explains about a sixth of the variation in brand sales that the marketing mix alone cannot.

Source

Srinivasan, S., Vanhuele, M., & Pauwels, K. (2010). Mind-set metrics in market response models: An integrative approach. Journal of Marketing Research, 47(4), 672–684.

Read the paper ↗

Evidence strength: Strong (seven-year four-weekly field panel of 62 established French consumer-goods brands across four categories; the core mind-set contribution finding holds for sales volume, market share, and revenue; observational tracking data, not an experiment). Generalizes most confidently to mature packaged-goods brands with regular survey-based brand tracking; less confidently to durables, services, new products, other countries, or individual-consumer decisions.

Same study, another angle

Brand Metrics as Early WarningAdvertising awareness, consideration, and liking are sales drivers, not soft metrics.Read this translation →