What 2014 will bring, part two: increased accountability

In 2014, we’ll continue to see marketers respond to increased pressure to prove the efficacy of what they do. For marketers executing social programs that occur both online and off, this will take three primary forms:

Matched-panel analyses for determining overall sales lift and ROI

There remains no better way to determine the sales lift and ROI of an online and offline social-marketing program than a matched-panel analysis (MPA). MPAs evaluate a product’s market-level sales data, generally from Nielsen, IRI, or the marketer’s own database. After a campaign’s word of mouth (WOM) has had time to spread, and the consumers it reached have had time to purchase, the marketer compares the total sales in test and control markets to calculate the sales lift and ROI. While MPAs aren’t perfect — they can’t account for (and therefore credit) the impact of digital WOM that spreads beyond the test markets — they’re still the best way to measure the overall sales lift and ROI.

Shopper data analyses for insights on consumer behavior

While matched-market studies can determine overall ROI, shopper-data analyses color in the details. Shopper-data analyses compare shopper-level purchase information (from a provider such as Datalogix or Nielsen Catalina Solutions) of consumers the marketer directly reached with that of a look-alike control group. After the WOM has spread, the marketer compares such metrics as dollar sales, unit sales, dollars per trip, frequency of trips, basket ring and loyalty (the extent to which a consumer switched to or from the brand). Shopper-data analyses can’t determine the total sales lift and ROI of a campaign, since they only include the consumers the marketer reached directly, and not those reached via consumer advocates. But because they reveal individual behavior (as opposed to MPAs, which reveal market behavior), they help marketers understand what’s behind the campaign’s sales lift and ROI.

Marketing mix models for comparing the ROI of social marketing with the rest of the mix

Marketing mix modeling (MMM) can compare the ROI of social-marketing programs with that of other elements in the marketing mix. MMM is an advanced analytical technique, generally outsourced by brands to specialized modeling firms, such as Analytic Partners and Nielsen. The modelers input 1-3 years of the brand’s marketing and performance data to discern how well each element worked. Until recently, MMM couldn’t “read” the impact of WOM, especially offline WOM. But leading modelers have lately begun to crack that code and are building models that accurately credit social-marketing programs, enabling marketers to truly see the relative value of all the elements in their mix.

Using these three analytical techniques, marketers will strengthen the measurement and increase the accountability of their social marketing programs in 2014.