Using buzz analytics to gain a product and marketing edge
By
capturing and analyzing social-media conversations, companies can improve their
offerings and margins.
Gaining even a slight
edge in today’s
tightly contested, rapidly shifting product markets can help companies reap
sizable gains in share and margins. In this game of inches, the required
capabilities are zeroing in on what consumers really want and will pay for,
unearthing chatter about product deficiencies that undercut sales, and knowing
where product designs should be tweaked to shave costs. Yet doing all this at
scale—over tens (if not hundreds) of product categories and hundreds (even
thousands) of SKUs—confounds most consumer and retailing businesses. Quantitative
and survey-laden tools, such as conjoint analysis, can help companies focus on
whether their customers value specific features and on possible trade-offs
among them. But companies rarely apply these time-consuming, costly exercises
to a broad cross-section of products. They must often rely on best guesses.
There is, however,
another avenue to gain the necessary insights: buzz analytics, which reads
burgeoning signals from social media and can help companies in many industries
to identify and prioritize actions across broad product lines. Buzz analytics
captures consumer insights by mining the abundant and free information from
online conversations, such as comments about product features on company
websites and external platforms like Facebook and Twitter. It then assesses
these positive and negative sentiments and converts them into meaningful
metrics at the product-feature level. Companies can also run such analyses on
their competitors’ offerings to benchmark their strengths and weaknesses. While
not rigorously scientific, this is a rapid, cost-effective way of gathering
data and testing hypotheses that can guide product-design tactics and strategy.
Buzz analytics has many uses.
Companies can deploy it to develop insights on product features that could add
value and increase market share through better pricing or better marketing and
merchandizing options. It can also help them determine which features are less
important to consumers and thus suitable for elimination or modification to
optimize costs. In our experience, companies have successfully used buzz
analytics, over a year, across a broad range of product categories and SKU
variations. That’s helped these companies to nudge products to leadership
positions within their categories, to correct quality issues, to raise margins,
and to target marketing expenditures more effectively.
By Dave Fedewa, Guillermo Lopez Velarde, and
Brian O’Neill
http://www.mckinsey.com/business-functions/operations/our-insights/Using-buzz-analytics-to-gain-a-product-and-marketing-edge?cid=other-eml-alt-mkq-mck-oth-1605
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