Showing posts with label Analytics. Show all posts
Showing posts with label Analytics. Show all posts

Friday, January 3, 2014

Analyzing Shopper Behavior Gives Mondelez a Competitive Edge



Mondelez International is still rationalizing its brand and product portfolio after its 2012 separation from Kraft Foods. Witness the fact that Mondelez just agreed to sell a controlling interest in its SnackWell’s cookie and cracker brand to a private-equity firm. Also, Mondelez and its remaining bell-cow brands such as Nabisco are continuing to figure out the best ways to remain a global dominator in a snack market that provides challenges even as it grows disproportionately compared with other CPG staples.

Improving in-store marketing and merchandising will be crucial to realizing that goal. So Mondelez has set out to observe and analyze shopper behavior with the aim of raising consideration and purchase of Nabisco snacks in the supermarket. Their initiative relies on video and other gathered data of how shoppers behave in participating supermarkets and then integrates it with transactional, quantitative data supplied by the retailers.

“Our goal is to give our shoppers every opportunity to purchase our products, but do so in a way that is meaningful and aligns to shopper behavior,” Ameeta Jain, U.S. director of shopper insights and category management for Mondelez, told the annual meeting of the Category Management Association recently.

To that end, noted Priya Baboo, president of client solutions for VideoMining Corp., her firm’s “objective quantification of behavior helped [Mondelez] prove and disprove some of their hypotheses and helped them refine their shopper-marketing strategies based on a clear understanding of how people shop snacking categories in the U.S.,” including helping Mondelez to develop an understanding of “how things are the same or different” between American shoppers and those across the rest of the world.

VideoMining’s technology creates a “network” of cameras throughout the store, producing a “door-to-door, feet-on-the floor” tracking of each shopper, Baboo said. The network also captures every single one of the “do I buy or don’t I buy” moments, measures those moments in seconds, and then relates them to sales and conversion. 

Optimizing the growth opportunities available in global snacking was, of course, the main part of the rationale for splitting Kraft and a mature U.S. grocery-brands business away from Mondelez and its higher-potential portfolio of worldwide brands that range from Oreo to Ritz to Cadbury candies. In the U.S. market, for example, the growth rate for snack sales is about 5% -- more than double that for foods and beverages overall. And the potential to influence more purchases in crackers and cookies is palpable: 58% of snack purchases are unplanned when a shopper enters the store, according to research presented by Jain, compared with just 38% of other food categories.

Mondelez and VideoMining applied what they called a “5S” architecture to shopper behavior, describing a sort of funnel in which consumers first see, then scan, spot, show interest and select their ultimate purchases. The objective is to make sure that Nabisco and other brands are optimizing their products, advertising and merchandising at each level, Jain explained.

Thus: Is the category in a visible and relevant location so that consumers can “see” it? Then, is the category segmented in a way that is logical and easy to shop so that it can be spied as shoppers “scan” the store? When it comes time to “spot” particular items or brands, are they organized in a way that shoppers can find the one they want? To get shoppers to “show interest,” does the category have the right assortment for all shoppers? And to be “selected,” do the items have the right price, promotion and messaging to drive conversion?

At the upper levels of the funnel, for example, Jain and Baboo explained how Mondelez is trying to optimize the snacks category within the store in part by gaining placement in the most productive spots in the center aisles and by locating in-store advertising and promotions strategically. Jain observed that “everyone enters the store via the lobby and exits through the checkout” so Mondelez must “lever the real estate accordingly.” That could include, for instance, using the lobby to drive awareness of sales and seasonal promotions as shoppers begin their trip and the checkout to drive impulse purchases.

VideoMining research helped Mondelez understand how the supermarket is trafficked and the implications of that for the optimal location for snack and cookie brands. The back of the store is more likely to be trafficked earlier in a typical shopping trip, the front of the store later, Jain explained. That influences Mondelez’s efforts to “lever the perimeter to showcase categories that are more likely to be purchased earlier in the shopping trip, or center-store items that are complementary to the perimeter purchases,” Jain explained.

Baboo elaborated. “When people are near the beginning of their trip, they’re more open to messages and looking at impulse categories” such as cookies and crackers. That means “snacking categories may want to have a presence in the perimeter, or at least messaging or signage, to capture the attention of shoppers early.” 

Mondelez and VideoMining found that more shoppers are exposed to snacks by displays than shelves, 53% to 47%, and that promotion of the category is most effective in the lobby or the rear of the store.

Thus, Baboo said, if Mondelez “can stop the shopper with a message for Oreos or Ritz on the perimeter as they’re going to the dairy section, for instance, you’re more likely to be able to get them to walk into the cookie and cracker aisle because you communicated something that caught their attention and engaged them. But if signage is in the front of the store, shoppers are more likely to have completed their trip, and it’s less likely to be effective.”

Once shoppers move into center aisles, it’s also crucial to be in the most effective aisle. VideoMining’s recommends that Mondelez place its brands within the first six aisles in the typical store, where consumers move counter-clockwise around the store. “The first one-third of the store is where they need to be,” Baboo said. Jain observed that shoppers “have more disposable income early in their shopping trip and are therefore more likely to purchase discretionary and impulsive categories such as cookies and crackers” then. Thus, optimal adjacencies for snacks are complementary categories such as coffee and tea, and bottled juice, where more purchases are planned.

Within the cookie and cracker aisle itself, they said, a number of merchandising principles make Mondelez’s efforts most effective. One of them is to group cookies and crackers separately, categorized by manufacturer. Strong vertical blocks of brands and products are more effective than horizontal ones because shoppers use their peripheral vision, which moves side to side.

Bookending the aisle with each category’s highest-penetration and highest–awareness “signpost” brands, Oreo and Ritz, serves to draw shoppers into the aisle. Those brands are what Mondelez is counting on for much of the success of its overall business model. So making sure that they’re effectively getting in front of shoppers in the supermarket is a very important last step in a crucial strategy.

Shoppers tend to be active in the cookies and crackers aisle, especially with its Nabisco and other brands, if Mondelez can get them there. Now, with the help of some sophisticated technology, the global snacks giant can do a better job of delivering consumers to the right place in the store and getting them to spend more freely once they're there.

Wednesday, November 13, 2013

Nielsen Finds Loyalty Programs Resonate with Shoppers


Nearly 60% of global respondents said that loyalty programs were available where they shopped, and of those, 84% said they were more likely to visit those retailers, according to a new study by Nielsen.
“Retailers can reverse the impact of falling basket values and lower trip frequencies by better connecting with the unique needs of their shoppers,” Julie Currie, SVP global loyalty, Nielsen stated. “While the concept of loyalty is nothing new, we are seeing a significant surge in retailers — and particularly those in developing economies — investing in loyalty programs that give them valuable insight into how to better meet customer needs,” she said. “Savvy retailers are mining the data and looking for new and innovative ways to achieve the benefits most important to their customers.”
Nielsen found that, on average, more respondents claimed to be not loyal than completely loyal to brands, service providers and retailers. Most respondents said they were mostly loyal, or unlikely to switch brands or providers without significant incentives. Nielsen information shows that nearly one-quarter (24%) of global respondents claimed complete loyalty to mobile phone brands, mobile service providers and financial institutions, the highest percentages reported globally across the 16 categories measured. Global respondents reported the lowest levels of loyalty to food and beverage categories measured and online retailers. Approximately 40% of global consumers surveyed said they were not loyal and likely to switch brands in the alcoholic beverages (43%), snacks (39%), carbonated beverages (38%) and cereal (37%) categories. As many as 39% of global respondents said they were not loyal to online retailers.
“There is a strong link between the way consumers describe their loyalty habits and the way they subsequently buy — so even comparatively small shifts in what consumers say can manifest in big changes in what they do,” Currie saud. “While there is some consistency around the world in loyalty sentiment within categories and across retailers and service providers, there are also notable differences — especially for consumable products and in the online retailing space, where the likelihood to switch is greater," she said.
“In markets where loyalty programs are long established, customers tend to be savvy about copy-cat promotional offerings that don’t offer unique advantages,” Currie noted. “Particularly in developed loyalty markets, retailers and manufacturers need to work together to offer exclusive awards that cut through the clutter. New and innovative concepts, especially in the online space, that connect with how consumers want to shop are proving to be most effective.”
According to Nielsen’s survey, 75% of global respondents said that discounted or free products was the most valuable loyalty program benefit. As many as 41% of global respondents said getting a better price would encourage them to switch brands, service providers or retailers, followed by better quality (26%), a better service agreement (15%), better selection (10%) and better features (8%).
Enhanced customer service and free shipping incentives were important to 44% and 42% of global respondents, respectively.
Good customer service was important to more than half of respondents in Latin America (59%) and Asia-Pacific (53%). Exclusive deals (41%) and special shopping hours (36%) mattered most among loyalty program participants in Asia-Pacific. Free shipping incentives were important for 46% of North Americans.
North Americans surveyed reported higher levels of loyalty for financial service providers (29%) and carbonated beverages (23%), compared to other regions.
The Nielsen Global Survey of Loyalty Sentiment polled more than 29,000 Internet respondents in 58 countries to evaluate consumer views on loyalty levels across 16 categories including fast-moving consumer goods, technology products and retail establishments.
Authored by: November 13, 2013 | By Michael Johnsen
Originally posted on RetailingToday and can be viewed at: 

Thursday, October 31, 2013

Retailers Utilizing Data of Online Comments to Create Actionable Strategy (Deloitte CIO Journal)


Retailers ‘Listen’ to What Customers Are Typing

The latest generation of text understanding technologies translates consumer comments into actionable business intelligence.
Did you know that patients tend to refer to their physicians as “doctor” when they are happy with the care they have received, and as “he” or “she” when they are not? Or that a pricey bottle of wine often smells different to consumers than the same wine offered at a lower price?
These and other curious insights into consumer behavior were identified by a “text understanding” solution developed by researchers at the MIT Media Lab. This SaaS analytics technology, offered commercially by the Cambridge, Mass.-based startup Luminoso, gives computers the ability to understand human text communication the way people understand each other. It captures online consumer comments about companies and products and turns them into actionable business intelligence.
“This system can pull in chat, surveys, emails, and news articles and quickly offer insights into the opinions of those who wrote them,” says Catherine Havasi, Luminoso’s co-founder and CEO. “It can even understand allusion, metaphor, and the jargon of specific industries such as biotech or pharma.”
According to Marcus Shingles, a principal at Deloitte Consulting LLP, such solutions are the result of an ongoing effort by CPG companies and others to use technology to make sense of the avalanche of comments customers leave online. “Over the last few years we’ve seen numerous text analytics products enter the market that use word recognition and basic sentiment analysis capabilities to understand customer intent,” he says, while adding that “few have proven to be effective.”
Shingles says that the latest breed of text understanding solutions deploys artificial intelligence (AI), machine learning, and natural language processing capabilities that, when used in concert, can take text understanding to a whole new level. “Engineers and researchers are applying a more sophisticated, scientific approach to this challenge, which is what it needs,” he observes. “As a result, they are continually developing a more nuanced understanding of language and of the context in which it is used.”
Consumers Say…
According to Havasi, the Luminoso solution was born of her work with an ongoing research project at MIT Media Lab called the Open Mind Common Sense Initiative. In the mid-2000s, she and other researchers began building a database of simple English sentences, which a computer running text analytics software then analyzed to connect concepts and draw conclusions. The more data they fed into the system, the greater its understanding of vernacular, speech patterns, intonations, and other factors of common speech became. Simply put, Havasi and her colleagues taught AI how to make itself smarter.
“It can easily learn new things,” says Havasi of Luminoso’s technology. “It uses words it already knows to understand the context of the way new words and phrases are used, and then deduces their meaning in that context.”
The ability to understand customer sentiment more precisely and accurately—and to understand the myriad ways consumer demographic groups use language—can add value to product development, customer care, marketing, and strategic planning efforts. “There is a big opportunity for marketers in understanding the opinions, views, and preferences of customers,” says Shingles. “With that insight, they can develop empathy for consumers, and use that to inform marketing initiatives and product design.”
Moreover, the ability to automate certain data management tasks that have traditionally been laborious and expensive may transform the way companies approach consumer research. “A lot of people think there are large costs associated with building an ontology, and that they will have to write a lot of complicated rules,” says Havasi. “That’s not necessarily the case anymore. Text analytics has gotten a lot smarter and more agile than it was just a few years ago.”
Data Quality and a Measured Approach
Even with recent advancements in text analytics, the value of business insights is still heavily dependent on the customer data companies amass, says Havasi. “Many organizations have collected massive amounts of text data that do not reveal much about customer experiences with a product or service. This is low quality data, delivering few signals despite its volume.”
Havasi says that by focusing on certain data sources, companies may be able to unearth more valuable information. “Many companies are finding troves of valuable data on social media sites. People also share their personal experiences on custom blogs and in comments on YouTube. Twitter, with its character limitations, is not such a good source.”
One other thing, says Havasi: “Computers don’t understand sarcasm and snark. They are rarely expressed in the same way, which makes them look like noise to a computer.”
Beyond data quality, organizations deploying text understanding technologies may face internal challenges, such as how to ingest insights from this kind of analysis. “Many companies are deploying these tools, but they are delegating junior-level people in the organization to experiment with them,” observes Shingles. “Achieving the kind of business insights companies want is equal parts art and science. It requires experienced data analysts versed in the marketing science discipline to capitalize on this type of research. Moreover, companies should consider developing business use cases to guide their efforts. Text understanding initiatives might be more useful for some brands in a company’s portfolio than others.”
Havasi predicts that, in the near future, text understanding technologies will become more commonplace. “Expect advances in artificial intelligence that will support human interaction with cars, television sets, and computers,” she says. “It will continue to help companies listen to consumers, but it also will become a part of our everyday lives.”

Questions? Write to Deloitte CIO Journal Editor
This publication contains general information only and Deloitte LLP and its subsidiaries ("Deloitte") are not, by means of this publication, rendering accounting, business, financial, investment, legal, tax or other professional advice or services. This publication is not a substitute for such professional advice or services, nor should it be used as a basis for any decision or action that may affect your business. Before making any decision or taking any action that may affect your business, you should consult a qualified professional advisor. Deloitte shall not be responsible for any loss sustained by any person who relies on this publication. Copyright © 2013 Deloitte Development LLC.

Tuesday, October 22, 2013

Nielsen Partners With Credit-Check Giant Experian's Marketing Side


Online campaign ratings will parse demos even finer than before.
Ever gotten a credit report on yourself? If so, you probably used data mining company Experian to get the information. Now, the company will be providing specific consumer info to Nielsen for use in the latter's online campaign ratings (OCR), adding more measurements to Nielsen's data, which already includes info from Facebook. The partnership is with Experian's marketing side, Experian Marketing Services (their info is anonymized and uses a different data set from the credit report arm).
"Currently, Nielsen Online Campaign Ratings reports on the basis of age, gender and designated market area," the company said in a statement . "This effort will enable Nielsen to explore extending the solution to report campaign audience by additional demographic and lifestyle segments, such as estimated household income range, family size and education level."
Nielsen is currently locked in competition with analytics agency comScore, whose validated campaign essentials system has plenty of adherents among newer companies. TV networks frequently prefer the reliability that goes with the Nielsen brand, but as more pure digital market players choose VCE, Nielsen is obviously stepping up its game in order to attract a greater market share.
The program is in beta testing this fall, with a full release anticipated in 2014. “We are committed to bringing greater accountability to digital ad measurement, building upon the strong foundation of traditional demos as we respond to the industry’s need for television-like guarantees," said Megan Clarken, evp, global product leader for Nielsen.
Rarely has the industry shown a greater need for third-party measurement. Betweenquestionable traffic from sites that exist mostly on paper and outright fraud, reliable delivery guarantees are essential for a market without rampant inefficiencies. With the price of digital advertising so far below comparable content on television, the industry is trying to demonstrate to clients that its kinks are ironed out, and while companies like Nielsen can't afford to expand their panels much further without charging their clients yet more money, data gatherers like Acxiom and Experian are able to sell on their measurements while sustaining the cost of the panel infrastructure.

Article Written by Sam Thielman
Read More here: http://www.adweek.com/news/technology/nielsen-partners-credit-check-giant-experian-153279

Friday, October 11, 2013

CPG Survey Report: Children influence 80% of all grocery purchases


We’ve all seen children asking their parents to buy them something in a grocery store – some politely and others more persistently – or rejecting healthy options mom may like with a resounding “no.” But how much effect does their behavior really have on what goes into the cart? In the portion-pack beverage category, the answer is “quite a lot” according to research conducted by Tetra Pak.

Whether it’s a grade-schooler tugging on mom’s skirt or a toddler stretching and pointing from their perch in the grocery cart, kids tend to get what they want when it comes to beverages they’ll be expected to drink, says the research. And the numbers are impressive: interviews with nearly 500 shoppers show that almost 80 percent of all purchases are influenced by kid requests, and a full 55 percent of planned purchases are specifically made by such requests. And when children are along on the shopping trip – as they are about 60 percent of the time – they are more likely to not only express an opinion, but get their way. Only 20 percent of shoppers say their buying decisions have nothing to do with what their children want.

And kids today may be even more opinionated and persistent than their predecessors, market researchers say. Today’s American toddlers-to-teens are known as Gen Z, a demographic that includes 61.2 million youth 14-and-under, according to U.S. Census figures. While kids at the older end of this spectrum often buy their own beverages, parents make the choice for those at the other end. And as a whole, this is a “purposefully rebellious” generation of digital natives, whose sedentary pastimes have also marked them as the most unhealthy and overweight generation, according to The Intelligence Group’s “Cassandra Report: Gen Z.”

But savvy brand marketing can persuade moms – who decide what goes in the cart – while still appealing to kids by keeping these points in mind.

• Differentiate by flavor: After portability and convenience, flavor is the strongest consideration cited by shoppers in the children’s beverage aisle, named by 60 percent of survey respondents. With flavored waters for kids moving up in this category, including coconut water, kids are poised to be accepting of evermore-sophisticated offerings when it comes to taste.

• Add nutritional benefits: Nutrition is increasing in importance – now ranking just behind flavor in the decision-making matrix for children’s beverages with just about half of all moms scanning beverage labels. They tend to be looking for lower-sugar, vitamin-rich drinks.

• Explore novel shapes: Unusual shapes can help a package stand out in a crowded aisle. For instance, the Tetra Classic Aseptic has a highly unusual tetrahedron shape that has a proven track record in other countries as a magnet for children.

• Target your age market: What appeals to a toddler is very likely going to turn off a grade school or middle school child, so it is important to consider age when creating package designs. Segment, where possible, to capture maximum market share, or strive for a “sweet spot” with images or graphics that offer the widest appeal.

• Remember characters are key: Younger children in particular are drawn to packaging that features a character they can identify, as chronicled in a recent Yale research study published in the journal Pediatrics. Of course, movie and television characters appeal, but successful campaigns have been built around internally developed “brand icons” as well, such as Tony the Tiger and the emblem of Kellogg’s Frosted Flakes. More broadly, exciting graphics and intriguing shapes attract kids’ attention and stimulate their interest.

• Maximize the billboard effect: Shoppers spend on average 27 seconds making a decision in this aisle, according to our research, which makes shelf appeal incredibly important in capturing relatively disengaged consumers. Create packaging that offers a bold, consumer-facing billboard on the shelf.
All of these elements -- taste, nutrition and inspired packaging and design -- play into the purchase decision and each can be a powerful motivator for kids. Responsible manufacturers know their packaging can be a force for good to help moms help kids make the healthy choice.

Suley Muratoglu is VP, Marketing & Product Management at Tetra Pak Inc. U.S & Canada

Oct 09, 2013

Friday, September 27, 2013

Breakfast habits by the numbers (Hint: It isn't looking good for breakfast!)


Food Dive surveyed more than a thousand respondents using Google Consumer Surveys, asking each person one simple question: "How many days per week do you eat breakfast?"
Using Google's single-question format, which grabs responses from adult U.S. Internet users, we found some interesting results. Most notably, the survey showed that only 45.6% of the survey-takers eat breakfast seven days per week. The results also showed that the average respondent eats breakfast 4.5 days per week.
Food Dive breakfast survey
(Click to enlarge)

And there's more info where that came from. We didn't drill down into the habits of cronut vs. donut consumers or Count Chocula fans vs. Grape-Nuts lovers, but we did discover that gender, age and where someone lives can correspond with how likely they are to eat the most important meal of the day.
Insights from the survey included the following:
BY GENDER: Women were more likely to eat breakfast seven days per week than men, averaging 4.8 days in their responses, compared with an average answer of 4.3 days from men.
breakfast survey results by gender
(Click to enlarge)

BY AGE: Young respondents in the 18-24 age range averaged only 3.6 days per week, making them the least frequent breakfast eaters on the survey, while those 65 and older beat everyone else, averaging 5.1 days per week in their responses.
breakfast survey results by age
(Click to enlarge)

BY LOCATION: Urbanites outpaced both rural and suburban respondents, averaging 4.9 days per week. More than half of the urban responses (51.4%) indicated that they eat breakfast every day of the week.
breakfast survey results by location
(Click to enlarge)

OTHER HIGHLIGHTS: The survey turned up a handful of other insights as well. For instance, we found that respondents earning $25-49K per year tended to vary in response by age. We also saw more dramatic differences in urban-vs.-suburban responses in the South than in the Midwest.
breakfast survey results by location
(Click to enlarge)
 
[Editor's note: These results from Google Consumer Surveys are weighted by inferred gender, age and geography in order to make the sample more representative of the Internet population. The survey was conducted from Sept. 18-20 using a sample of the U.S. adult Internet population.]

Would you like to see more food and beverage industry news and information like this in your inbox on a daily basis? Subscribe to our Food Dive email newsletter! You may also want to check out Food Dive's look at the state of natural labeling.

Monday, August 26, 2013

Data Table: Supermarket Product Categories by Dollar, Unit Sales (2013 - 52 Weeks)

Data Table: Supermarket Categories by Dollar, Unit Sales

Below are the top supermarket product categories by dollar sales and unit sales for the 52 weeks ending June 16, 2013. 
Click arrows below to order by volume.
Source: Infoscan Reviews, Information Resources Inc., a Chicago-based market research firm.
Related Story: SN Category Guide




CATEGORIESDOLLAR SALESDOLLAR SALES % CHG YAGOUNIT SALESUNIT SALES % CHG YAGO
ADULT INCONTINENCE$266,785,6004.4828,518,2703.68
AIR FRESHENERS$522,999,2003.69211,414,7003.05
ALL OTHER BREAKFAST FOOD$96,566,020(0.85)18,172,110(1.46)
ALL OTHER SAUCES$776,019,6004.17342,249,4002.51
ALL OTHER TOBACCO PRODUCTS$37,943,110(8.54)6,081,212(13.53)
ANTI-SMOKING PRODUCTS$64,268,1404.312,076,19512.29
ASEPTIC JUICES$808,265,900(1.44)323,941,600(6.79)
ASIAN FOOD$463,727,6003.11213,556,2002.09
AUTOMOBILE FLUIDS/ANTIFREEZE$63,155,6501.2214,545,2101.17
AUTOMOBILE WAXES/POLISHES$22,024,0000.814,171,945(2.22)
BABY ACCESSORIES$144,623,400(1.26)29,369,390(5.73)
BABY FOOD$768,638,5002.21629,952,900(2.27)
BABY FORMULA/ELECTROLYTES$2,065,204,0000.81143,247,000(6.30)
BABY NEEDS$140,383,3000.1341,475,860(0.32)
BAKED BEANS/CANNED BREAD$499,813,000(3.71)323,419,600(5.84)
BAKED GOODS - RFG$258,308,0001.3280,048,780(0.69)
BAKERY SNACKS$1,115,768,000(2.73)540,650,300(4.00)
BAKING CUPS/PAPER$45,229,110(3.67)31,428,500(5.81)
BAKING MIXES$1,122,926,000(0.37)676,574,300(2.49)
BAKING NEEDS$1,270,343,0001.80522,176,400(0.34)
BAKING NUTS$572,974,8001.78117,667,500(1.46)
BARBEQUE SAUCE$422,993,600(0.95)226,350,900(1.68)
BATH PRODUCTS$30,849,4205.809,068,9271.33
BATH/BODY SCRUBBERS/MASSAGERS$30,147,3804.0615,076,54011.52
BATTERIES$570,124,7004.08101,981,900(0.49)
BEER/ALE/ALCOHOLIC CIDER$8,939,454,0003.381,017,212,0003.82
BLADES$534,922,2001.8365,091,0900.05
BLANK AUDIO/VIDEO MEDIA$6,212,267(33.61)752,368(32.40)
BLEACH$236,821,3000.01110,679,000(5.96)
BOTTLED JUICES - SS$3,248,494,000(4.32)1,380,672,000(3.66)
BOTTLED WATER$4,382,025,0004.102,269,249,0003.28
BOTTLES$61,232,10019.5016,394,7602.68
BREADCRUMBS/BATTERS$274,320,500(0.97)130,873,400(1.20)
BREAKFAST MEATS$3,458,482,0001.75926,164,7002.23
BREATH FRESHENER SPRAYS/DROPS$4,094,1005.281,325,86010.87
BUTTER$1,445,858,000(1.16)497,977,3003.58
CANDLES$329,561,3000.54140,122,900(1.22)
CANNED JUICES - SS$512,833,5005.58319,358,5009.99
CANNED/BOTTLED FRUIT$1,541,881,0002.47886,587,100(1.46)
CARBONATED BEVERAGES$11,372,450,000(2.38)5,104,436,000(2.51)
CAT FOOD$2,040,003,0000.161,409,728,000(2.89)
CAT/DOG LITTER$646,127,9002.91100,139,100(2.42)
CHARCOAL$369,378,500(3.19)57,451,800(6.00)
CHARCOAL LIGHTER FLUIDS$56,715,920(5.47)15,821,660(8.77)
CHEESECAKES$128,050,8003.1116,757,1301.07
CHILDRENS ART SUPPLIES$78,966,880(2.06)33,415,000(2.28)
CIGARETTES$3,955,191,000(5.12)540,145,300(3.33)
CIGARS$106,831,300(7.10)36,216,080(0.49)
CLEANING TOOLS/MOPS/BROOMS$456,948,900(0.29)82,670,740(3.28)
CLOTH DYE$5,354,847(10.56)1,786,900(11.40)
COCKTAIL MIXES$150,670,200(0.96)34,086,450(2.51)
COFFEE$4,308,703,0004.65656,740,5007.44
COFFEE CREAMER - SS$313,329,4002.7088,856,6903.44
COFFEE FILTERS$121,036,0000.9653,644,770(4.19)
COLD CEREAL$5,656,581,000(2.65)1,805,120,000(2.23)
COLD/ALLERGY/SINUS LIQUIDS$227,833,20015.2034,932,4107.97
COLD/ALLERGY/SINUS TABLETS$771,079,2006.7491,478,7603.21
COMPUTER DISKS FRMTD/UNFRMTD$103(92.02)36(91.56)
CONTRACEPTIVES$69,675,720(1.93)8,188,810(0.23)
COOKIES$3,940,665,0003.011,504,822,0003.02
COSMETIC - ACCESSORIES$67,108,3808.3717,849,6404.00
COSMETIC STORAGE$4,747,496(10.37)627,609(20.43)
COSMETICS - EYE$210,454,8002.8838,923,5302.41
COSMETICS - FACIAL$164,800,9004.0521,975,7703.05
COSMETICS - LIP$76,298,0600.2715,375,260(0.30)
COSMETICS - NAIL$152,353,3006.8647,716,9904.65
COTTAGE CHEESE$806,532,500(4.17)317,652,500(0.46)
COTTON BALLS/SWABS$106,350,4000.7247,533,3601.66
COUGH DROPS$171,398,7009.0288,005,7908.46
COUGH SYRUP$122,168,40015.4818,901,0009.45
CRACKERS$4,134,384,0002.761,568,923,0002.74
CREAM CHEESE/CR CHS SPREAD$989,951,600(3.09)480,499,6000.74
CREAMS/CREAMERS$1,989,679,0002.91729,608,7001.56
CROUTONS$160,490,900(0.33)107,014,100(0.26)
CUPS & PLATES$1,148,965,000(1.20)442,322,500(2.68)
DENTURE PRODUCTS$100,779,9000.5921,675,570(1.39)
DEODORANT$564,500,8001.03179,616,500(0.54)
DESSERT TOPPINGS$264,187,100(1.61)103,756,000(3.46)
DESSERTS - RFG$455,164,600(9.85)209,265,9000.23
DIAPERS$918,162,300(4.12)71,812,770(5.63)
DINNER SAUSAGE$2,048,212,0001.15564,373,5003.58
DIP/DIP MIXES - SS$318,360,2000.35121,909,600(0.43)
DISH DETERGENT$996,531,4002.68321,563,5002.20
DISPOSABLE TABLEWARE$171,448,100(0.24)108,088,5000.56
DOG FOOD$3,080,498,0000.83830,879,200(1.68)
DOUGH/BISCUIT DOUGH - RFG$1,319,005,000(0.07)642,261,2000.39
DRIED FRUIT$614,936,6001.31201,889,0000.10
DRIED MEAT SNACKS$271,097,9006.0481,064,9401.62
DRINK MIXES$601,498,8000.85693,059,300(4.14)
DRY BEANS/VEGETABLES$376,956,6006.51176,218,3000.88
DRY FRUIT SNACKS$452,436,7001.75219,145,6001.44
DRY PACKAGED DINNERS$1,255,384,000(2.05)803,133,100(3.29)
ELECTRONIC SMOKING DEVICES$7,656,091247.18665,004268.35
ENERGY DRINKS$1,009,598,0005.96394,566,1008.23
ENGLISH MUFFINS$515,852,4001.85201,946,300(0.43)
EVAPORATED/CONDENSED MILK$299,987,800(1.08)226,500,200(0.63)
EXTERNAL ANALGESIC RUBS$71,573,9004.5412,791,5704.78
EYE/CONTACT LENS CARE PRODUCT$323,158,6004.1844,212,6101.18
FABRIC SOFTENER LIQUID$349,798,700(1.66)79,973,710(1.85)
FABRIC SOFTENER SHEETS$207,116,3000.7955,899,580(1.51)
FACIAL TISSUE$626,796,5000.20355,089,300(0.62)
FAMILY PLANNING$48,692,3600.564,840,1902.45
FEMININE NEEDS$117,406,2002.2020,763,6406.12
FIRELOG/FIRESTARTER/FIREWOOD$159,719,2009.3324,666,0007.23
FIRST AID ACCESSORIES$210,827,7000.5162,683,600(0.34)
FIRST AID TREATMENT$227,181,3002.8763,828,7801.82
FLASHLIGHTS$16,355,230(3.05)2,546,627(5.76)
FLOOR CLEANERS/WAX REMOVERS$62,438,8601.4211,301,300(2.67)
FLOUR/MEAL$685,998,5001.42257,238,500(0.86)
FOIL PANS$247,692,7000.54100,569,2002.61
FOILS & WRAPS$516,864,600(2.09)179,229,300(3.24)
FOOD & TRASH BAGS$1,470,717,000(0.95)427,998,100(1.15)
FOOT CARE PRODUCTS$131,094,700(1.59)22,361,270(2.40)
FRAGRANCES - WOMEN'S$45,553,600(4.16)7,670,341(4.97)
FRANKFURTERS$1,688,909,000(2.19)666,662,100(2.49)
FRESH BREAD & ROLLS$9,334,361,000(2.07)4,074,785,000(2.11)
FROSTING$280,155,200(6.19)145,094,200(3.85)
FRT & VEG PRESERVATIVE/PECTIN$32,364,890(7.54)10,635,780(11.03)
FURNITURE POLISH$58,479,600(6.00)14,787,430(7.36)
FZ / RFG POULTRY$2,303,802,00010.61401,623,2005.18
FZ APPETIZERS/SNACK ROLLS$945,437,800(1.10)262,083,100(1.42)
FZ BABY FOOD$624,761(43.97)145,847(51.54)
FZ BREAD/FZ DOUGH$723,353,7000.53249,368,200(0.60)
FZ BREAKFAST FOOD$1,690,455,0003.65564,776,7001.93
FZ COFFEE CREAMER$2,713,139(24.77)1,262,557(24.93)
FZ COOKIES$435,9273.4374,110(6.06)
FZ CORN ON THE COB$98,745,660(6.23)30,791,430(11.38)
FZ DESSERTS/TOPPING$489,785,900(2.31)212,792,700(2.94)
FZ DINNERS/ENTREES$5,464,809,000(4.47)2,099,476,000(4.51)
FZ FRUIT$452,178,30014.41115,567,5009.07
FZ MEAT$1,458,056,0004.42344,359,2004.88
FZ NOVELTIES$2,690,700,000(2.29)851,863,700(3.97)
FZ PASTA$268,014,500(1.42)89,560,750(3.72)
FZ PIES$500,808,3002.46137,802,6001.40
FZ PIZZA$2,801,740,000(2.45)906,395,300(0.68)
FZ PLAIN VEGETABLES$1,792,176,0000.261,057,198,0000.62
FZ POT PIES$305,012,0006.45185,111,3000.65
FZ POTATOES/ONIONS$1,047,614,000(0.84)379,386,0001.83
FZ PREPARED VEGETABLES$239,442,500(6.78)125,420,300(4.93)
FZ SEAFOOD$2,362,931,0002.24333,033,0000.38
FZ SIDE DISHES$233,391,7001.4195,761,7004.60
GASTROINTESTINAL - LIQUID$195,195,200(6.30)32,970,590(4.87)
GASTROINTESTINAL - TABLETS$641,440,300(0.96)90,240,040(0.97)
GELATIN/PUDDING PRD AND MIXES$505,022,700(2.80)484,024,400(2.25)
GLAZED FRUIT$10,703,740(1.08)3,039,703(4.50)
GLOVES$72,903,5906.3626,159,7201.24
GRAVY/SAUCE MIXES$846,088,2000.40755,770,3001.08
GUM$714,480,600(6.09)489,579,100(7.35)
HAIR ACCESSORIES$143,258,2000.9249,136,500(2.24)
HAIR COLORING$282,718,500(1.11)41,876,820(0.46)
HAIR CONDITIONER$392,522,0003.39102,764,000(0.71)
HAIR GROWTH PRODUCTS$10,092,130(1.29)355,968(1.04)
HAIR SPRAY/SPRITZ$153,690,100(2.04)39,722,280(3.37)
HAIR STYLING GEL/MOUSSE$197,344,800(1.16)41,799,620(4.65)
HAND & BODY LOTION$294,457,3005.6655,907,2804.00
HOME HEALTH CARE/KITS$34,159,1502.902,453,177(2.54)
HOME PERMANENT/RELAXER KITS$6,611,546(6.81)1,077,355(4.52)
HOT CEREAL$804,468,7003.30291,017,0004.65
HOUSEHOLD CLEANER$997,257,800(1.53)317,965,100(3.46)
HOUSEHOLD CLEANER CLOTHS$158,824,8003.7044,172,6000.85
HOUSEHOLD LUBRICANTS$5,432,3467.251,216,6610.98
HOUSEHOLD PLASTICS$27,352,380(0.93)4,279,511(2.42)
ICE CREAM CONES/MIXES$83,666,060(0.00)42,108,380(1.51)
ICE CREAM/SHERBET$4,256,452,0000.361,194,494,0002.15
INSTANT POTATOES$304,191,100(1.55)214,041,4001.55
INTERNAL ANALGESICS$803,422,100(0.32)148,954,000(1.28)
JELLIES/JAMS/HONEY$947,364,5002.11287,516,300(0.63)
JUICE/DRINK CONCENTRATE - SS$12,175,04022.292,782,6186.58
JUICES - FROZEN$281,756,700(11.44)149,971,500(12.31)
KITCHEN STORAGE$297,325,800(2.09)78,295,740(2.91)
LARD$4,117,6716.971,021,8628.66
LAUNDRY CARE$322,235,3000.8170,334,620(2.73)
LAUNDRY DETERGENT$2,324,113,000(4.56)362,249,200(5.07)
LIGHT BULBS$272,397,500(1.81)79,031,360(6.94)
LIGHTERS$78,403,7202.8429,925,5800.73
LUNCHEON MEATS$3,407,567,000(2.63)1,133,149,000(1.88)
LUNCHES - RFG$801,553,2002.87388,648,4004.24
MARGARINE/SPREADS/BUTTER BLEN$1,258,409,000(7.96)557,943,900(6.86)
MARSHMALLOWS$134,653,000(0.85)91,612,610(0.82)
MAYONNAISE$1,236,175,000(4.59)354,618,400(3.85)
MEAT PIES$21,066,360(0.75)3,724,692(2.35)
MEXICAN FOODS$1,699,297,0001.81806,995,8000.79
MEXICAN SAUCE$1,011,285,0001.18384,365,4000.67
MILK$10,534,380,000(2.51)3,588,690,000(2.10)
MILK FLAVORING/COCOA MIXES$294,767,4001.24107,003,100(0.67)
MISC HEALTH REMEDIES$263,983,6005.9272,461,8903.81
MISC HEALTH REMEDY TABLETS$13,474,0604.553,026,7065.10
MISC. SNACKS$416,323,50013.89122,249,40010.94
MOIST TOWELETTES$353,066,400(0.29)113,112,3001.52
MOTOR OIL$60,210,4801.9912,442,080(1.91)
MOUTHWASH$328,621,1000.9676,019,5000.60
MULTI TASK SHEETS (SOLUT$-(100.00)-(100.00)
MUSTARD & KETCHUP$756,643,100(2.03)395,161,300(2.28)
NASAL PRODUCTS$130,141,200(4.76)22,132,230(1.05)
NATURAL CHEESE$8,072,374,0001.582,498,628,0002.87
NON-FRUIT DRINKS - SS$355,953,9007.38162,870,9008.73
OFFICE PRODUCTS$130,318,8003.1848,356,480(0.02)
OTHER FROZEN FOODS$79,247,3900.1423,732,610(2.85)
OTHER GROOMING SUPPLIES$43,642,7308.795,442,6415.97
OTHER RFG PRODUCTS$338,357,3008.00101,067,8009.52
OUTDOOR/LAWN FRTLZR/WDKLLR$36,892,010(4.36)4,235,612(11.49)
PANCAKE MIXES$238,519,2004.4495,184,4402.65
PANTYHOSE/NYLONS$40,994,800(9.30)11,730,350(9.97)
PAPER NAPKINS$324,693,600(4.68)158,360,200(4.56)
PAPER TOWELS$1,873,714,000(0.91)495,248,400(2.65)
PASTA$1,604,969,000(1.59)1,180,136,0000.72
PASTA - RFG$230,966,6001.4453,298,1401.28
PASTRY/DOUGHNUTS$1,652,091,0000.02608,297,900(1.46)
PEANUT BUTTER$1,234,050,00010.58336,639,5004.61
PERSONAL THERMOMETERS$16,768,50013.042,065,1696.61
PEST CONTROL$249,972,100(2.68)55,517,950(2.40)
PET SUPPLIES$743,989,2006.05145,332,3000.78
PHOTOGRAPHY SUPPLIES$10,214,790(32.41)1,335,649(35.67)
PICKLES/RELISH - RFG$171,567,400(0.35)48,550,140(1.59)
PICKLES/RELISH/OLIVES$1,513,506,000(0.77)695,805,500(1.60)
PIES & CAKES$993,936,8001.68179,615,5001.53
PIZZA - RFG$229,789,100(4.73)61,445,150(2.52)
PIZZA PRODUCTS$98,653,8502.3358,925,9601.48
PLAYING CARDS$12,644,940(4.85)3,814,444(6.90)
POOL/SPA CHEMICALS$29,659,690(5.27)3,719,051(6.42)
POPCORN/POPCORN OIL$601,321,900(0.32)222,870,500(4.43)
POWDERED MILK$49,449,520(1.19)6,998,5412.26
PREMIXED COCKTAILS/COOLERS$227,291,000(0.87)49,551,06013.74
PROCESSED CHEESE$2,002,776,000(5.21)609,418,800(5.38)
PROCESSED FZ / RFG POULTRY$1,869,169,00010.47361,363,2008.34
PRODUCE RINSE$3,543,026(3.25)648,367(4.44)
RAZORS$68,323,480(10.14)7,616,576(11.53)
RFG DIPS$475,575,3001.69176,860,9001.57
RFG ENTREES$866,338,4004.06174,908,5004.31
RFG FRESH EGGS$3,543,659,0003.701,518,151,000(1.16)
RFG JUICES/DRINKS$4,305,073,0002.321,474,728,0001.32
RFG MEAT$1,191,216,00013.10198,515,9009.64
RFG SALAD/COLESLAW$3,009,059,0004.921,110,447,0003.57
RFG SIDE DISHES$1,514,596,0004.94426,936,400(0.10)
RFG TEAS/COFFEE$577,686,20020.74254,211,10015.17
RFG TORTLLA/EGGRLL/WONTN WRAP$114,105,900(2.38)53,715,270(5.08)
RFG WHIPPED TOPPINGS$479,190,7000.92173,341,5001.49
RICE$1,435,979,000(0.26)667,513,700(1.33)
RICE/POPCORN CAKES$149,181,000(5.51)71,178,580(6.68)
RUG/UPHOLSTERY/FABRIC TREATMT$200,351,700(8.43)38,601,200(9.68)
SALAD DRESSING - RFG$275,724,4005.3978,889,1105.42
SALAD DRESSINGS - SS$1,440,802,000(1.88)594,427,800(1.69)
SALAD TOPPINGS$289,125,700(0.84)112,923,300(0.50)
SALTY SNACKS$8,980,026,0002.683,632,419,0001.69
SANITARY NAPKINS/TAMPONS$625,672,400(1.20)145,710,500(1.82)
SEAFOOD - RFG$378,822,3002.8472,971,4900.18
SEAFOOD -SS$1,461,766,0001.01846,169,500(6.16)
SHAMPOO$628,688,1000.66174,795,100(2.90)
SHAVING CREAM$117,428,1000.1649,773,050(2.69)
SHAVING LOTION/MENS FRAGRANCE$83,313,730(1.05)16,086,970(1.84)
SHOE POLISH & ACCESSORIES$30,830,630(1.18)8,594,342(3.39)
SHORTENING & OIL$2,133,971,000(1.01)467,438,500(0.83)
SKIN CARE$513,048,2000.7071,034,0800.87
SLEEPING REMEDIES$103,319,20058.6626,590,83074.77
SMOKELESS TOBACCO$256,651,200(0.47)56,407,620(1.85)
SMOKING ACCESSORIES$14,366,3407.707,276,5552.88
SNACK BARS/GRANOLA BARS$2,289,985,0003.01991,330,4005.64
SNACK NUTS/SEEDS/CORN NUTS$1,802,821,0007.10500,269,9002.15
SOAP$1,083,678,0001.52362,754,9001.32
SOAP DISHES$2,591,3007.55962,8748.11
SOCKS$91,408,4400.5918,538,170(4.26)
SOUP$3,839,508,0002.162,930,038,000(0.98)
SOUR CREAM$793,991,000(3.02)436,049,8000.37
SPAGHETTI/ITALIAN SAUCE$1,550,593,000(1.25)723,277,400(1.47)
SPECIALTY NUT BUTTER$206,811,60030.5042,033,62024.38
SPICES/SEASONINGS$2,123,743,0004.57825,894,7002.80
SPIRITS/LIQUOR$2,864,917,00013.77190,303,30012.77
SPONGES & SCOURING PADS$230,475,800(2.80)96,991,990(3.82)
SPORTS DRINKS$1,637,000,0002.051,083,372,000(0.00)
SPREADS - RFG$569,310,60010.57164,680,80010.44
SS DINNERS$1,246,787,0000.27864,184,400(1.23)
SS EGG SUBSTITUTES$2,439,18419.57445,32737.16
SS MEAT & RFG HAM$1,093,633,0007.91454,620,4002.69
STEAK/WORCESTERSHIRE SAUCE$216,768,900(5.12)73,023,270(3.93)
STUFFING MIXES$198,016,400(5.29)109,290,200(2.20)
SUGAR$1,209,024,000(2.57)478,286,0000.29
SUGAR SUBSTITUTES$369,801,900(2.73)86,071,370(3.16)
SUNTAN PRODUCTS$187,759,100(6.08)23,431,400(6.10)
SYRUP/MOLASSES$558,925,5000.68163,757,800(1.09)
TEA - BAGS/LOOSE$768,546,6005.26237,670,5002.99
TEA - INSTANT TEA MIXES$240,203,000(2.01)70,661,3600.67
TEA/COFFEE READY-TO-DRINK$1,272,572,0000.02544,128,0002.52
TIGHTS$16,443,08099.592,738,57076.83
TOASTER PASTRIES/TARTS$426,212,200(1.89)187,501,800(1.49)
TOILET TISSUE$3,083,407,000(0.90)582,285,100(3.32)
TOMATO PRODUCTS$1,044,495,0000.281,093,714,000(0.31)
TOOTHBRUSH HOLDERS$2,840,15318.161,324,9564.12
TOOTHBRUSH/DENTAL ACCESORIES$432,177,9001.79138,474,7001.12
TOOTHPASTE$720,263,700(0.29)250,269,000(1.65)
TOTAL CHOCOLATE CANDY$3,290,442,0003.721,717,252,000(0.90)
TOTAL NON-CHOCOLATE CANDY$1,519,080,0003.89936,378,9001.06
VACUUM BAGS/BELTS$7,615,797(14.84)1,486,231(22.35)
VEGETABLES$2,347,880,0001.652,261,356,0001.54
VINEGAR$323,647,8003.80128,910,2002.22
VITAMINS$1,208,660,0006.89154,111,1006.90
WATER FILTERS/DEVICES$61,296,540(0.44)4,225,104(0.19)
WATER SOFTENERS/TREATMENT$66,940,090(4.46)12,518,310(3.44)
WEIGHT CON/NUTRITION LIQ/PWD$871,078,0006.25112,920,4001.61
WEIGHT CONTROL CANDY/TABLETS$45,600,9007.852,974,2176.46
WINE$6,614,757,0004.24730,940,3001.82
WRITING INSTRUMENTS$74,143,7200.5032,365,790(0.66)
YOGURT$4,778,751,0004.983,832,680,0001.09


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