1. Introducing SetSight Store
Level Analysis Tool
Best Practices for leveraging store level
data for driving insights
2. What If You Actually Spent Time on Analysis:
• How would you like to save hours each week pulling
and compiling data?
• How would you like to deliver extraordinary insights in
seconds?
• How would you like to understand your business
down to the store level if needed?
• How would you like to see your data sliced and
diced with unlimited store and item attributes for
meaningful findings
o STORE EXAMPLES: Hispanic, Affluence, Distance to Competition, Custom
Store Groupings
o ITEM EXAMPLES: Flavor, Size, Pack Type, Color, Material,
3. What If You Knew In the Matter of Minutes:
• What are my top selling stores?
o What stores are showing critical levels of Instock %?
o What DC services these stores? How much inventory is in each DC?
• What are my sales like by brand/item when a retailer is
located <1.0 mile from my competition?
o How many stores are affected?
o What should my assortment be at these stores?
• How do my items sell by retailer format?
• How is Affluence important to my customers?
• How does Ethnicity impact my assortment?
• Do Rural stores need different assortments than Suburban
stores?
• Do my Solid items outperform by Patterns? By what %?
• What Markets sell best for Brand A? Brand B?
o How many stores are in each market?
o How many of my competitor’s stores are there?
4. What If You Had Access to Unlimited Metrics and
Store and Item Level Attributes?
$ Per Store EOH $ Store Level
Units Per Store EOH Units Divisions
% of Tot Items Instock % Regions
% of Tot Stores Out of Stock % Markets
% Store Penetration Below Min Custom Store Lists
% of Tot $ Sold Retail Price 3rd Party Segmentations
% of Tot Units Sold Sales $ Index (Spectra)
Ad $ Sales Unit Index Affluence Stores
Ad Units Sales Volume Index Hispanic Stores
Reg $ Sku Active Multi Cultural Stores
Reg Units Store Count Lifestages
Clearance $ Store Penetration Distance To Competition
Clearnace Units Total $ Sold
Discontinued $ Total Units Sold
Discontinued Units
ESV $
ESV Units
5. SetSight Store Level Analysis
• Using our Slice and Dice Technology, complex insights are easily
cultivated.
6. SetSight Store Level Analysis
• Very easily, data can be Segmented and Attributed
for meaningful insights
• Brand E Sells the most dollars
in:
• Low Young Singles
• Low Empty Nesters
• Low Mom and Tweens
• The competition has 72% of
their stores located <5 miles
from these three segments.
• Brand E needs to increase
sku count within these stores
improve In Stocks to make
sure sales are not lost to the
competition.
* All Data is Fictitious
7. Drill Into Insights In Seconds
• How does my brand sell based on
distance to my competitor?
• How many stores should I be
concerned about?
• Layer on as many levels of details as
needed for reference and analysis.
• Which stores are actually located within
a certain distance of a retailer?
* All Data is Fictitious
8. Location Based Insights
• What types of stores do I sell best at?
• Which markets are important to focus on?
* All Data is Fictitious