2018 Promotion Optimization Institute
TPx Vendor Panorama (Fall 2018)
Distinction: POI Best-in-Class for HQ Analytics/Insight
Analytics: DV analytics
extend well beyond the scope of this
report into macro insights, shopper
loyalty dynamics, assortment
optimization, space management,
strategic pricing planning, new product
evaluation, and supply chain analytics.
In summary, the ability to pursue the
right promotional strategies. On the
planning side this means promotion
decomposition at the event level to
understand which promotional approaches
generate truly incremental results for
both manufacturer and retailer results
net of cannibalization and time
shifting. In particular we like how it
shows volume decomposition graphically,
side by side, for both trading partners.
It also provides understanding of brand
and package switching, and calculation
of pricing opportunities. The latter
shows graphically which products to
promote in a Strategic Pricing Matrix,
which is a really cool way of looking at
win/lose combinations for both the
manufacturer and retailer. Also
impressive is DV’s ability to index
product affinities and display them
graphically as a way of looking at
co-promotion and product mix
opportunities.
DV’s expertise in post event analytics
stems from its work with global
retailers on POS/Scan/ loyalty card
analytics. It is arguably one of the
most powerful analytical tools on the
market. They can then be planned and
monitored at the banner level. One
ongoing engagement for a very large
beverage company and a pair of very
large retailers involves monitoring
on-shelf availability with full root
cause analysis by store every day by 10
AM. This has also extended into the
ability to support promotions by
predicting when a specific SKU will run
out of inventory at a specific store 3-4
days in advance.
The new Analytics Dashboard is an
outstanding way of looking at the total
business and pulls together many
disparate elements from the previous
version. We also liked the new landing
page because it combines KPIs,
narrative, and links. Overall, we rate
it as Above Average.
Key differentiators:
DV’s depth of the analytics, combined
with the experience of seeing things
from the retailer side of loyalty card
and shopper analytics. This is a really
strong synergy and few competitors can
do things like manage 1.7 million SKUs
for a Japanese retailer for better
merchandising, shelving, and pricing
locally, let alone from halfway around
the world. In particular, where we see
depth on the TPx side is in volume
decomposition, whether at the plan or
individual level. Also, as it relates to
monitoring and predicting out of stocks,
which should be a part of any TPM
approach.
Thus, it is the insight on overall
strategy development and details on how
to execute a better promotion that
differentiates DV. Another
differentiator relative to promotion
execution is the ability to monitor
product at the SKU and store level in
near real time, or as often as the data
is available. We believe that capability
should be part of evert TPx deployment,
so that adjustments and collaboration
can be done in-flight instead of
registering that the promotion was not
executed per contract or had product
availability issues after the event was
over.
Source:
https://poinstitute.com/wp-content/uploads/2018/10/POITPxVendorPanorama2018-10012018.pdf