OfferArchitect The new paradigm for digital offer testing

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OfferArchitect The new paradigm for digital offer testing 2016 RevTrax. All rights reserved. Products and services described herein are the proprietary and patent pending property of RevTrax. sales@revtrax.com www.revtrax.com 1.866.996.TRAX (8729)

A VERY COMPELLING BUSINESS PROPOSITION Improve brand sales, drive store traffic and leverage promotion budgets by optimizing digital promotional incentives. Introducing OfferArchitect, simply the best testing and optimization platform for Omnichannel promotions. Developed by RevTrax, the market leader in personalized digital promotions.

OfferArchitect blends the art and science of econometric in-store trade promotion activity with digital Behavioral Economics testing methodologies, the study of non-monetary psychological, social, cognitive and emotional factors on purchase decisions. OfferArchitect incorporates the most advanced digital research techniques including Hedonic Bundling, Message Framing, and Heuristic Learning. OfferArchitect operates on RevTrax s bestin-class digital incentive technology platform. Realize upwards of 25% more efficiencies on coupon offers.

Behavioral Economics and OfferArchitect MASTER THE ART & SCIENCE OF PROMOTION OPTIMIZATION. Trade Promotion Management (TPM) and Trade Promotion Optimization (TPO) software are mainstays of companies who recognize the importance of effective trade promotion management. Typically, these platforms employ traditional econometric regression analysis and rely only on historical results to draw conclusions for future actions. Although helpful, these software platforms fall short in overall accuracy given they ignore the often irrational and unpredictable behavior of the shopper. The data never lies is a core axiom amongst Data Scientists and Data Analysts, but the data will shift based on consumer actions. Dramatic behavioral changes can be triggered by making simple modifications to a photo, keyword, color, etc. on a coupon or banner, and the surrounding environment. A truly effective testing methodology will consider virtually all potential combinations of variables to identify the ideal offer for the specific target. With thousands of potential combinations, marketers are unable to deploy and analyze each potential offer variant with existing budgets, manpower limitations and time constraints. Applying Behavioral Economics principles to offer testing methodologies solves the problem.

Live production environment against a national audience KEY BENEFITS OfferArchitect methodology is ecosystem-inclusive, ingesting and analysing quantitative and qualitative input from target consumers to key stakeholders. oo Only OfferArchitect tests against national shopper audiences, across retailer types and formats, and across digital channels in a live production environment. Our competition is limited to testing a single offer, with a single retailer, on a single digital channel. oo Only OfferArchitect delivers hard-attribution metrics, linking the offline purchase transaction to the online shopper engagement, separating those intending to buy from those who actually bought. Our competition is limited to analyzing purchase intent by tracking coupon prints. oo Only OfferArchitect can provide enterprise-wide insights for all national and field marketing teams. Our competition is limited to local testing only with individual retailers. o o Only OfferArchitect incorporates banner advertisement and coupon offer combinations; no interest in the banner means they will never click through to view the coupon. Our competition can only test the coupon itself.

Real actionable insights OfferArchitect stories oo In a cross-category hedonistic offer bundle, the spillover affect of a $3.00 versus $1.50 anchor item offer was a 17% increase in control redemptions; given shoppers assumed all the offers had a higher face value. oo The inclusion of a newborn photo on a baby care product offer triggered an emotional response that increased the redemption rate at a large mass market retailer by 40%. oo For a health and beauty care product, framing the offer as $3.25 After Discount, versus $2.50 Off, generated a 130% increase in redemptions at a national drug store chain.

Practical applications for real business challenges. THE NEW PRODUCT LAUNCH Years of meticulous planning and development. Millions of dollars committed to product development, marketing and sales. Consumer research supports a breakthrough benefit. Success is contingent on generating trial purchase at national grocery chains. Promotion messaging and incentives are expected to eliminate all potential purchase barriers. THE HOLIDAY SHOPPING SEASON Competition is fierce and retailer deals are abundant. Driving foot traffic to popular high-margin categories is a proven strategy to generate sales and encourage impulse purchases in other categories, increasing the basket size. Promotion incentives for a single category item, bundled category purchases and both offers stacked together will be distributed. Success is predicated on the right balance between incentives to drive traffic, generate sales and optimize margin performance. In both scenarios, CPG manufacturer and Retailer, there is enormous pressure on the promotional incentive(s) to deliver against the sales objectives. Is everyone confident the offers will perform as planned? Have the incentives been optimized via proven testing methodologies, or are they simply someone s best guess?

A deeper understanding of real shopper behavior. BEHAVIORAL ECONOMICS AXIOMS Behavioral Economics principles are rapidly becoming adopted as a complement, or alternative, to econometric based regression theory. In short, Behavioral Economics studies the effects of psychological, social, cognitive and emotional factors on the economic decisions of individuals. The core premise is that shoppers are more compelled to make purchase decisions based upon subconscious, often irrational biases not only the price. SIMPLE HEURISTIC TECHNIQUES Heuristics are integral to Behavioral Economics based testing platforms. A heuristic technique, or simply a heuristic, is an approach to problem solving, learning or discovery that is based on experimentation, evaluation or trial-and-error methodologies. They are typically the mental shortcuts that ease the cognitive load of making a decision the rules of thumb, the intuitive judgments and the common sense. SMART HEDONIC BUNDLING An innovative, proven method for merchandising multiple products. A bundled promotion includes a second or third offer with the purchase of the first item, and the discount is only provided if all items are purchased together. The featured item is always more hedonically oriented, personally satisfying or self gratifying, versus the more utilitarian nature of the secondary offers. The underlying premise has profound shopper implications given it mitigates post purchase uncertainties with immediate term satisfaction. OFFER FRAMING PRINCIPLES Consumers exhibit dramatically different responses to an offer proposition depending on the stimuli. Shopper meaning is predicated on the entire context of the offer, not only the price discount the main topic. By changing or modifying the surrounding elements, the meaning of the main topic or context is also changed. For example, a salad kit promotion can be messaged as 2.00 Off or alternatively A healthy meal alternative for only $3.50, reflecting the final price after the discount.

LIVE ENVIRONMENTAL TESTING Multivariate and A/B testing is used to validate heuristic hypotheses or experiments. It is an iterative process performed to determine the best content combinations. Theoretically, multivariate testing can test the effectiveness of limitless combinations of variables, whether the focus is only the coupon or perhaps the coupon and banner together. The only practical limits are the time requirements to generate statistically significant test groups and the robustness of the underlying analytics capabilities of the testing platform. RevTrax tests in real time in a live production environment, and with a national audience. UNDERSTANDING PURCHASE FUNNEL BIASES Other relevant variables in the purchase funnel can be included in the experiments to obtain more accurate results the digital channel (upstream), the coupon offer (midstream) and the retail redemption (downstream). Creating the ideal coupon offer will certainly improve print and redemption rates, but if shopper biases prevent the click of a banner ad, then incentive will never be seen. Targeting banner ad and coupon offer variables can be tailored to optimize redemption at selected retailers. Behavioral biases might be influenced by the words, the images, the price, etc. For example, RevTrax experiments clearly demonstrate that free is an extremely compelling call-to-action, even when something really isn t free. Or, expectant mothers are more likely to respond to a diaper incentive if the corresponding image features a new mother coddling a baby instead of a simple product shot. For a display campaign, whose sole objective is to drive shoppers to a digital incentive, the variable elements on the banner ad can have a major impact on coupon views, prints and redemptions. The ideal solution is to consider both the creative impact of the banner in conjunction with the coupon itself to drive the redemption, a matrix of experiments.

Test and optimize intuitive ideas before full deployment OfferArchitect removes the guesswork from offer testing and optimization, yet encourages concept ideation from all interested parties including Promotions, Sales, Shopper and Field Marketing. Digitally test different offers amongst real shoppers on RevTrax s best-in-class incentive technology platform. Identify and deploy the best offer, or banner-offer combination, for a specific target segment. Track consumer behavior from the initial online engagement through the offline in-store redemption. Iterative Progressive Complete Tested Clear Absolute Looks about right to us It worked okay in the past Online data is probably enough It s our best guess scenario There are some grey areas We predict a solid response

OfferArchitect Methodology Generate promotional offer experiments based on common behavioral heuristics Apply statistically significant data science techniques and machine learning to identify the ideal test offers Test and validate against real shoppers across all digital platforms using online engagement and offline redemption data Employ an iterative and adaptive testing methodology that facilitates best offer identification Collaborate with manufacturers, retailers and clearinghouses to review which offer(s) generate the most appeal, create incremental lift and optimize return-on-investment Train, educate and engage Shopper, Promotion and Trade teams on process methodology, post-campaign performance, and concept development

OfferArchitect The new paradigm for digital offer testing Contact RevTrax for more information. sales@revtrax.com