Display Guru
We increase revenue at the consumers point of purchase with our unique Digital AI Merchandising platform
Customer Data Journey
- 1. Data Collection
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2. Data Insights
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3. External Data
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4. Prediction
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5. Automation
IOB digitally transforms physical spaces to help store owners understand and influence consumer behavior. The Data Collection phase focuses on real-time consumer engagement measurement. Whether it’s a digital screen in a QSR or a retail shelf, IOB uses its proprietary hardware and data technology to digitally transform these spaces.
Digital Screen in QSR
Retail Shelf
IOB deploys discrete hardware within the physical space to serve as its sensory system for comprehending consumer engagement.
Thereafter, IOB utilizes AI to “annotate” and define the space by adding labels to a dataset representing that space. This procedure enhances and trains machine learning algorithms, which are employed for future predictions and data-driven decision-making.
Annotations and labels describe the physical space, providing contextual information. Every label and annotation applied to a dataset should be aligned to a specific Campaign Goal, like increasing a promotional item’s revenue by 5%. IOB then converts engagement data into a Campaign Score, a key metric in the first phase.
Campaign Objectives
Campaign goals we want to achieve:
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Our goal is to encourage and propegate a high margin impulse buy. | |
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To sucessfully capture the consumers attention for period greater than 4 seconds. | |
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Our Campaign target is to reach all Genders. | |
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We aim to capture the audience of 18 to 30yrs old geographics | |
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To invoke positive emotions in at least 75% of consumers |
Campaign Weighting
Target Campaign Performance
Campaign Goal
Target Score Vs Current Score
Campaign Score
Target Campaign Performance
Real-time A/B testing can be performed using the Campaign Manager, which delivers content to individual displays across multiple store locations. By comparing different campaign variations, you can assess their effectiveness in achieving the campaign goal, measured by a Net Campaign Score (NCS).
Campaign 1
Campaign 2
Campaign 3
Control A
Variation B1
Price Increase
Variation B2
New Creative
Consumer and Store Data
| Goal | Adjust | Weighting | Store 1: Score | Store 2: Score | Store 3: Score | Store 4: Score |
|---|---|---|---|---|---|---|
| Attention Time | >4 s | 60% | 43 | 33 | 13 | 16 |
| Gender | Male | 0% | 0 | 0 | 0 | 0 |
| Age | 25-30 | 5% | 10 | 10 | 20 | 10 |
| Emotion | <75% | 15% | 30 | 50 | 45 | 10 |
| Repeat Visitors | >25% | 10% | 10 | 40 | 35 | 10 |
External data offers deeper insights into consumer behavior. It includes various data sources that have the potential to impact behavior at a micro level, including relevant store owner data.
Weather
Temperature
Rain
Snow
Humidity
Local Events
Live TV Events
Sports Games
Concerts
Festivals
Public Holidays
School Holidays
Traffic
Peak Times
Abnormal congestion
Population
Density
Age breakdown
Income
Household Income
Disposable Income
Store Turnover
Social Media
Campaign tracking
Sentiment / Mentions
Weather
45 degrees
Rain
Humidity 80%
Local Events
Live TV Events
Sports Games
Concerts
Festivals
Public Holidays
School Holidays
Traffic
Peak Times
Abnormal congestion
Population
Density
Age breakdown
Income
Household Income
Disposable Income
Store Turnover
Social Media
Campaign tracking
Sentiment / Mentions
Weather
96 degrees
Humidity 10%
Local Events
Live TV Events
Sports Games
Concerts
Festivals
Public Holidays
School Holidays
Traffic
Peak Times
Abnormal congestion
Population
Density
Age breakdown
Income
Household Income
Disposable Income
Store Turnover
Social Media
Campaign tracking
Sentiment / Mentions
AI Content Optimization
Control Data – Product X Burger Meal
Average Attention Time
3 seconds
Average Age & Demographic
18-30 (65%), Male (34%)
Emotion
63% positive
External Data
Disposable Income, Weather
Ad Meta Data
Visual Placement Tracking: Size, Header, Imagery Tags, Sub Text, Style
Selling Recipe
Headline
Rewrite a better headline for “Mega Chicken” Man up!
Tone: Selling
Body text
Rewrite this into better copy: The new Mega Chicken is crumbed chicken, cheese, mushroom, roll
Tone: Excitement
Marketing Recipe
Marketing Angle
Revise campaign content that will increase the Attention Time by 5 seconds
Tone: Selling
Product X Burger Meal Display Ad
Mega
Chicken
Man up!
Automation
IOB ‘vectorizes’ consumers categorizing them into Profile Tags according to their age, gender, and location. Artificial intelligence is used to ascertain real-time content recommendations for these consumers. Store Marketers have the capability to access AI campaign recommendations and implement modifications through the Campaign Manager. An rules-based engine determines which content to present to the consumer based on the Profile Tag that they fit in.
Campaign: Atlanta Football
Profile Tag: 43
Male
18 - 25
Atlanta
External Data
Saturday
18:00 - 20:00
Post Football
#FalconFood
Peachtree: not busy
Weather good
