Case Studies
Hyper-target retail: grow local community business
Results
+22% incremental transactions (surpassing quarterly growth goals)
New Customers increased by +17% quarterly
Paid Search booking ROI up 120%.
Challenges
- Marketing lagged against competitors
- Majority of retail locations rely on walk-ins and revenue through word of month
- Brand didn’t have the internal know-how to market locally
Solutions
- Identify zip codes for each location that drive most of traffic and revenue with a surgical zoned approach
- Establish control vs. exposed panels to measure incremental sales
- Optimized across platform campaign including search and social
- Evolved national footprint reach plans to data educated
- Local focus: Atlanta market
Ecommerce: increase traffic and conversion
Results
Traffic increase by 225% (surpassing quarterly and YOY growth goals)
New Customers conversion increased by +60%
Average Order (AOV) increase by 18%.
Challenges
- Brand has relied on internal resources to manage limited digital ad budget
- Most traffic and new customers were generated of organic search and emails marketing
- Limited ability utilizing digital tools and technologies to grow the web presence
Solutions
- Rebuild Search campaigns by incorporating new keywords
- Creatives and call-to action
- Develop new campaigns on social and digital retargeting
- Open affiliate networks
- Establish test & learn in EM
- Women fashion specialty brand consideration and sales growth
Personalization: increase ctr and sales conversion
Results
+21% incremental CTR (when compared to the best creatives generated by the client)
+26% incremental sale conversions, basket size increased by 1.2 units
customer LTV increased 0.6 visits/ annually
Challenges
- Brand had limited creative resources and disconnected creative strategy from media
- Marketers decided what they need to sell not what the customers were likely to buy
Solutions
- Develop a recommendation engine to determine what consumers are likely to buy with +100 recommendations of 5 products per week
- Server produced 50 social ads per week
- Activate personalized ads
- Develop and create machine generated personalized ad units
Non-profit: reaching and engaging new to-brand audience
Results
14% increase reach to the brand (surpassing quarterly growth goals)
90% new visitors were exposed to website new content
donation conversion rates increased by 12%
Challenges
- Mission has been associated with older age audience in the USA
- Facing with decrease in activity among its traditional audience base
- Challenged with how to diversify and expand audience portfolio
- Global expansion has faced with local cultural differences
Solutions
- Conduct deep analyses of the brand web analytics and social pages while identifying growing audience segments of interest
- Leverage insights to develop a series of small segments based on platform specific targeting means
- Define the geographic areas with the highest concentration of new audiences
- Developed and optimized creative and targeting across search, social and the web landing pages
- Expanding mission specific donor base
B2B: acquire new business accounts
Results
4 out 8 markets were established
expansion to 3 new industry verticals
generated 27% lift in new leads
increase new business acquisition by 11%
Search + LinkedIn accounted for 65% of the leads.
Challenges
- Expanding geographically to new markets
- Focusing on specific companies' firmographics
- Reaching out to professionals in these markets and generate leads
- Quantify the business opportunity across several market options
Solutions
- Work with several key B2B data sources to size number of businesses in each market
- Ranked all markets and business types of scale and likelihood to convert
- Developed a test plan to validate or refute on the analytical insights
- Established control vs. exposed panels to measure incremental leads
- Developed and optimized across search and programmatic platforms
- Increase market-share in specific small and medium size industries
About Us
Mamon11 is a technology provider with over 20 years of experience specializing in AI agents, web and native application development, predictive modeling, audience segmentation, targeting solutions, and custom data integration. Our Audience11 platform is designed to help medium- to large-scale brands and marketing agencies collect, standardize, analyze, and activate audience and marketing data across digital platforms and business systems. By combining AI, data science, Mar-tech, and IoT technologies, the platform enables businesses to improve audience targeting, optimize marketing performance, integrate data across systems, enhance operational efficiency, and drive measurable revenue growth.
* A11 OS is Mamon11's proprietary software platform.
Our Credo
Audience11 is a team of martech developers, data engineers, scientists, and marketing analysts with 15+ years of experience in audience targeting, activation, optimization, and measurement. Our proprietary technology transforms audience and marketing data into enriched solutions that integrate seamlessly with advertising platforms, marketing tools, consumer apps, websites, and business systems.
Clients include medium to large brands across diverse industries that want to build their own internal marketing capabilities, as well as agencies.
Client Benefits:
1. Our products have generated over 25 percent higher yield, achieving revenue increases with lower operational costs.
2. We help scale marketing programs and expand financial impact.
3. Clients can add new business lines to their core operations.
Developers
We offer a wide range of custom integrations via non-public REST API protocol.
Ingest and push data from-to your legacy data systems:
- - Data Warehouse
- - CMS
- - CRM
- - Call Center
- - Ecommerce platform
Marketing: Email, Text, Push Notifications and Media Platforms such as Facebook, TTD, Google, Criteo and others
For more information contact us: Mamon11
FAQ
Q1: What is the projected ROAS on the investment?
Answer: We have measured a minimum of $3 or more in revenue for every $1 invested. Our solution includes ongoing measurement to track both ROAS and iROAS over time.
Q2: What factors are included in the AI models?
Answer: We generate three daily models: customers, visitors, and prospects. The models include the following behavioral factors: products, channels of purchase, marketing investments and exposure platforms, locations, seasonality, offers or discounts, and the velocity of digital and offline signals like transactions, visits, and engagements. We always start with small budget testing and scale once the model has been proven.
Q3: How do you identify and qualify prospects?
Answer: We source and qualify new prospects from multiple offline location and time sources (over 200 million) as well as digital sources. As with our other models, we begin with small budget testing and scale after measurement proves success.
Q4: What are the risks in participating in the Audience11 co-op?
Answer: Participation is optional and offered strictly on an opt-in basis. Each participant contributes to the co-op, but no participant can access another brand’s audiences. Audience11 selects audiences based on behavioral indicators, not demographics, and pushes them directly to the target platforms.
Q5: Can you provide the service outside of the US, and are you GDPR compliant?
Answer: Yes, our solution is applied globally and is compliant with both US CCPA and EU GDPR regulations.