Tomi.ai is a company that specializes in leveraging predictive AI and first-party data to optimize marketing-driven revenue and improve customer acquisition costs (CAC) for high-ticket e-commerce and lead generation businesses. Their platform analyzes user behavior to predict buying propensity and lifetime value (LTV), feeding these insights back into ad platforms and CRMs to enhance targeting, optimization, and attribution strategies.
Industry: AdTech
Ideal Customer Profiles: Tomi.ai's ideal customers are businesses with narrow target audiences, such as B2B/SaaS companies, those targeting affluent customers, or businesses with large and variable transactions like EdTech and Banking. They also cater to companies with significant offline components or long sales cycles, such as real estate or automotive industries.
Website: tomi.ai
LinkedIn: http://linkedin.com/company/tomi-ai
Predictive Targeting allows businesses to create value-based audiences and upload them to advertising platforms, enhancing the efficiency of ad spend by focusing on high-value prospects.
Description: This feature enables the creation of audiences based on predicted value rather than simple demographics or past behavior, allowing for more precise targeting.
Benefit: Increases return on ad spend (ROAS) by focusing marketing efforts on high-value prospects.
Description: Identifies and targets new audience segments that are likely to convert, based on predictive analytics.
Benefit: Expands market reach and identifies untapped customer segments.
Description: Generates seed audiences for look-alike modeling, enhancing the ability to find similar high-value customers.
Benefit: Improves the efficiency of look-alike campaigns by using high-value seed data.
Description: Adjusts bids in real-time based on the predicted value of search ad interactions.
Benefit: Optimizes ad spend by increasing bids for high-value interactions and decreasing them for low-value ones.
Description: Switches from rule-based to value-based retargeting, focusing on users with high predicted value.
Benefit: Significantly increases ROAS by reducing spend on low-value prospects.
Predictive Optimization uses real-time predictive conversions to switch performance campaigns from cost-per-lead (CPL) to target return on ad spend (ROAS), optimizing customer acquisition costs.
Description: Utilizes real-time data to predict conversion events, allowing for dynamic adjustment of campaign strategies.
Benefit: Enhances campaign efficiency by aligning spend with predicted conversion value.
Description: Focuses on maximizing expected ROAS by targeting campaigns based on predicted economic value.
Benefit: Improves profitability by ensuring campaigns are aligned with financial goals.
Description: Integrates with major advertising platforms like LinkedIn, Google, and Meta to streamline campaign management.
Benefit: Provides flexibility and ease of use across different advertising channels.
Description: Enables the activation of new advertising formats and channels based on predictive insights.
Benefit: Expands marketing opportunities and adapts to changing market conditions.
Predictive Attribution provides insights into the true incremental value of each touchpoint in the customer journey, allowing for more informed media spend allocation.
Description: Analyzes the contribution of each marketing channel to changes in user behavior, providing a clearer picture of channel effectiveness.
Benefit: Enables more strategic allocation of marketing resources to high-performing channels.
Description: Provides near real-time insights into the value generated by each marketing campaign.
Benefit: Allows for quick adjustments to campaigns to maximize their effectiveness.
Description: Scores all website visitors, including anonymous ones, based on predicted value and likelihood to convert.
Benefit: Improves targeting precision by identifying high-value visitors early in the funnel.
Description: Guides the reallocation of media spend towards channels that generate demand, based on predictive insights.
Benefit: Increases marketing efficiency by focusing resources on the most impactful channels.
Predictive Lead Scoring provides a single source of truth on lead quality, helping sales teams prioritize high-potential leads and align marketing efforts with revenue goals.
Description: Delivers predictive lead scores to CRM systems within minutes of lead submission, enabling quick prioritization.
Benefit: Enhances sales efficiency by focusing efforts on the most promising leads.
Description: Provides a consistent measure of lead quality, bridging the gap between sales and marketing teams.
Benefit: Improves collaboration and alignment between sales and marketing departments.
Description: Assists sales teams in prioritizing leads based on predicted potential, increasing conversion rates.
Benefit: Boosts sales performance by ensuring focus on high-value opportunities.
Predictive Insights leverages first-party and behavioral data to provide accurate value-based scores for ad campaign optimization and forward-looking attribution.
Description: Calculates the probability of purchase and expected lifetime value for each website visitor in real-time.
Benefit: Enables more informed decision-making by providing actionable insights into visitor value.
Description: Utilizes a significantly larger volume of data compared to traditional analytics tools, enhancing predictive accuracy.
Benefit: Improves the precision of marketing strategies by leveraging comprehensive data sets.
"The team at Tomi takes full ownership of their work. The onboarding was easy and described (one of the few times a project timeline was kept!). This team knows what they are doing and has been an excellent resource for us – both from a human resource perspective but also as a tool in our digital marketing program."
Evan H., Digital Marketing Director at Insurance
Source: 2x marketing-driven revenue & LTV:CAC with Predictive AI & first-party data
"While we are still early in our Pilot program with the folks from Tomi, their level of support is second to none. They are a cross-functional team of experts who not only swiftly responds to our requests, but also continuously offers targeting advice to better optimize our various social campaigns and PPC tactics."
Clint D. at Insurance
Source: 2x marketing-driven revenue & LTV:CAC with Predictive AI & first-party data
"The team has been great in helping us connect all the right data to the project. While we are in the early stages of the relationship, I am confident we will be able to see the impact of using Tomi.ai to improve the effectiveness of our ad spend."
Jim N. C., Co-Founder at E-commerce
Source: 2x marketing-driven revenue & LTV:CAC with Predictive AI & first-party data
"Tomi.ai predicts the incremental impact on revenue of website visits from all sources, including organic, each touchpoint is scored. The accuracy of predictions is very high, when the cohorts matured we saw that the predicted revenue landed within a 20% margin of error from the actual revenue."
Maksym K., Chief Digital Marketing Officer at B2B SaaS
Source: 2x marketing-driven revenue & LTV:CAC with Predictive AI & first-party data
"I like the prediction analysis which is very accurate (both the lead scores and the visitor scores), and the product team deeply understood our business and listened to our inputs to tweak the model. The Customer Success team is very knowledgeable and proactive. Their expertise is instrumental in running the A/B tests and beyond."
Abdul Wajid S., Head - Performance Marketing at Education
Source: 2x marketing-driven revenue & LTV:CAC with Predictive AI & first-party data
"How fast the pilot project was launched and how fast we saw the results The vendor's team are true experts in paid acquisition and they went that extra mile to help us achieve extraordinary results"
Maria A., Marketing manager at Banking
Source: 2x marketing-driven revenue & LTV:CAC with Predictive AI & first-party data
Problem: High CAC and low quality of customers acquired online in non-brand search
Value Add: Tomi.ai implemented predictive targeting and optimization for non-brand search campaigns
Outcome: Achieved 24% reduction in CAC for cash loans and 45% reduction in CAC for credit cards
Source: 2x marketing-driven revenue & LTV:CAC with Predictive AI & first-party data
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