AMP+ Activate

Marketer-centric tools to drive more value out of your data than you every thought possible

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Marketers don't lack data. They lack data readiness.
AMP+ Activate changes that.

This is where the magic happens.

AMP+ ACTIVATE

WHAT IT IS

Integrated audience management tools for accelerated analytics and activation.

WHAT IT DOES

Data discovery
Segmentation and modeling
Reporting and measurement
Audience activation
Seamless accessibility in one environment
Integrated omnichannel deployment.

WHY IT MATTERS

Puts you in the driver’s seat
Analyze, target, and activate audiences across all channels
No need for a staff of data scientists and IT professionals

Why Choose AMP+

The integrated audience management tools of AMP+ Activate analyze, segment, and activate audiences across every channel. Think of it as a targeting engine with automated discovery, built to move at the speed you need. This results in novel insights like net-new audiences, intent signals, and actionable targeting intelligence allowing you to activate immediately across all your channels.

How AMP+ Activate Helps You Win

Uncover high-intent audiences you didn’t know existed. AMP+ Activate compliments your current martech by connect data across all your marketing channels – from direct mail and SMS to programmatic and paid social. And you don’t have to guess what’s working. You’re able to move beyond vanity metrics, like impressions and clicks, to what actually drives growth – that’s revenue, conversions, lifetime value. …..AND, equally important, no more having to buy an entire data set or multiple data sets, that you only use a portion of. With Allant, you only pay for the data you use.

WHAT'S IN IT FOR YOU

Find and activate net-new audiences

Optimize spend with true omnichannel intelligence

Discover hidden opportunities

Measure what actually drives business growth

Reduce the cost of reaching your audience

Smarter Acquisition, Engagement, Retention, and Growth

Allant’s AMP+ Activate empowers marketers to acquire, engage, retain, and grow customers through precision, speed, and intelligence. In acquisition, predictive modeling within AMP+ doesn’t just find the right audience, it forecasts outcomes and uncovers new, high-value segments that expand your addressable market. As engagement begins, AMP+ Activate helps to enable real-time personalization to build trust and boost early repeat purchases. To retain customers, the platform analyzes behavioral patterns, preferences, and communication touchpoints, segmenting audiences for maximum brand value. And to grow loyalty and lifetime value, AMP+ Activate surfaces insights from every interaction, turning ongoing behavior into strategic, optimized journeys that evolve with the customer.

ACQUIRE

Profiling

Move beyond basic demographic descriptions to truly understand your customers
Leverage Allant’s profiling approach to drive real customer and business intelligence ROI, outperforming random or univariate targeting
Use descriptive profiling to establish who your customers are (e.g., income, household status, etc.)
Advance from descriptive to predictive and prescriptive insights that inform actionable strategies
Identify key differentiators between your customers and the general market to optimize targeting
Uncover high-performing audience segments, e.g., income tiers or behaviors that are 3X more prevalent among your best customers than in the broader market

Predictive Modeling

Acquire customers who closely resemble your highest lifetime value (CLTV) segments
Target audiences based on advanced Recency | Frequency | Monetary (RFM) scoring
Go beyond basic demographics — understand which segments are most responsive across different channels
Leverage holistic predictive modeling to analyze customer behavior at a granular level
Optimize engagement by identifying segment-specific communication preferences
Implement multi-pronged strategies to balance lower-value segments with higher response rates
Continuously refine acquisition targeting based on performance insights and evolving market dynamics

Customer-Clone Lookalike Models

Identify the characteristics that differentiate your customers from the broader marketable universe
Move beyond rigid selection criteria: leverage inclusive, predictive modeling across all customer attributes
Score prospects based on their overall resemblance to your brand’s best customers
Balance flexibility: prospects may not match perfectly on all variables but can still score high overall
Output: rank your entire prospect universe from most similar to least similar to your customers
Outcome: drive 2–3X higher acquisition rates vs. traditional selection criteria
Optimize efficiency: typically capture 70% of responders by targeting just 30% of the universe

Response Models

Identify key differences between prospects who resemble your customers and those most likely to respond
Build upon Allant’s customer-clone lookalike models to incorporate actual response behavior
Focus on recent acquisitions to uncover nuanced predictors of response likelihood
Rank your entire prospect universe from most likely to respond to least likely to respond
Optimize acquisition targeting by prioritizing those with the highest probability of engagement
Drive 2–3X higher acquisition rates vs. customer-clone modeling alone
Capture ~40% of responders by targeting just 10% of the prospect universe, increasing efficiency and ROI

ENGAGE

New Customer Onboarding

Prioritize early engagement when your brand is top-of-mind with new customers
Seize the critical first four weeks; 99% of email/loyalty opt-ins happen within this window
Recognize that customers who opt in early are 3X more likely to make a repeat purchase within the first month
Early opt-in customers typically spend 4X more per transaction than non-opt-ins
Don’t overanalyze causality, act on opportunity: when customers open communication, respond with relevance
Deliver personalized, timely, and meaningful messaging to deepen loyalty and drive additional revenue

Communication Across Desired Channels

Engage customers on the channels where they are most active and responsive
Begin with the customer’s initial engagement channel as the starting point
Introduce additional channels to expand engagement opportunities and brand connection
Track and store all engagement details across every channel for a unified customer view
Leverage AMP+ to implement advanced techniques like engagement scoring and multi-touch attribution
Continuously optimize channel strategy based on customer behavior and performance insights

Retention / Loyalty Analytics

Leverage historical customer intelligence to inform early-phase customer journeys
Apply existing segmentation models to categorize new customers quickly and accurately
Use segment alignment to predict future engagement and transaction behaviors
Personalize retention and loyalty strategies based on predictive insights
Continuously refine journey mapping and loyalty programs with evolving customer data
Enable smarter, data-driven decisions that foster long-term loyalty and lifetime value

Basket Analysis

Analyze bundles of products frequently purchased together to uncover buying patterns
Use insights to drive highly relevant content and personalized product recommendations
Tailor offers based on purchase combinations to increase cross-sell and upsell opportunities
Refine basket strategies with demographic and segment-specific variations
Power more personalized customer engagement journeys aligned to proven purchase behaviors
Continuously optimize offer strategies to boost engagement and drive incremental revenue

Sequence Analysis

Perform longitudinal analysis of purchase sequences to predict the next most likely product
Uncover patterns that inform personalized product recommendations and next-best offers
Adapt strategies to variations across customer segments and life stages
Leverage first transaction spend as a highly predictive indicator of future buying behavior
Guide engagement journeys with insight-driven, timely product suggestions
Continuously refine sequencing models to optimize cross-sell and upsell effectiveness

RETAIN

Recency Frequency Models

Organic Segmentation

Create homogenous customer segments that are clearly differentiated from other groups
Leverage transactional data (products purchased, R/F/M, offer redemptions, purchase channels)
Incorporate behavioral data (communication preferences, loyalty participation, email opt-ins)
Enrich segments with demographic, psychographic, attitudinal, lifestyle, and interest data
Power targeted engagement strategies by aligning offers and messaging to distinct customer segments

Customer Lifetime Value

Engagement Scoring

Multi Touch Attribution

Enable optimized media spend allocation through accurate Multi-Touch Attribution (MTA)
Determine the value and influence of each customer touchpoint on conversion
Calculate varying channel weights to understand true marketing contribution
Measure performance by channel and identify the most effective engagement sequences
Drive smarter marketing strategies by continuously refining spend and channel mix based on attribution insights

Media Mix Modeling

Creative / Offer Optimization

Go beyond A/B/C/D testing with advanced methods like Experimental Design (Fractional Factorial Analysis)
Test 1,000+ message variations simultaneously across key creative factors
Optimize offers, hero images, headlines, copy versions, CTAs, and color palettes
Deploy 10–15 statistically representative combinations in-market to model all possible outcomes
Use results to rank and predict which creative combinations will drive the highest campaign performance

Attrition / Churn Modeling

Analyze customer behavior using Hazard and Survival modeling to predict churn risk
Identify that highest attrition often occurs after the first 1–2 transactions
Pinpoint optimal time windows to drive the next transaction and improve retention
Use Allant’s attrition model to identify customers most at risk of churn
Deploy targeted interventions and strong offers to minimize customer loss and maximize lifetime value

Cross-sell / Up-sell

Identify the right audiences for cross-sell/up-sell through segmentation, RFM, and predictive modeling
Recommend next likely products using sequence analysis, market basket insights, and seasonality trends
Optimize timing of offers through RFM analysis and next expected purchase date modeling
Tailor offer strength based on purchase recency, next expected purchase date, and redemption history
Leverage these strategies individually or in combination to fully optimize cross-sell and up-sell performance

GROW

Longitudinal Data Analysis

Provide end-to-end or phase-specific analysis of customer journeys from pre-acquisition through long-term loyalty
Help brands identify pillars, gaps, and priority initiatives for growth optimization
Reveal opportunities for economies of scale through overlapping facets across customer experiences
Define clear objectives, analytic tools, segments, communications, and channels for execution
Layer in advanced communication flows, cadence variations, business rules, and creative strategies based on engagement insights

Next Expected Purchase Dates

Predict each customer’s next expected purchase date to drive targeted engagement
Optimize audience targeting and offer timing to increase purchase frequency and habit
Vary offer strength based on proximity to the next expected purchase date
Use insights to drive stronger results in frequency-driven industries like hospitality and retail
Continuously refine predictions and offers to maximize customer lifetime value and revenue growth

Engagement Score

Analyze historical engagement behavior to uncover preferred customer channels
Design personalized journeys aligned to each customer’s channel preferences
Identify behavioral patterns and combinations linked to the highest profitability
Continuously prioritize and deliver content most relevant to each customer’s evolving interests
Encourage deeper brand engagement by introducing new, complementary engagement opportunities

Reactivation Winback

Analyze differentiating characteristics between lost customers and those who return
Identify high-value segments most worth targeting for winback efforts
Find the optimal balance between targeting profitability and likelihood of reactivation
Help brands focus on customers who are both worth saving and likely to re-engage
Drive targeted winback campaigns that maximize ROI and rebuild valuable customer relationships

Ready to see what Allant can do for you?

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