Lifetime Value in Advertising Decisions: Beyond First-Order Thinking

A customer acquired at a loss on their first order might be highly profitable over their lifetime. Conversely, a customer acquired profitably might never return, making them less valuable than they appeared. We believe understanding and incorporating Lifetime Value (LTV) into advertising decisions is essential for optimizing long-term profitability.

Understanding LTV in Advertising Context

What LTV Measures

Customer Lifetime Value is the total profit a customer generates over their entire relationship with your business:

LTV = Average Order Profit × Purchase Frequency × Customer Lifespan

Or calculated retrospectively:

LTV = Sum of all profit from customer orders over defined period

Why LTV Matters for Advertising

LTV affects how much you can afford to spend on acquisition:

• High LTV customers: Justify higher acquisition costs
• Low LTV customers: Require efficient first-order profitability

If you optimize only to first-order profit, you may underbid for valuable long-term customers and overbid for one-time buyers.

The LTV:CAC Ratio

The relationship between LTV and Customer Acquisition Cost determines sustainability:

• LTV:CAC > 3:1: Generally healthy, room to scale
• LTV:CAC 2-3:1: Acceptable, watch efficiency
• LTV:CAC 1-2:1: Tight, may need improvement
• LTV:CAC < 1:1: Unsustainable, losing money

Calculating LTV for Advertising Decisions

Historical LTV Calculation

Calculate actual LTV from past cohorts:

1. Select a cohort (e.g., customers acquired in Jan 2023)
2. Sum all profit from that cohort through today
3. Divide by number of customers in cohort
4. This is realized LTV for that cohort at current age

Projected LTV Calculation

For newer customers, project future behavior:

1. Calculate profit to date
2. Apply retention curves from mature cohorts
3. Project future profit based on retention and repeat purchase patterns
4. Sum realized + projected profit for total LTV

Segment-Level LTV

LTV varies significantly by segment. We recommend calculating separately for:

• Acquisition channel: Customers from different sources have different LTV
• Product category: Entry product affects repeat behavior
• Customer type: B2B vs. B2C, demographic segments
• First order characteristics: Size, margin, product mix

Incorporating LTV into Bidding

LTV-Based Conversion Values

Instead of passing first-order profit as conversion value, pass predicted LTV:

• New customer conversion: Pass predicted LTV
• Returning customer conversion: Pass incremental order profit

This tells algorithms to value new customers appropriately.

Calculating LTV-Based Conversion Values

For a new customer, we recommend this approach:

Conversion Value = First Order Profit + (Predicted Future Profit × Confidence Factor)

The confidence factor (0.5-0.9) accounts for prediction uncertainty. Don't use full projected value.

Separate Campaigns for New vs. Returning

An alternative approach:

• New customer campaigns: Higher CAC tolerance, bidding toward LTV
• Returning customer campaigns: Standard profit-based bidding

This allows different strategies for different customer values.

LTV-Adjusted Budget Allocation

Channel-Level LTV Analysis

Calculate LTV by acquisition channel:

1. Tag customers with acquisition channel
2. Track LTV by channel cohort
3. Compare channel LTV to channel CAC
4. Allocate budget based on LTV:CAC efficiency

Reallocation Based on LTV

A channel might look expensive on first-order but efficient on LTV:

• Channel A: $50 CAC, $30 first-order profit, $150 LTV → 3:1 LTV:CAC
• Channel B: $30 CAC, $35 first-order profit, $60 LTV → 2:1 LTV:CAC

Channel A looks worse on first-order but better on LTV. It deserves more budget.

Cash Flow Considerations

LTV-based allocation requires considering cash flow. We've found that:

• Channel A ties up more cash longer (higher CAC, delayed payback)
• You need capital to sustain LTV-based acquisition
• Balance long-term optimization with cash constraints

Setting LTV-Informed POAS Targets

First-Order Target vs. LTV Target

Two approaches to target setting:

First-Order POAS Target

Target based on first-order profit only:

• Conservative, cash-flow friendly
• Ignores LTV upside
• Appropriate for low-repeat businesses or cash-constrained situations

LTV-Adjusted POAS Target

Target based on lifetime profit:

• More aggressive, growth-oriented
• Accounts for repeat purchase value
• Requires confidence in LTV predictions

Calculating LTV-Adjusted Break-Even

If average LTV is 2.5x first-order profit:

• First-order break-even: 1.0x POAS
• LTV-adjusted break-even: 0.4x POAS

You can afford to lose on first order if LTV recovers it.

Blended Target Approach

A practical middle ground:

Target POAS = (First-Order BE × Weight1) + (LTV-Adjusted BE × Weight2)

Example: If first-order BE is 1.0x and LTV-adjusted BE is 0.4x:

Target = (1.0 × 0.6) + (0.4 × 0.4) = 0.76x POAS target

This balances first-order profitability with LTV opportunity.

Predicting LTV for New Customers

Predictive Signals

Early behaviors that correlate with higher LTV:

• First order characteristics: Higher AOV, full-price purchase, multiple items
• Product category: Certain categories indicate repeat behavior
• Acquisition source: Some channels produce higher LTV
• Demographics: Age, location, etc. may correlate with LTV
• Engagement: Email opens, site visits, app downloads

Building LTV Prediction Models

Here's our recommended approach:

1. Analyze mature cohorts to identify LTV predictors
2. Build model predicting LTV from early signals
3. Validate model on holdout data
4. Apply model to score new customers

Using Predictions in Advertising

Apply predicted LTV to advertising decisions:

• Pass predicted LTV as conversion value for new customers
• Adjust bids based on audience LTV predictions
• Allocate budget to campaigns targeting high-LTV segments

Customer Segmentation by LTV Potential

LTV Tiers

We recommend segmenting customers by LTV potential:

• High LTV (top 20%): Invest heavily in acquisition and retention
• Medium LTV (middle 60%): Efficient acquisition, standard retention
• Low LTV (bottom 20%): Efficient acquisition only, minimal retention spend

Advertising Strategy by Tier

High LTV Segments

• Higher CAC tolerance
• Premium channels and placements
• Longer attribution windows
• Investment in nurturing and relationship building

Low LTV Segments

• Strict first-order profitability requirements
• Efficient channels only
• Limited or no remarketing investment
• May exclude from prospecting entirely

LTV and Promotional Strategy

Discount Impact on LTV

Discounting affects LTV, not just first order:

• Customers acquired with deep discounts often have lower LTV
• They may be conditioned to wait for sales
• Full-price customers often have higher repeat rates

Analyzing Promotional LTV

Compare LTV by acquisition offer:

• Customers acquired with 30% off: Average LTV $X
• Customers acquired with 15% off: Average LTV $Y
• Customers acquired at full price: Average LTV $Z

Use this to set appropriate discount strategies.

LTV-Informed Promotions

We recommend structuring promotions with LTV in mind:

• First-order discounts may be acceptable if LTV justifies
• Ongoing discounting destroys LTV
• Test discount levels against resulting LTV

Challenges in LTV-Based Advertising

Prediction Uncertainty

LTV predictions are uncertain:

• New customers may not behave like historical ones
• Market conditions change
• Product mix evolves

Our recommendation: Use conservative LTV estimates, monitor actual vs. predicted regularly.

Long Payback Periods

LTV often takes years to realize:

• Cash is tied up in acquisition
• Difficult to validate quickly
• Business conditions may change before LTV realizes

Our recommendation: Balance LTV optimization with cash flow needs. Use appropriate discount rates.

Attribution Complexity

Attributing LTV to acquisition campaigns is complex:

• Multiple touchpoints over long periods
• Retention marketing influences LTV
• Hard to isolate acquisition impact

Our recommendation: Focus on first-order attribution for acquisition. Measure LTV by cohort and channel over time.

Conclusion

Lifetime Value transforms advertising from a transaction-focused activity to a relationship-focused one. By incorporating LTV into bidding, budget allocation, and target setting, you can afford to acquire customers who become long-term profit generators.

The key is balance: LTV-based thinking enables growth, but it requires accurate prediction, sufficient capital, and ongoing validation. We recommend starting by measuring LTV by acquisition source. Identify high-LTV segments. Gradually incorporate LTV into your advertising decisions.

We've seen that advertisers who understand LTV can outbid competitors focused only on first-order profitability—and still come out ahead.