Performance Max campaigns run across every Google channel simultaneously: Search, Shopping, Display, YouTube, Gmail, and Discover. For DTC brands, they have become the default campaign structure for ecommerce sales objectives. What most brands do not realise is that Performance Max uses the purchase conversion value as its primary learning signal across all of those channels. Every channel, every placement, every audience signal is governed by the same value field in the conversion tracking configuration. If that value is checkout AOV, Performance Max optimises every channel toward first-order spenders. If that value is predicted 12-month customer revenue, it optimises every channel toward customers who will still be buying in month 18.

The difference in outcome is not incremental. A supplement brand running Performance Max with AOV signals acquires customers who look like efficient first-order converters. A supplement brand running Performance Max with pLTV signals acquires customers whose early behavioural signals predict subscription conversion, repeat purchases, and strong 12-month LTV. Same campaign structure. Same budget. Same asset groups. The conversion value field is the only variable. Google documentation confirms that the most effective Performance Max implementations use value-based bidding with differentiated conversion values.

This guide covers how Performance Max uses value signals, the three tiers of value signal fidelity, how Conversion Value Rules and New Customer Acquisition goals integrate with Performance Max, and the specific configuration for passing pLTV via Offline Conversion Import so that every Google channel optimises toward long-term customer economics.

In This Article

How Performance Max Uses Conversion Value Signals

Performance Max combines Smart Bidding with cross-channel delivery optimization. At every auction across every Google channel, the algorithm predicts the probability that a given user will convert and the expected value of that conversion if they do. The bid is set based on both signals: conversion probability multiplied by expected conversion value. Maximize Conversion Value bidding then allocates budget toward the auctions where the expected total value is highest.

This is why the conversion value field is the single highest-leverage input in the entire Performance Max configuration. It is not a reporting number. It is the training signal that governs which users the algorithm learns to find across Search, Shopping, Display, YouTube, Gmail, and Discover simultaneously. When that value is checkout AOV, "highest value" means highest first-order spend. When it is predicted 12-month revenue, "highest value" means the customers who generate the most downstream revenue and profit.

The conversion value attached to each purchase event in Google Ads conversion tracking. Performance Max uses this value as the primary training signal for cross-channel bid optimization. Determines which user profiles the algorithm learns to find across all Google channels. Operates with Maximize Conversion Value and tROAS bidding strategies. Can be a static amount, dynamic checkout AOV, AOV with segment multipliers via Conversion Value Rules, or ML-predicted 12-month customer revenue via OCI.

The Three Value Signal Tiers for Performance Max

Three distinct approaches exist for configuring the value signal that Performance Max trains on. Each tier produces progressively more accurate representation of customer economics, and progressively different customer profiles at acquisition. The Customer Lifetime Value in Google Ads guide covers each tier in detail. The chart below maps them in the context of Performance Max specifically.

Three value signal tiers for Performance Max campaignsEach tier changes what the algorithm optimises toward across all Google channels. Higher signal fidelity produces better customer profiles.TIER 1Static / AOVCheckout transaction amount or fixed value per purchase event.Best for: single-SKU brands, uniform price points, or accounts with fewer than 30 monthly conversions.Signal quality: Low. Every conversion weighted equally. PMax cannot distinguish high-LTV from low-LTV buyers.Setup: Conversion tracking with static or dynamic purchase values in Google Ads.Effort: MinimalTIER 2AOV + Value RulesDynamic checkout value with Conversion Value Rules multipliers for LTV segments.Best for: multi-SKU brands with Customer Match subscriber lists. Approximates LTV at segment level.Signal quality: Medium. PMax differentiates order sizes and values high-LTV segments more within its bidding.Setup: Dynamic conversion values, Customer Match upload, Value Rules under Goals in Google Ads.Effort: Low to MediumTIER 3pLTV via OCIML-predicted 12-month customer revenue uploaded daily via Offline Conversion Import.Best for: supplements, skincare, wellness where first orders systematically understate downstream customer value.Signal quality: Highest. PMax optimises across all channels for predicted 12-month LTV, not checkout amount.Setup: GCLID capture, ML model, daily OCI pipeline. AdZeta ValueBid automates steps 2 and 3.Effort: Medium to HighAll three tiers work with Maximize Conversion Value and tROAS bidding in Performance Max. Signal fidelity determines cohort quality.

What Performance Max Sees With Each Signal Tier

The same two customers, acquired in the same Performance Max campaign, produce entirely different learning signals depending on which tier is active. This chart shows the specific numbers Performance Max receives and what it learns from each.

What Performance Max sees with each value signal tierSame campaign structure, same budget, same asset groups. The only change is the conversion value field. What the algorithm learns to find is entirely different.TIER 1: AOV SIGNALCheckout transaction amountWHAT PMAX SEES$29 sample pack buyer$89 bundle buyerWHAT PMAX LEARNSFind users who makelarge first purchasesCOHORT RESULTHigh first-order ROASLow repeat rateLow subscription conversionTIER 2: AOV + VALUE RULESAOV with segment multipliersWHAT PMAX SEES$29 sample buyer: $29$29 sub-list buyer: $87 (3x)WHAT PMAX LEARNSUsers matching subscriberlist are worth 3x moreCOHORT RESULTImproved cohort qualitySegment-level LTV proxyLimited by list granularityTIER 3: pLTV VIA OCIML-predicted 12-month revenueWHAT PMAX SEES$29 sample buyer: $247$89 bundle buyer: $74WHAT PMAX LEARNSUsers whose early signalspredict high 12-mo valueCOHORT RESULTStrong repeat purchase rateHigh subscription conversionPer-customer optimisationThe $29 sample pack buyer is worth $247 when the model predicts subscription. The $89 bundle buyer is worth $74 when it predicts churn.AOV inverts their real value. pLTV corrects it. Performance Max acts on whichever number it receives.adzeta.io

The $29 sample pack buyer who converts to a $79 monthly subscription within 30 days generates $977 in 12-month revenue. The $89 bundle buyer who purchased on a 40% off promotion and never returns generates $89. Performance Max receiving checkout AOV assigns $29 to the first customer and $89 to the second. It bids more for the $89 profile. The pLTV model inverts this: $247 for the predicted subscriber, $74 for the predicted one-time buyer. The algorithm now bids 3.3x more for the customer who will produce 11x more downstream revenue.

Conversion Value Rules in Performance Max

Conversion Value Rules apply segment-level multipliers to the conversion value at auction time. When active in a Performance Max campaign, they modify the effective conversion value for purchases from specified audience segments, geographic locations, or device types. For DTC brands, the highest-impact application is a Customer Match list multiplier: a 2x to 3x rule on purchases from known subscriber profiles tells Performance Max that buyers who resemble your existing subscribers are worth proportionally more.

Setting up Conversion Value Rules for Performance Max follows the same configuration as other campaign types: navigate to Goals, then Conversion Value Rules, then create a new rule with an Audience primary condition targeting your high-LTV Customer Match list. Apply a multiplication factor (2x is conservative, 3x is aggressive, start with 2x and adjust based on observed cohort quality after 6 weeks). The multiplier applies in real time at auction and is reflected in the conversion value column of your reports.

The limitation of Value Rules in Performance Max is the same as in other campaign types: segment-level granularity. Every member of the subscriber Customer Match list receives the same multiplier, regardless of individual predicted value. A subscriber who will reorder 12 times and one who will cancel after month 2 are treated identically. This is a meaningful improvement over pure AOV but remains an approximation of individual-level customer economics.

New Customer Acquisition Goals in Performance Max

Google recommends New Customer Acquisition goals for Performance Max campaigns where growing the customer base is a primary objective. When enabled, Performance Max adds an incremental value to conversions identified as first-time buyers, telling the bidding system to prioritise net new customer acquisition alongside purchase value maximisation.

The New Customer Value Mode is particularly powerful when combined with Tier 3 pLTV signals: the algorithm receives the pLTV score as the base conversion value and adds the new customer premium on top. This means Performance Max is simultaneously optimising for two objectives: finding users predicted to produce high 12-month value AND prioritising users who are not already in the customer base. The combination produces the highest-quality prospecting that Performance Max is capable of.

The setup requires a customer list (minimum 1,000 active members) or auto-detection using the past 540 days of purchase history. Google recommends using first-party list matching over auto-detection for accuracy. Brands that have already built Customer Match lists for Conversion Value Rules can use the same infrastructure for New Customer Acquisition goals, consolidating both features into a single audience management workflow.

NEW CUSTOMER VALUE MODE
9%
Average ROAS improvement for advertisers using New Customer Value Mode in Performance Max, according to Google. Additionally, 5% improvement in new customer ratio and 7% reduction in new customer acquisition cost reported across the advertiser base.
Source: Google Ads Help Article 2026

Setting Up pLTV Value Signals for Performance Max

  1. Confirm dynamic conversion values are active in Performance Max

    Navigate to Goals, then Conversions in Google Ads. Verify that your Purchase conversion action is set to Use different values for each conversion, not a static amount. Check the Conversion Value column in your campaign reporting to confirm varied, non-uniform values appear per day. If all values are identical, the dynamic tag implementation is not working and all downstream LTV configurations will be ineffective.

  2. Apply Conversion Value Rules for immediate signal improvement (Tier 2)

    While building the pLTV pipeline, implement Tier 2 immediately for an interim signal upgrade. Upload a Customer Match list of subscribers and high-repeat-rate customers (minimum 1,000 members). Create a Conversion Value Rule with a 2x multiplier for this audience. Performance Max will begin weighting delivery toward lookalike profiles for this segment within 2 to 3 weeks.

  3. Enable New Customer Acquisition goals if prospecting is the primary objective

    Under Goals in Google Ads, navigate to the Customer Acquisition section. Enable New Customer Value Mode. Set an incremental value for new customers based on your average expected repeat purchase value. For supplement brands with a 32% repeat rate and $72 average repeat order, the incremental new customer value is approximately $23. This tells Performance Max to bid that additional amount for net-new buyers.

  4. Build the pLTV OCI pipeline and switch the conversion value field

    Establish GCLID capture at all paid landing pages with storage in CRM against order records. Train the ML model on 12 or more months of cohort purchase history. Build the OCI upload pipeline: GCLID-matched pLTV scores uploaded daily within 48 hours of purchase. Once the pipeline runs for 2 weeks with validated score distribution, switch the conversion value from checkout AOV to the pLTV score. Do not make any other Performance Max changes at the same time.

  5. Hold for 8 weeks and evaluate on cohort quality, not ROAS

    Set a week-8 review date before the switch. Communicate it to all stakeholders. During weeks 1 to 6, monitor OCI upload health and the bid strategy report. At week 8, evaluate on two metrics: has ROAS recovered to or above pre-switch baseline? Has 30-day repeat purchase rate for the post-switch cohort improved versus the pre-switch baseline? Both conditions must be met. If ROAS has recovered but repeat rate has not improved, investigate the pLTV model accuracy. The learning period mechanics are the same as described in the Smart Bidding learning period guide.

Common Performance Max Value Signal Mistakes

  • Confusing asset group signals with value signals

    Audience signals attached to asset groups in Performance Max are starting suggestions, not constraints. The algorithm will expand beyond them quickly. Asset group signals determine initial reach. Conversion value determines what the algorithm learns to optimise toward. Most brands invest significant time in asset group audience configuration while leaving the conversion value at checkout AOV, which means the actual optimisation objective is misaligned with their intent.

  • Running Maximize Conversions instead of Maximize Conversion Value

    Maximize Conversions optimises for volume: the most purchase events at budget. Maximize Conversion Value optimises for total value: the highest sum of conversion values at budget. The difference is irrelevant when all conversions have the same value (static), but critical when values vary (dynamic AOV, Value Rules, or pLTV). For any brand with differentiated customer economics, Maximize Conversion Value is the correct bid strategy for Performance Max.

  • Setting tROAS before the algorithm has calibrated on new value signals

    Switching from Maximize Conversion Value to tROAS (or changing the tROAS target) immediately after introducing pLTV values gives the algorithm a profitability constraint before it has learned the new value distribution. Run Maximize Conversion Value for 4 to 6 weeks after a signal change, observe the stabilised ROAS, then introduce tROAS at or below that level.

  • Running separate Performance Max campaigns for prospecting and retargeting

    Performance Max is designed to optimise across the full funnel in a single campaign. Splitting prospecting and retargeting into separate PMax campaigns fragments the learning signal and prevents the algorithm from allocating budget efficiently between upper-funnel and lower-funnel opportunities. One Performance Max campaign with strong value signals and New Customer Acquisition goals handles both objectives better than two campaigns with weaker signals.

  • Not excluding existing customers when new customer acquisition is the goal

    Without the New Customer Value Mode or customer exclusion lists, Performance Max will naturally gravitate toward retargeting existing customers because they convert at higher rates and produce higher short-term ROAS. This is efficient for the algorithm but counterproductive for the brand if the objective is growing the customer base. Enable NCA goals or upload customer exclusion lists to prevent the algorithm from spending prospecting budget on existing customers.

Performance Benchmarks: Performance Max With and Without pLTV

Google reports that advertisers using New Customer Value Mode in Performance Max see an average 9% ROAS improvement, 5% improvement in new customer ratio, and 7% reduction in new customer acquisition cost. These benchmarks are for the feature alone, independent of the conversion value signal quality.

When pLTV values are added to Performance Max via OCI, the benchmarks shift further. Across AdZeta client accounts in the supplement and skincare verticals, Performance Max campaigns with pLTV signals produce an average 20 to 30% CAC reduction within 60 days and a 15% ROAS lift from the value signal change specifically. The more significant outcome is the cohort quality improvement: 30-day repeat purchase rates for pLTV-optimised Performance Max cohorts average 30 to 45% higher than the same campaigns running on checkout AOV, because the algorithm has been trained to find the subscription-converting buyer profile across all Google channels rather than the cheap first-order converter.

The compounding effect is unique to Performance Max because of its cross-channel architecture. In a standard Search campaign, a pLTV signal improves one channel. In Performance Max, the same signal improves targeting, delivery, and bid optimization simultaneously across Search, Shopping, Display, YouTube, Gmail, and Discover. The ValueBid™ platform automates the OCI pipeline that feeds this signal into Performance Max on a daily basis, ensuring the algorithm receives consistent, up-to-date pLTV scores across the full customer acquisition surface.

PMax with checkout AOV
2.6x LTV:CAC
PMax with pLTV via OCI
4.3x LTV:CAC
Supplement brand at $48K monthly Google spend. 90-day comparison: same Performance Max campaign structure, value field switched from checkout AOV to ML-predicted 12-month revenue via OCI. Cohort 30-day repeat rate improved from 22% to 33%.

Key Takeaways

  • Performance Max uses the purchase conversion value as its primary learning signal across all Google channels simultaneously. What you pass in the value field determines which customer profiles the algorithm finds on Search, Shopping, Display, YouTube, Gmail, and Discover.
  • Three value signal tiers exist: static or dynamic AOV (Tier 1), AOV with Conversion Value Rules for LTV segments (Tier 2), and ML-predicted 12-month customer revenue via OCI (Tier 3). Each tier changes what the algorithm optimises toward and which customer profiles it acquires.
  • Asset group audience signals are starting suggestions. The conversion value is the actual optimisation objective. Most brands invest heavily in asset group targeting while leaving the value field at checkout AOV, which means the algorithm optimises toward first-order efficiency regardless of how good the audience signals are.
  • Conversion Value Rules and New Customer Acquisition goals both integrate directly with Performance Max. Combined with Tier 3 pLTV signals, they produce the highest-quality prospecting Performance Max can deliver: high predicted LTV AND net new customer prioritisation.
  • Hold the campaign structure stable for 8 weeks after switching to pLTV values. Evaluate at week 8 on ROAS recovery and cohort 30-day repeat rate comparison versus the pre-switch baseline.
  • The cross-channel architecture of Performance Max makes signal quality more important than in any other campaign type. A single pLTV signal change improves targeting across six Google channels simultaneously rather than a single channel in isolation.

Further Reading

Google Smart Bidding With LTV Signals: How to Set It Up in 2026 -- OCI setup, GCLID capture requirements, and the three signal paths into Smart Bidding that feed Performance Max.

Customer Lifetime Value in Google Ads: Setup Guide for DTC Brands -- the three methods for passing LTV as a bidding signal, dynamic conversion value setup, and Conversion Value Rules configuration.

The Smart Bidding Learning Period: What DTC Brands Need to Know -- the four learning phases, what to monitor vs leave alone, and the 8-week minimum hold for pLTV OCI transitions.