google-ads-audience-strategy-planner

Audience Strategy Planner

Complete guide for setting up an effective Google Ads audience strategy with first-party data, Google audiences, and layering strategies for lead generation.

Quick decision guide for choosing audience strategy in references/decision-trees.md.

GAQL: Check Audience Performance

-- Audience observation data from Search campaigns
SELECT campaign.name, ad_group.name,
    ad_group_criterion.user_list.user_list,
    ad_group_criterion.bid_modifier,
    metrics.impressions, metrics.clicks, metrics.cost_micros,
    metrics.conversions, metrics.conversions_value
FROM ad_group_audience_view
WHERE segments.date DURING LAST_30_DAYS
AND campaign.advertising_channel_type = 'SEARCH'
ORDER BY metrics.impressions DESC
LIMIT 100

-- All Customer Match + remarketing lists
SELECT user_list.name, user_list.size_for_search,
    user_list.size_for_display, user_list.membership_life_span,
    user_list.type, user_list.eligible_for_search
FROM user_list
ORDER BY user_list.size_for_search DESC
LIMIT 50

Audience Types Overview

Type	Description	Use Case
First-Party Data
Customer Match	Your customer lists (email, phone, address)	Upsell, loyalty, exclusion
Website Visitors	Remarketing lists (RLSA)	Re-engage, cart recovery
YouTube Users	Video interactions	Video remarketing
GA4 Audiences	Behavioral segments	Complex targeting
Google-Provided
In-market	Actively researching products	High-intent prospecting
Affinity	Long-term interests & lifestyle	Brand awareness
Life Events	Major life changes (moving, wedding)	Timely targeting
Detailed Demographics	Age, gender, income, parental	Demographic targeting
Optimized Targeting	Google expands beyond selections	Scale acquisition
Custom Segments	Keywords, URLs, app interests	Custom intent targeting

Optimized Targeting replaced Similar Audiences (deprecated May 2023). Enabled by default in Display, YouTube, and Demand Gen.

Audience Sizing

Network	Minimum Size
Search (RLSA)	1,000 users
Display / Gmail	100 users
YouTube	1,000 users
Customer Match	1,000 matched users

Optimal size: 10,000-100,000 for stable data. Recommended membership durations: All Visitors 30-90d, Cart Abandoners 7-14d, Converters 180-365d (for exclusion).

Customer Match Setup

Requirements: $50,000+ lifetime spend, 90+ days account history, good compliance.

Data types: Email, phone (with country code), mailing address, mobile device IDs.

Data Combination	Expected Match Rate
Email only	30-50%
Email + Phone	45-65%
Email + Phone + Name	55-75%
All fields	60-80%

Setup: Tools → Audience Manager → Segments → "+ Segment" → "Customer list". Upload CSV or automate via API. Processing takes 24-48 hours.

Customer Match Strategies

Strategy	Segment	Targeting	Bid Adjustment
Upsell/Cross-sell	Active customers, last purchase >30d	Observation or Targeting	+20-50%
Win-back	Churned customers (90+ days)	Targeting	+10-30%
Exclusion (acquisition)	All customers	Exclude	N/A
Optimized Targeting	Best customers as signal	Signal for Display/YouTube/Demand Gen	N/A
PMax Signals	Customer list	Audience signal (not direct targeting)	N/A

Segment by: purchase value, recency, product category, or LTV tier.

Audience Layering Strategies

AND Logic (narrowing): In-market: Business Services AND Affinity: Business Professionals AND Age 25-54 → smaller, more qualified audience.

OR Logic (expanding): In-market: CRM Software OR Cloud Storage OR Cybersecurity → larger audience, related interests.

Exclusion Logic: Target all website visitors MINUS converters MINUS Customer Match → prospecting only.

B2B Lead Gen Layering Example

• Layer 1 (Intent): In-market for Enterprise Software + Cloud Services
• Layer 2 (Decision maker): Affinity for Business Professionals + Income Top 10%
• Layer 3 (Exclusion): Exclude current customers + recent converters

B2B Targeting Solutions

Google Ads lacks job title / company size targeting. Workarounds:

1. In-market + Affinity layering for decision makers
2. Customer Match segmented by firmographics (enterprise/mid-market/SMB)
3. Custom Segments with competitor/tool keywords and review site URLs (g2.com, capterra.com)
4. LinkedIn → Google Ads workflow: Generate leads on LinkedIn → export to Customer Match → use as PMax signal → Display remarketing via Google

Full-Funnel Audience Framework

Funnel Stage	Audiences	Campaigns	Budget
Awareness	Affinity, Optimized Targeting, Life Events	Display, YouTube, Demand Gen	15-25%
Consideration	In-market, Website visitors, Custom intent	Display, YouTube, Search (broad)	30-40%
Decision	RLSA (high-intent), Form abandoners, Return visitors	Search, Remarketing Display	35-45%
Loyalty	Customer Match, Recent converters	Display remarketing, YouTube	5-10%

Detailed In-market/Affinity category lists, Custom Segments setup guide, and Google Ads Script for audience analysis in references/detailed-reference.md.

Output: Audience Strategy Template

# Audience Strategy Plan

## Business Context
- **Type:** [B2B/B2C/Local] | **Deal value:** $[X] | **Sales cycle:** [X days]

## First-Party Data
| Data Type | Size | Match Rate | Status |
|-----------|------|------------|--------|
| Customer emails | [X] | [X%] | [Status] |
| Website visitors | [X] | N/A | [Tag status] |
| GA4 audiences | [X] | N/A | [Linked] |

## Audience Layering per Campaign
Layer 1 (Intent): [Audiences]
Layer 2 (Qualification): [Audiences + Demographics]
Layer 3 (Exclusions): [Exclusion lists]

## Bid Adjustments
| Audience | Adjustment | Rationale |
|----------|------------|-----------|
| [Audience] | +20% | High performer |
| [Audience] | -15% | Lower quality |

## Implementation Checklist
- [ ] Customer Match lists uploaded
- [ ] In-market audiences added (observation)
- [ ] Custom segments created
- [ ] Exclusion lists configured
- [ ] GA4 audiences linked
- [ ] Bid adjustments set