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Practical guides on Google Ads account structure, bidding strategy, measurement, and the decisions that separate effective accounts from expensive ones.
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Google Consent Mode for Lead Generation: What It Fixes, What It Breaks, And How To Roll It Out Without Corrupting Your Data
Consent Mode is now unavoidable for lead gen accounts serving privacy-regulated markets. Here is how to implement it correctly and understand what the modeled data actually represents.
Server-Side Tagging for Google Ads and GA4: When It Helps, When It Does Not, And How To Set It Up Safely
Server-side tagging is a legitimate upgrade for specific situations. The value is real. The use cases are narrower than the marketing suggests. Here is where it actually helps.
Search Terms Insights in Google Ads: A Query-Mining Workflow for the Broad Match and AI Era
Broader match types mean the job of reviewing query data becomes more important, not less. Here is the weekly workflow that turns search term data into negatives, copy, and landing page improvements.
Brand Search Cannibalization in Performance Max: How To Use Brand Exclusions Without Killing Incremental Growth
Whether brand exclusions are the right call depends on your specific account. Here is the measurement and decision framework to find out — without the circular debate.
Merchant Center for Agencies: The Operational Playbook for Multi-Client Shopping Accounts
Managing Shopping campaigns across multiple clients without a structured Merchant Center model is a recipe for fire drills. Here is the operational playbook that prevents them.
Microsoft AI Performance Dashboard: How To Measure Brand Visibility In AI Answers Before Traffic Shows Up
AI-driven discovery often influences decisions before a referral click appears. The Microsoft AI Performance Dashboard is the first mainstream tool to make that citation layer measurable.
AI Agent Traffic Analytics: How To Identify, Segment, And Value Non-Human Discovery Traffic
Most AI traffic does not arrive with a referral tag. It arrives as branded search, as direct, or as an increase in baseline that gets attributed to nothing. Here is how to build a framework that is honest about that.
Incrementality Testing for PPC: How To Prove What Google Ads And Paid Social Actually Add
Attribution tells you which touchpoints appeared before a conversion. Incrementality tells you which caused it. For accounts at meaningful spend, those two answers can be very different.
Copilot Offer Highlights And Copilot Checkout: What Ecommerce Brands Need To Prepare Now
Brands that benefit from conversational commerce earliest are not necessarily the biggest. They are the ones with the most reliable product data, clearest offers, and cleanest merchant signals.
AI Max for Search Campaigns: What It Is, Who Should Use It, And How To Roll It Out Without Breaking Performance
AI Max is not a simple toggle. It's a structural change in how Search traffic is discovered and routed. Here's when to use it and how to roll it out without breaking performance.
Google Ads Campaign Consolidation: When To Merge Campaigns, When To Keep Them Separate, And How To Avoid AI-Era Waste
Consolidate when traffic shares the same objective, geography, and bid logic. Separate when the business is actually different. Here's the framework.
Demand Gen In 2026: Channel Controls, Shoppable CTV, Attributed Branded Searches, And When It Beats Paid Social
Demand Gen now gives more explicit channel control across YouTube, Discover, Gmail, and CTV. Here's how to use it strategically, not as a black-box awareness campaign.
How To Improve Lead Quality In Google Ads With Enhanced Conversions, Offline Imports, And Data Manager
Lead gen accounts fail in one predictable way: the platform gets told every form fill is good. Here's the measurement stack that fixes it.
Performance Max Placement Report: How To Audit Search Partner Domains, Use The Report Correctly, And Protect Brand Suitability
The PMax placement report is a brand-suitability and transparency tool, not a full performance scorecard. Here's how to use it correctly and avoid overreacting to partial data.
GA4 For PPC: The Measurement Stack That Turns Google Ads From A Spend Channel Into A Growth Engine
Most PPC reporting answers 'how many conversions?' but fails to answer which campaigns create qualified demand or where friction kills results. GA4 can fix that.
ChatGPT Ads For Marketers: What Changes, What Does Not, And How Paid Search Teams Should Respond
The biggest shift isn't that brands can buy into AI answers. It's that intent, recommendation, discovery, and branded search can now interact inside one user flow.
PPC Landing Page Optimization For Lead Generation: Message Match, Form Friction, Trust Signals, And The Fixes That Usually Matter First
When a paid search account underperforms, the ad account gets blamed first. Often the bigger problem is the page. Here are the five fixes that usually matter most.
Google Ads For eCommerce In 2026: How Search, Performance Max, And Demand Gen Should Work Together
Search, PMax, and Demand Gen are not substitutes. They have different jobs. Here's the clean model for how they should work together in a modern eCommerce account.
Google Ads Account Structure In The AI Era: Broad Match, Themed Ad Groups, Fewer Campaigns, And Better Control Where It Actually Matters
The old goal was to force precision through segmentation. The new goal is to give Google clean signal while keeping control where the business actually needs it.
PPC Automation Layering: How To Combine Smart Bidding, Audiences, Negatives, Creative, And Landing Pages
Automation is the execution engine, not the strategy. Layering five control inputs, measurement, bidding, audiences, query control, and creative, is what determines whether Smart Bidding performs or drifts.
Why Google Ads Budgets Overspend With Target CPA Or ROAS And How To Get Control Back
Target CPA and ROAS are averages the algorithm optimises toward, not spend caps. Five specific conditions cause budgets to overspend or costs to climb despite hitting the reported target.
Feed-Only Performance Max: When It Works, When It Fails, And How To Build It For eCommerce
Feed-only PMax focuses on Shopping-type inventory without additional creative assets. It works best with mature catalogs, strong feeds, and teams willing to segment and review at the product level.
Google Ads Data Strength Explained: What It Means, How To Improve It, And Why It Changes Bidding
As Smart Bidding expands, data quality becomes performance leverage. Accurate conversions, enhanced conversions, CRM integration, and fresh Customer Match lists give the algorithm stronger signal to act on.
Should You Use Auto-Generated Creative In Google Ads? The Real Trade-Off Between Scale And Control
The right question about automated creative is not whether to use it but how much freedom to give it. Large catalogs with strong source copy benefit most; regulated and B2B categories need tighter review.
Product Feed Optimization For AI Search, Shopping, And YouTube: The New Retail Visibility Playbook
The product feed now powers Shopping, YouTube commerce, free listings, Performance Max, and AI-assisted discovery. Feed quality is no longer just a Shopping input, it is a broader retail visibility asset.
Click Fraud In Google Ads: What Google Filters Automatically And What Advertisers Still Need To Audit
Google filters most bot and invalid traffic automatically. What advertisers still need to audit is different: placement quality, form spam, lead quality by source, and conversion tracking accuracy.
SEO vs PPC For Service Businesses And eCommerce Brands: A Decision Framework Based On Intent, Speed, And Margin
The SEO versus PPC question is almost always a sequencing question, not a permanent choice. PPC leads when speed and intent data matter most; SEO leads when compounding visibility and margin economics are the priority.
Google Ads vs Microsoft Ads For Lead Generation And eCommerce: Where Should You Spend First?
Google Ads comes first for almost every advertiser. Microsoft Ads is a valuable expansion channel for B2B, finance, healthcare, and home services where the audience fit and CPC efficiency make the case.
Google Ads Shortcuts, Labels, Experiments, And Negative Lists: 7 Workflows That Save Time And Improve Decisions
The best Google Ads shortcuts are repeatable workflows: labels that drive decisions, experiments before large changes, centralized negative lists, saved filters, consistent naming, a weekly dashboard, and a change log.
Dynamic Search Ads To AI Max: The Migration Plan For Lead Gen And Ecommerce Brands
Migrating from DSA to AI Max is a structural change, not a settings toggle. Run the five-area audit first, build your page feed, and expand only after lead quality holds.
Sponsored Stores In Google AI Mode: What Retailers Need To Fix Before The Click
AI Mode shopping surfaces reward merchant clarity: specific titles, accurate pricing, real inventory, and strong trust signals. Here is what retailers need to fix before the click.
Google Ads Text Guidelines: How To Control AI-Generated Copy Without Killing Scale
Text Guidelines define the rules AI works within so scale and brand control coexist. The best guidelines are short, concrete, claim-aware, and rooted in what actually converts.
Google Merchant Center Product Studio: A Practical AI Workflow For Creative Refreshes
Product Studio reduces the creative bottleneck for background removal, scene generation, and video creation. Use it for testing and seasonal refreshes, not as a substitute for core PDP photography.
Performance Max AI Voice-Over: When To Opt Out, When To Keep It, And How To QA It
AI voice-over unlocks video placements without production cost, and works for functional, offer-led content. For premium brand campaigns or regulated categories, opting out is usually the better choice.
Google Merchant Center 360 Spins, 3D, And AR: When They Actually Help Conversion
Richer product views help when shape, texture, or fit uncertainty drives buyer hesitation. For commodity products, the production investment rarely pays back in measurable conversion lift.
Copilot Checkout And Brand Agents: What Ecommerce Brands Should Do Before This Becomes Standard
Copilot Checkout and Brand Agents compress the buyer journey and move persuasion earlier. Retailers who fix product data clarity, checkout friction, and trust signals now will be better positioned as these formats scale.
Universal Commerce Protocol Explained: What Retailers Need To Fix Before AI Agents Can Buy From Them
UCP pushes retailers toward machine-readable commerce infrastructure. Pricing consistency, clean variant data, and low-friction checkout are the operational gaps that most affect AI-agent routing decisions.
AI Max Final URL Expansion And Page Feeds: How To Control Landing Page Routing Without Killing Reach
Final URL Expansion increases reach and routing risk simultaneously. A well-maintained page feed with clear exclusions gives AI Max freedom to expand within a commercial URL universe without wasting spend on pages that were never built to convert.
First-Party Data For AI Campaigns: Audience Builder, CRM Hygiene, And Signal Quality
Automation raises the value of clean signals, not the opposite. CRM hygiene, qualified conversion imports, and margin-aware revenue values are the inputs that determine whether AI campaigns scale toward profitable growth or efficient waste.
App Consent Insights In Google Ads: How App Advertisers Should Diagnose Privacy-Driven Measurement Loss
App Consent Insights makes the consent-measurement gap visible at the account level. Here is how to diagnose poor consent coverage and prevent it from corrupting Smart Bidding signals.
Google Splits Consent Controls Between GA4 And Ads: What Marketers Need To Audit Before This Breaks Governance
GA4 and Google Ads now have independent consent configuration points. Teams that set up consent once and moved on are likely running misaligned settings. Here is the 8-point audit.
Google Tag Gateway With Fastly: When To Use It Instead Of Server-Side GTM
Tag Gateway and server-side GTM solve related but different problems. Here is the decision framework for choosing the right first-party measurement architecture for your account.
Direct GTM Integration For Google Ads Conversion Setup: The Fastest Safe Workflow For Marketers
A faster conversion setup path does not make incomplete implementation less likely. Here is the 12-point QA checklist to run before trusting any conversion and scaling budget.
AI-Qualified Call Leads In Google Ads: How To Move From Call Duration To Actual Lead Quality
Call duration is a terrible optimization signal for service businesses where a 90-second wrong number and a 90-second appointment look identical. AI-qualified call leads attempts to fix that.
Messages From Your Ads In Google Search: When Search Should Optimize For Conversations Instead Of Forms
Not every lead should go through a form. Here is when messages outperform forms, how to control quality, and what the decision matrix looks like for forms vs calls vs messaging.
Google Ads API v24 Cart Data: How eCommerce Teams Can Measure What Was Actually Sold, Not Just What Was Clicked
Standard conversion tracking measures the clicked product. CartDataSalesView shows what was actually bought. For retailers with cross-sell revenue, this gap in reporting matters significantly.
Microsoft Performance Max Landing Page Reporting: A Final-URL Workflow For Lead Gen And eCommerce Teams
Microsoft PMAX now surfaces final URL performance directly. Here is the audit workflow for finding bad routing, excluding weak pages, and scaling the destinations that actually convert.
PMAX Channel Timeline Chart: How To Spot Channel Drift Before CPA Or ROAS Falls Apart
Aggregate PMAX metrics hide channel drift. The timeline chart shows whether Search and Shopping share is shrinking while YouTube or Display grows — before the CPA spike shows up.
Google Ads Budget Pacing Rules 2026: Daily and Monthly Spend Explained
Google Ads can spend up to 2x your daily budget on a given day and caps monthly spend at 30.4x the daily budget. Here is how pacing works, what Limited by Budget means, and how to diagnose overspend.
Google Ads Conversion Tracking Audit Checklist: A Practical Account Review
Most Google Ads accounts have at least one conversion tracking problem. This checklist covers account setup, tag firing, GA4 alignment, CRM signals, and call tracking across lead gen and ecommerce.
GA4 vs Google Ads Conversion Mismatch: Why the Numbers Differ and What To Do
GA4 and Google Ads routinely report different conversion numbers. Most of the gap is expected. Some of it indicates a measurement problem. Here is how to tell which is which.
Enhanced Conversions Google Ads Checklist: Setup, Verification, and Common Mistakes
Enhanced conversions can improve match rates and bidding signal quality when implemented correctly. This checklist covers the setup, verification steps, and the mistakes that break it.
Offline Conversion Tracking for Google Ads Lead Gen: The Closed-Loop Setup Guide
Form fills tell you where someone started. Closed deals tell you where your budget actually worked. Here is how to build the offline conversion loop that connects them.
Google Ads Phone Call Tracking: What To Count, What To Ignore, and How To Avoid Bad Signals
Call tracking in Google Ads introduces more variables than most advertisers account for. Not all tracked calls should influence bidding. Here is how to set the right boundaries.
Performance Max Brand Exclusions: When To Use Them and When To Hold Off
Brand exclusions in Performance Max are not a default setting. They are a tool for specific situations. Here is the decision framework and test protocol for using them correctly.
Performance Max Search Cannibalization Audit: How To Find and Fix Campaign Overlap
PMax and Search campaigns often compete for the same queries. Some overlap is harmless. Some inflates cost and attribution. Here is the audit process to tell which is which.
Performance Max Incrementality Test: How To Measure Whether PMax Is Adding Real Demand
PMax reporting shows conversions. Incrementality testing shows whether those conversions would have happened anyway. Here is how to design and interpret the test.
Performance Max Profitable But Not Incremental: Why Strong ROAS Can Still Be Misleading
A profitable PMax campaign is not the same as an incremental one. Here is how to identify the difference and what it means for budget and strategy decisions.
Google Merchant Center Feed Audit Checklist: A Practical eCommerce Review
Feed quality determines where and how your products appear in Google Shopping and Performance Max. This checklist covers every major feed area and the problems most likely to suppress performance.
Product Title Optimization for Google Shopping and Performance Max
Product titles are the primary field Google uses to match products to search queries. Getting the structure right has more impact on Shopping performance than most bid changes.
GTIN, MPN, and Brand Errors in Google Merchant Center: How To Fix Product Identifier Issues
Product identifier errors in Merchant Center affect eligibility, placement quality, and Smart Shopping performance. Here is how to fix each error type correctly without fabricating data.
Google Shopping Feed Quality and AI Search: Why Product Data Clarity Matters More Now
AI-powered search surfaces understand products through feed attributes, product page content, and structured data. Clean, consistent product data across all three increases eligibility and visibility.
Import Google Ads Campaigns Into Microsoft Ads: What Works, What Needs Review, and What To Change
Importing from Google Ads is the fastest way to start in Microsoft Ads. It is also the fastest way to inherit every structural problem in your Google account. Here is the right way to do it.
Google Ads Consultant Cost: Pricing Models, What Is Included, and How To Evaluate Value
Management fees are the visible cost. Poorly managed ad spend is the invisible one. Here is how to evaluate what a Google Ads consultant should cost and what the fee should cover.
How to Run ChatGPT Ads: Setup, Campaign Structure, and Launch Checklist
ChatGPT Ads are matched to conversational context and intent — not keyword queries. Here is the complete setup guide, campaign structure, and pre-launch checklist.
How Much Do ChatGPT Ads Cost? CPC, CPM, Budgets, and Test Planning
OpenAI recommends starting bids of $3–$5 CPC and $60 CPM. Those are defaults, not benchmarks. Here is how to model your actual test budget from business economics.
ChatGPT Ads Targeting: How Context Hints Work and How to Structure Ad Groups
Context hints are thematic signals that describe conversations where your ad may be relevant — not exact-match keywords. Here is how to write them and structure ad groups.
ChatGPT Ads Conversion Tracking: Pixel, Conversions API, UTMs, and Reporting QA
ChatGPT Ads require the OpenAI Pixel or Conversions API plus static UTMs. Here is the complete tracking setup, QA checklist, and how to handle discrepancies between platforms.
ChatGPT Ads for Ecommerce: Product Feed Campaigns, Catalog Structure, and QA
ChatGPT Ads product feed campaigns require a minimum of 1,000 products and SFTP upload. Here is how to structure catalog filters, improve product data, and QA before launch.
ChatGPT Ads Examples: Ad Copy, Context Hints, and Landing Pages by Vertical
The strongest ChatGPT Ads name a specific situation, state a clear benefit, and link to a dedicated landing page. Here are working examples across five verticals.
ChatGPT Ads vs Google Ads: How to Allocate Budget and Test Incrementality
ChatGPT Ads and Google Ads serve different moments in the decision process. Here is how to protect existing search performance while running a controlled ChatGPT Ads test.
ChatGPT Ads Not Delivering: Troubleshooting Checklist and Common Fixes
ChatGPT Ads delivery failures have five root causes: account setup, billing, policy, campaign configuration, and tracking. Work through them in order before concluding the platform does not work.
ChatGPT Ads Policies: What Is Allowed, What Is Disallowed, and How to Stay Compliant
ChatGPT Ads policy is stricter than some advertisers expect. Here is what categories are allowed, what is disallowed, and how to write claims and landing pages that pass review.
ChatGPT Ads ROI: Measuring Performance Without Mature Benchmarks
There are no published ChatGPT Ads benchmarks. Set your own targets from business economics, measure qualified outcomes — not platform-level CPC — and use the 30-day scorecard.
ChatGPT Ads Management: What a Good Agency Should Actually Do
A good ChatGPT Ads agency manages strategy, context mapping, creative, tracking, and reporting — not just account creation. Here is how to evaluate providers before committing.
OpenAI Ads Manager Beta Setup Checklist for Advertisers
The most common launch problem is not creative quality — it is missing account, billing, review, or measurement readiness. Here is the full pre-launch setup checklist.
How Much Do ChatGPT Ads Cost? CPC, CPM, and Pilot Budget Planning
OpenAI recommends a starting max CPC bid of $3–$5 USD and a default max CPM of $60. Here is how to plan a ChatGPT Ads pilot budget around the question the test needs to answer.
ChatGPT Ads Targeting: Context Hints, Intent Mapping, and Campaign Structure
ChatGPT Ads targeting is built around conversational relevance, not keyword auctions. Here is how to structure context hints and ad groups around user intent.
ChatGPT Ads Conversion Tracking: Pixel, Conversions API, UTMs, and GA4 QA
ChatGPT Ads tracking needs Ads Manager measurement, static UTMs, GA4, and CRM checks working together. Dynamic UTM macros are not supported — here is the QA checklist.
ChatGPT Ads for Ecommerce: Product Feeds, Category Pages, and Buying Intent
ChatGPT Ads for ecommerce should be built around product discovery, comparison, and decision support — not a copy of Google Shopping. Here is the readiness checklist.
ChatGPT Ads for Lead Generation: Tracking Qualified Leads, Not Just Form Fills
ChatGPT Ads can support lead generation when campaigns are built around problem diagnosis and you track qualified leads through CRM — not just form fill volume.
ChatGPT Ads vs Google Ads: Where Each Channel Fits in the Funnel
ChatGPT Ads is not a replacement for Google Ads. Here is how to compare the two channels by intent, measurement maturity, and budget allocation for a structured pilot.
ChatGPT Ads Reporting: Metrics, Analytics, CSV Exports, and ROI Limits
Ads Manager reports impressions, clicks, CTR, CPC, CPM, and conversions. The gap is business interpretation — here is how to combine it with GA4 and CRM into a useful reporting framework.
ChatGPT Ads Creative Examples: Titles, Descriptions, Images, and Landing Pages
Good ChatGPT Ads creative should sound useful in the context of a conversation. Here are task-specific examples for ecommerce, lead gen, SaaS, local service, and education.
Why Are My ChatGPT Ads Not Delivering? Troubleshooting Checklist
ChatGPT Ads may not deliver due to account review, billing, ad rejection, weak relevance, or tracking mismatch. Isolate the level before rewriting creative.
ChatGPT Ads Policies and Approval: Compliance Checklist for Advertisers
Policy readiness should be handled before creative is submitted. Here is the compliance checklist covering claims, landing pages, restricted categories, and approval readiness.
How to Buy Ads on ChatGPT Without Wasting the First 30 Days
Getting access to Ads Manager Beta is only the first step. Here is how to launch with a structured test plan so the first 30 days produce learning, not wasted spend.
ChatGPT Ads 90-Day Pilot Plan: What to Test Before Scaling
A 90-day pilot gives enough time to set up measurement, test context hints, collect conversion data, and compare quality against other channels. Here is the full roadmap.
ChatGPT Ads and AEO: How Paid AI Search and Organic AI Visibility Work Together
ChatGPT Ads and AEO/GEO should be managed together but measured separately. Paid tests reveal which conversational intents deserve deeper organic content investment.
ChatGPT Ads Management Pricing: Agency Fees, Budget & Scope
ChatGPT Ads pricing has two components: media spend paid to OpenAI and a management fee. A useful proposal defines setup, context-hint strategy, creative, tracking, reporting, optimization, and testing.
ChatGPT Ads Consultant vs Agency: Which Management Model Fits Your Business?
A consultant offers direct senior access and faster decisions. An agency can include more specialist depth. The better choice depends on account complexity, internal capabilities, and who will actually do the work.
ChatGPT Ads Audit Checklist: How to Find Wasted Spend, Weak Context Hints, and Broken Measurement
A ChatGPT Ads audit should review account readiness, campaign objectives, ad-group focus, context hints, creative, landing pages, tracking, bids, budgets, delivery, and business outcomes.
ChatGPT Ads Landing Page Optimization: How to Turn Conversational Intent Into Conversions
The best ChatGPT Ads landing page continues the user's conversation. Match the page to the problem, comparison, or buying stage. State the answer above the fold, provide proof, reduce form friction, and track meaningful outcomes.
ChatGPT Ads for B2B SaaS: Campaign Structure, Demo Tracking, and Pipeline Measurement
B2B SaaS companies should structure ChatGPT Ads around customer problems, use cases, alternatives, integrations, and implementation questions. Track qualified meetings, opportunities, pipeline, and revenue — not only demo form fills.
Google Ads Benchmarks 2026: CTR, CPC, Conversion Rate, and Cost Per Lead by Industry
The 2026 WordStream/LocaliQ study of 13,000+ US campaigns found a 6.64% average CTR, $5.42 CPC, 8.18% CVR, and $66.69 CPL. Industry averages vary materially. Benchmarks show where to investigate, not what to target.
Google Ads Search Terms for AI Queries: What the Report Shows, What It Hides, and How to Audit Intent
For some AI-powered Google experiences, a reported search term may reflect inferred meaning rather than the exact user query. Treat these terms as directional intent signals and adjust negative keyword workflows accordingly.
Journey-Aware Bidding and Smart Bidding Exploration: How to Prepare and Test the New Controls
Journey-Aware Bidding helps Google learn from deeper lead-to-sale outcomes. Smart Bidding Exploration allows more flexibility to pursue additional demand. Both depend on trustworthy conversion data — fix CRM feedback before testing either.
Google Ads Bid Strategy Testing in 2026: A Practical Experiment Framework
Test a new Google Ads bid strategy only when there is a clear business hypothesis, enough conversion signal, a stable baseline, and a method for handling conversion lag. Judge results with qualified leads, profit, or revenue.
How to Measure PPC Performance When AI Controls the Auction
When AI controls targeting, bidding, and creative, PPC measurement should prioritize profit, incremental customers, blended acquisition efficiency, and conversion quality over platform attribution alone.
Performance Max Asset Group Theming: How to Use Seasonal AI Creative Without Fragmenting Learning
Performance Max asset group theming clones a high-performing group and applies a seasonal theme while preserving the original. Review every AI-generated asset, match themes to relevant products and landing pages, and avoid over-fragmenting learning.
Demand Gen Target ROAS Without a Conversion Threshold: Setup, Risks, and a Controlled Test Plan
Demand Gen may now allow Target ROAS without a visible conversion threshold. Eligibility and strategic readiness are different — a campaign with poor value data may be eligible but still a weak tROAS candidate.
Google Ads AI Transparency: What 'How This Ad Was Made' Means for Advertisers
Google Ads AI label settings let advertisers identify AI-generated or AI-edited assets. Google may also apply labels automatically in some cases. Build a creative register, human review workflow, and accurate disclosure process.
Google Ads Data Retention: What the 37-Month Rule Means and What to Export
Google Ads applies a 37-month retention period to granular performance statistics from June 2026. Higher-level data can remain for 11 years. Set up recurring exports before granular history expires.
Google Ads SMS Message Assets: Setup, Tracking, Lead Quality, and When to Use Them
SMS message assets let users start a text conversation from a Search or Performance Max ad. Treat messaging as a lead channel with response-time, consent, qualification, CRM, and measurement requirements.
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