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22 April 2026 · 11 min read

5 Google Ads Mistakes Killing Indian D2C Brands in 2026

After auditing 40+ Indian D2C Google Ads accounts in 2026, these are the five mistakes we see in 90% of them — and what to do instead.

Google AdsD2CPerformance Marketing

Navigating the competitive e-commerce landscape in India requires precision and an astute understanding of digital advertising. For D2C India brands, Google Ads is often a primary avenue for customer acquisition, yet it's also a common source of significant budget wastage. Our audit of over 40 Indian D2C Google Ads accounts in Q1 2026 revealed a striking commonality: approximately 90% of them were making the same five fundamental Google Ads mistakes D2C India businesses need to avoid. These errors, though prevalent, are often straightforward to rectify, typically yielding a 15–30% improvement in blended Return on Ad Spend (ROAS) within a week of implementation.

Key Takeaways

  • Strategic Performance Max Implementation: Avoid single-asset-group PMax campaigns; segment by margin, category, and intent.
  • SKU-Level Profitability Management: Actively exclude or deprioritise low-margin SKUs to prevent budget drain on unprofitable sales.
  • Accurate Performance Measurement: Isolate branded from non-branded search campaigns for clear, actionable ROAS insights.
  • Realistic View-Through Attribution: Adjust view-through windows to reflect genuine ad influence, typically 7 days for paid media.
  • Comprehensive Conversion Tracking: Integrate offline sales data into Google Ads to ensure the algorithm optimises towards all revenue.

1. Running Performance Max with Suboptimal Asset Group Strategy

Performance Max (PMax) has become the go-to campaign type for many Indian D2C brands, celebrated for its automation and broad reach across Google's inventory. However, its effectiveness hinges entirely on how it's set up. The most glaring error we consistently observe is brands launching PMax campaigns with a single, catch-all asset group containing their entire product catalogue. The assumption is that Google's AI will flawlessly parse this data and optimise accordingly. In reality, this approach often leads to inefficient budget allocation and diluted performance. Google's algorithms are powerful, but they require structure and clear signals to perform optimally.

The Fix: A robust asset group strategy is paramount. Instead of a monolithic approach, segment your asset groups based on critical business differentiators.

  • Margin Tier: Group products by their profitability. High-margin items can tolerate a higher Cost Per Acquisition (CPA) and should be prioritised. Low-margin products might require stricter budget caps or even exclusion.
  • Product Category: Create separate asset groups for distinct product categories (e.g., apparels, cosmetics, home decor). This allows for highly relevant ad copy, images, and audience signals for each category, improving ad relevance and click-through rates.
  • Customer Intent/Lifecycle: Differentiate between campaigns targeting new customer acquisition versus those aimed at remarketing or driving repeat purchases from existing customers. The messaging and budget allocation for each intent type will vary significantly.

Furthermore, it's crucial to feed each asset group only the audience signals that are most relevant to it. For instance, an asset group for high-end skincare should receive audience signals from users interested in luxury beauty, not general household items. This granular approach helps Google's PMax algorithm understand the nuances of your product offerings and target the right audience with the right message, leading to a much more efficient use of ad spend for your D2C India brand.

2. No Exclusions for Low-Margin Stock Keeping Units (SKUs)

One of the most insidious ways Google Ads can erode profitability for Indian D2C brands, especially within automated campaign types like PMax, is by heavily promoting low-margin products. We've witnessed scenarios where PMax, driven solely by conversion volume, allocates over 60% of a brand's budget to an SKU that converts frequently but offers a dismal 12% gross margin. This can lead to a seemingly excellent reported "ROAS 4" which, upon closer inspection, results in the brand actually losing money on each sale. This fundamental disconnect between advertising ROAS and actual business profitability is a critical oversight.

The Fix: Proactive management of your product feed is essential. Utilise the supplemental feed feature within Google Merchant Center to implement exclusion or deprioritisation rules for low-margin SKUs.

  • Exclusion: For products with particularly thin margins that offer no strategic value (e.g., foot-in-the-door products leading to higher-value purchases), consider excluding them entirely from advertised campaigns.
  • Deprioritisation: For products with acceptable but lower margins, you can adjust their bid strategies or assign them to asset groups with lower budget allocations. This could involve using a custom label in your feed to flag these products and then targeting them differently in Google Ads.

This isn't a one-time task. Market dynamics, supplier costs, and competitive pricing can change rapidly in the Indian e-commerce space. Therefore, it's imperative to re-run the profitability math quarterly and adjust your feed rules accordingly. Ensuring that your ad spend aligns with your business's profit goals is a non-negotiable for sustainable growth in D2C India.

3. Branded Search Campaigns Bundled with Non-Branded Search

This is arguably the single biggest contributor to distorted reporting and misguided optimisation efforts for D2C India brands on Google Ads. Branded search terms (e.g., "Adservex shoes," "Adservex kurtis") inherently have exceptionally high conversion rates and much lower CPAs because the user is already aware of your brand and has high purchase intent. Their ROAS typically ranges from 15–40. In contrast, non-branded search terms (e.g., "best running shoes India," "organic cotton kurtis") target users at an earlier stage of their journey, often with lower intent, resulting in ROAS typically between 1.5–3.

When these two distinct campaign types are blended into a single report, the high ROAS from branded search artificially inflates the overall average. This masking effect makes it impossible to accurately gauge the performance of your customer acquisition efforts through non-branded search, which is where true growth and new customer discovery happens. Brands often celebrate a "good" blended ROAS, unaware that their non-branded spend might be highly unprofitable.

The Fix: This adjustment is simple yet profoundly impactful.

  • Separate Campaigns: Create entirely separate campaigns for branded and non-branded search terms. This segmentation allows for independent budget allocation, bid strategies, and performance reporting.
  • Report Separately: Always review the performance of these campaigns in isolation. This provides a clear, unadulterated view of how effectively you are acquiring new customers (via non-branded search) versus capturing demand from existing brand awareness (via branded search).
  • Optimise Non-Branded: The non-branded ROAS is the real indicator of your brand's growth engine. Focus your optimisation efforts, A/B testing, and budget adjustments on improving this number. A healthy non-branded ROAS translates directly to scalable customer acquisition for your D2C India business.

4. Lack of Discipline in View-Through Conversion Windows

In the complex customer journey of Indian online shoppers, where research and browsing are extensive before purchase, the default 30-day view-through conversion window in Google Ads can be severely misleading. A view-through conversion attributes a conversion to an ad impression (where the user saw the ad but didn't click) if the user converts within a specified timeframe. A 30-day window often provides excessive assisted conversion credit, particularly for display or video ads that might have had only a tangential influence on a purchase made weeks later. This overly generous attribution can inflate reported ROAS metrics, leading to misinformed budget decisions.

The Fix: Implement a more realistic and disciplined approach to view-through attribution:

  • Set View-Through to 7 Days: For paid media reporting, narrow your view-through window to a maximum of 7 days. This closer proximity between ad impression and conversion provides a more accurate reflection of the ad's direct influence. For campaigns with a very strong brand focus, this could be adjusted slightly, but 7 days is a good general benchmark for performance.
  • Beyond Last-Click: While last-click attribution is the default, it offers a myopic view of the customer journey. Instead, actively use first-touch and time-decay attribution models side-by-side with last-click.
    • First-Touch: Highlights the channels that introduce users to your brand.
    • Time-Decay: Gives more credit to touchpoints closer in time to the conversion. Comparing these models helps you understand the full path to purchase and the value of different touchpoints, allowing for better strategic decisions beyond simply optimising for the last interaction. Understanding these models is vital for any D2C India brand aiming for holistic growth.

5. Ignoring Offline Conversions in Reporting

Many Indian D2C brands, especially those reliant on platforms like Shopify, track their online revenue meticulously. However, a significant portion of their actual sales often remains invisible to their Google Ads account. We frequently see situations where the reported Google Ads revenue accounts for only about 70% of a brand's total sales. The missing 30% typically comprises crucial revenue streams like:

  • Phone orders: Customers calling directly after seeing an ad.
  • WhatsApp sales: Increasingly popular in India, where customers engage directly with brands.
  • Cash on Delivery (COD) recoveries: Orders placed online but paid for offline, often requiring additional post-purchase engagement.

Google's algorithms are designed to optimise towards what they can measure. If these significant offline revenue streams are not fed back into the system, Google systematically underweights the channels and campaigns that are effectively driving these sales. This means you might be cutting budgets from highly effective campaigns simply because their online-only ROAS appears lower.

The Fix: Close the loop between your offline sales and your online advertising platforms.

  • Upload Offline Conversions Weekly: Set up a routine to upload offline conversions into Google Ads. This can be done manually via CSV, but for scale, consider automation.
  • Leverage Google Ads API: For larger D2C operations, integrating via the Google Ads API allows for automated, real-time or near real-time upload of offline conversions.
  • Third-Party Tools: Solutions like Hyros (or other Indian-centric CRM integrations) can effectively bridge this gap, unifying your online and offline attribution data.

By providing Google Ads with a complete picture of your revenue, both online and offline, the algorithm can make much more informed decisions, optimising your campaigns for true profitability. This holistic approach ensures that your Meta Ads and Google Ads reporting both reflect the actual impact on your bottom line, a crucial step for any scaling D2C India business.

The Audit Shortcut

If you're a founder or marketing head for a D2C India brand reading this and aren't sure where your Google Ads account stands, there's a quick, telling diagnostic you can perform:

  1. Pull the Search Terms report for your account over the last 90 days.
  2. Sort the report by spend in descending order.
  3. Review the top 50 search queries.

If more than 10% of your ad spend is allocated to search terms that do not accurately or relevantly describe your products or brand, you're likely facing an account hygiene problem before you even get to strategic optimisation. This indicates poor keyword targeting, inadequate negative keyword lists, or a PMax campaign operating with insufficient guardrails. Addressing these fundamental issues will often unlock significant performance gains even before you delve into more advanced strategies.

Frequently Asked Questions

### What is Performance Max (PMax) in Google Ads and why is asset group strategy important for D2C India brands?

Performance Max is an automated, goal-based campaign type in Google Ads that allows advertisers to access all of Google Ads inventory from a single campaign. For D2C India brands, a strong asset group strategy is crucial because it allows PMax to receive clear signals about which products, audiences, and offers to prioritise. Without this segmentation (e.g., by margin, category, or customer intent), PMax can waste budget by promoting low-profit items or targeting generic audiences, leading to inefficient ad spend.

### How can D2C brands identify and exclude low-margin SKUs from Google Ads campaigns?

D2C brands can identify low-margin SKUs by regularly calculating their gross profit per product. Once identified, these SKUs can be excluded or deprioritised within Google Ads by using custom labels in their product feed (via Google Merchant Center). These labels can then be used to create specific asset groups or campaign rules that either exclude the products or assign them lower bidding priority, ensuring ad spend is directed towards more profitable items.

### Why is separating branded and non-branded search campaigns so critical for accurate ROAS reporting in D2C India?

Separating branded and non-branded search campaigns is critical because these two types of queries represent fundamentally different user intents and yield vastly different ROAS figures. Branded search targets users already familiar with your brand, resulting in high conversion rates and ROAS. Non-branded search targets users discovering products, leading to lower but growth-driving ROAS. Blending them distorts overall performance metrics, making it impossible to accurately assess the effectiveness of new customer acquisition efforts and potentially leading to underinvestment in growth channels.

### What is a view-through conversion, and why should D2C brands in India adjust the default 30-day window?

A view-through conversion occurs when a user sees an ad but doesn't click it, then converts on the website within a specified time frame. The default 30-day window can over-attribute credit to ads that had minimal impact, especially in the browser-heavy Indian market. Adjusting this window to 7 days for paid media provides a more realistic representation of an ad's direct influence on a conversion, helping D2C brands make more informed budgeting decisions based on actual performance.

### How do offline conversions impact Google Ads optimisation for D2C businesses, particularly in India?

Offline conversions, such as phone orders, WhatsApp sales, or COD recoveries, represent a significant portion of total revenue for many Indian D2C brands. If these conversions are not fed back into Google Ads, the algorithm only optimises towards visible online sales. This means campaigns that drive substantial offline revenue might be prematurely paused or have their budgets reduced, as their online-only ROAS appears low. Uploading offline conversion data ensures Google's AI optimises for total business profitability, not just online-tracked transactions.

Conclusion

Mastering Google Ads is not just about launching campaigns; it's about continuous refinement and a deep understanding of market dynamics, especially in a vibrant and complex market like India. Avoiding these five common Google Ads mistakes D2C India brands often make can significantly transform your advertising efficacy, turning marketing spend into profitable growth. Simple fixes in asset group strategy, SKU exclusion, campaign segmentation, attribution windows, and offline conversion tracking can yield substantial ROAS improvements, often in a matter of days. Don't let easily avoidable errors stifle your brand's potential. If you're looking to audit your Google Ads strategy and unlock your true growth, reach out to Adservex for expert guidance and optimisation.

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