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About oddtusk
[ Location ]
HIG-31, BDA Colony, Jayadev Vihar,
Bhubaneswar, Odisha 751013, India
        
                 
[ Google Search Ads in numbers ]

Oddtusk uses 2026 match strategies, verified GA4 data, and weekly negative reviews for growth.

Brand campaign funded first. Non-brand structured by category. Competitor campaign for the comparison stage. DSA for long-tail coverage. All built on how Google Search actually works in 2026. Brands compounding paid with ecommerce SEO reduce blended CAC as organic authority grows.
4 campaign types
Brand, non-brand, competitor, Dynamic Search Ads

Oddtusk manages four distinct Search campaign types: Brand, Non-brand, Competitor, and DSA, with dedicated budgets. This strategic separation optimizes for varying intent levels, maximizing high-converting brand searches while efficiently capturing long-tail and competitor-comparison traffic.

30 -40%
CPC reduction from Quality Score improvement (5 to 8)

Improving Quality Score from 5 to 8 slashes CPCs by 40% without increasing bids. Oddtusk conducts monthly audits of CTR, relevance, and landing pages to eliminate the "tax" of poor Quality Scores.

30 conversions
Minimum per 30 days before Target ROAS is activated

Smart bidding needs 30-50 monthly conversions to function. Oddtusk launches with Maximize Conversion Value to build data, then graduates to Target ROAS once GA4-verified history exists, ensuring the algorithm can bid intelligently for growth.

[ How we build Google Search campaigns ]

Campaign architecture, match type strategy, RSA copy, smart bidding and GA4 conversion import


01

Campaign architecture: brand, non-brand, competitor, DSA

Oddtusk structures four campaign types: Brand, Non-brand, Competitor, and DSA, with separate budgets. This architecture maximizes high-converting traffic, uses margin-aware targets, and employs automated crawling to capture long-tail queries that manual keyword research often misses. For ecommerce brands with large catalogs, DSA coverage of product-level queries complements the internal linking architecture we build for organic SEO.
02

Match type strategy and negative keyword architecture

Oddtusk uses Exact match for high-converters, Phrase for controlled reach, and Broad match for intent-based expansion. Weekly negative reviews across search reports eliminate irrelevant, low-intent traffic, ensuring the budget is reserved only for commercially valuable queries. The semantic intent mapping behind 2026 Broad Match mirrors how we structure keyword topicality in organic search programmes.
03

RSA copy, Quality Score, and ad extensions

Smart Bidding requires verified GA4 data to optimize effectively. We launch with Maximize Conversion Value to build the necessary 30-50 monthly conversion signals. Once established, we graduate to Target ROAS based on specific product margins. This data-first approach prevents budget waste during the initial learning phases of your campaign. The E-E-A-T signals that strengthen organic authority also inform how we write high-credibility RSA headlines.
04

Smart bidding activation and GA4 conversion import

GA4 purchase events with full enhanced ecommerce parameters are imported into Google Ads and verified before any Smart Bidding strategy is activated. New campaigns launch on Maximise Conversion Value to build the 30-conversion minimum needed for Target ROAS to function. ROAS targets are set per campaign based on product category margin not as a single number across all campaigns. Conversion windows are reviewed against the brand's actual consideration cycle. Bid strategies are reviewed monthly against impression share, average position, and conversion volume to identify campaigns ready to graduate to tighter target-based bidding. For brands also running AEO and GEO optimisation, GA4 data informs both paid and organic performance review in unified reporting.

[ Common queries ]

Everything you need to know about Google Search Ads for Indian ecommerce.

2026 Broad match uses language models to match search intent rather than specific words. A "women's running shoes" keyword may trigger "athletic trainers" without direct overlap. This shift from 2020 synonym-matching requires higher conversion data and stricter negative keyword management to prevent the wasted spend typical of many modern Indian accounts. This intent-based expansion is conceptually similar to how semantic SEO maps topical relevance rather than exact keyword matches.

SKAG (Single Keyword Ad Group) offered maximum control until 2020. In 2026, RSA formats and Smart Bidding make theme-based clusters (STAG) more effective for most campaigns. oddtusk utilizes theme-based structures for general search, reserving high-granularity SKAGs only for priority branded or product campaigns where specific bid control still yields measurable advantages.

RSAs require 15 headlines for Google to test automatically. Most brands fail by using generic variations of the same message. We write headlines in distinct categoriesproduct, benefit, trust, and CTA. This provides unique data points for Google to combine, resulting in higher CTR and better Quality Scores than repetitive, generic copy. The same content strategy thinking we apply to organic content informs how we structure headline angles for RSAs.

Quality Score (1-10) measures ad relevance, expected CTR, and landing page experience. Higher scores directly lower your effective CPC for the same ad position. Improving from 5 to 8 can slash costs by 40%. We audit this monthly because a low score acts as a hidden tax on every click. Strong landing page experience is the same dimension we optimise through technical SEO audits for organic performance.

DSA crawls your site to auto-generate ads based on page content, bypassing manual keyword targeting. Large catalogs with thousands of SKUs need to capture long-tail queries that manual research misses. Success depends on high-quality product page titles, as Google uses these to generate headlines and landing page destinations. This is why strong ecommerce SEO and well-optimised product page titles directly improve DSA performance.

Smart Bidding uses machine learning to set auction-time bids based on user signals. It requires 30-50 monthly conversions to function intelligently. We use "Maximize Conversion Value" initially to build this history, then transition to "Target ROAS" once GA4-verified data exists, setting targets based on individual product category margins. GA4 conversion import. ROAS targets are set per campaign based on product category margin.

Bidding on competitors is legal and effective for challenger brands. While conversion rates are lower than branded search, the traffic quality is high, as buyers are in the comparison phase. We require custom landing pages designed for comparison intent to ensure intercepted traffic doesn't bounce back to the competitor. For B2B brands, competitor keyword campaigns combined with organic topical authority create a powerful dual-channel interception strategy.

Search and Shopping ads complement each other. Shopping captures visual intent with images and prices, while Search captures research-based queries. Running both increases your total real estate on the search results page and total impression share. See our dedicated Shopping service for our approach to product feeds and campaign management. Google Shopping Ads service for the product feed and Shopping campaign approach.