What is the difference between broad, phrase, and exact match on Quick Commerce?

Exact match shows your ad only for the precise keyword. Phrase match allows your ad to show when the keyword appears within a longer search. Broad match shows your ad for any related search, including synonyms and tangentially related terms — which often leads to waste.

Which match type should I use for Quick Commerce ads?

Start with exact match for your top 10-20 keywords. After 2 weeks, review search term reports and selectively add phrase match for terms showing good conversion data. Use broad match only with strict negative keyword lists and tight budget caps.

How many negative keywords do I need for broad match?

Minimum 50 negative keywords for any broad match campaign on Quick Commerce. Build your list from search term reports — common negatives include competitor brand names, irrelevant categories, and size/variant mismatches. Review and expand the list weekly.

Why does broad match have lower CPC but worse ROAS?

Broad match triggers for loosely related searches with lower competition (hence lower CPC), but these searches have much lower purchase intent for your specific product. The conversion rate drops so significantly (2-6% vs 8-15% for exact) that the effective cost per order is actually higher.

Does match type affect Quality Score on Quick Commerce?

Yes. Exact match keywords maintain 2-3 points higher Quality Score than broad match because the ad-to-search relevance is much stronger. Higher Quality Score means lower CPC, so exact match compounds its advantage through both better conversion rates and lower costs.

Keyword Match Types: Broad, Phrase, Exact Explained

Last updated: March 2026

What Are Keyword Match Types?

Match types control which shopper searches trigger your ads. Choosing the right match type is the difference between showing your ad to buyers who want your product and showing it to people searching for something completely different.

Q-commerce platforms support three match types: exact, phrase, and broad.

The Three Match Types Explained

Exact Match

Your ad shows only when a shopper types the precise keyword you're bidding on.

Keyword: "almond butter" Triggers for: "almond butter" Does NOT trigger for: "peanut butter", "almond butter organic", "best almond butter"

Exact match gives you maximum control and delivers the highest ROAS — typically 6-10x on Q-commerce platforms. The tradeoff is limited reach.

Phrase Match

Your ad shows when your keyword appears as part of a longer search query, in the same word order.

Keyword: "almond butter" Triggers for: "almond butter 200g", "organic almond butter", "buy almond butter online" Does NOT trigger for: "butter made from almonds", "almond spread"

Phrase match extends your reach while maintaining relevance. ROAS typically lands at 4-7x — lower than exact but with significantly more volume.

Broad Match

Your ad shows for searches that the platform considers related to your keyword — including synonyms, related terms, and loose associations.

Keyword: "almond butter" Triggers for: "peanut butter", "nut spread", "healthy breakfast spread", "almond milk"

Broad match delivers the most reach but the least control. It is the number one source of ad waste on Q-commerce platforms, responsible for up to 15% of total budget waste across brands that use it without guardrails.

Performance Comparison Table

Dimension	Exact Match	Phrase Match	Broad Match
Reach	Low	Medium	High
Relevance	Very high	High	Low to medium
Typical ROAS	6-10x	4-7x	2-4x
Typical CTR	3-6%	2-4%	1-2.5%
Waste risk	Minimal	Low	High
Best for	Hero SKUs, proven converters	Expanding reach on winners	Discovery only (with strict caps)
Negative keywords needed?	Rarely	Sometimes	Always
Quality Score impact	Highest	Medium	Lowest

How Match Types Affect CPC and ACOS

Your match type choice directly impacts what you pay and your efficiency:

Match Type	Average CPC	Conversion Rate	Effective CPA	Typical ACOS
Exact	₹5-15	8-15%	₹35-180	10-20%
Phrase	₹4-12	5-10%	₹40-240	15-28%
Broad	₹3-10	2-6%	₹50-500	25-60%+

Broad match looks cheaper per click, but the lower conversion rate often produces higher ACOS and worse ROAS. The cheapest click is not the most profitable click.

Platform-Specific Match Type Behavior

Blinkit

Blinkit supports all three match types with relatively granular control. Their search term reports are detailed enough to identify exactly which queries triggered your ads — making it easier to optimize match type selection. Blinkit's exact match is strict (minimal close variant expansion), which is ideal for controlling spend. See our Blinkit keyword optimization guide for detailed tactics.

Instamart

Instamart supports exact and phrase match well. Their broad match implementation tends to be more aggressive than Blinkit's — meaning more irrelevant triggers and higher waste risk. If using broad match on Instamart, keep daily budget caps very tight and review search term reports twice weekly. See Instamart keyword match type analysis for platform-specific data.

Zepto

Zepto's ad platform is newer and match type support is still evolving. Exact match works reliably. Phrase and broad match may behave less predictably than on Blinkit. Test carefully and monitor search term reports closely during the first 2 weeks on any new match type. See the Zepto advertising guide for full Zepto strategy.

The Recommended Match Type Strategy

Week 1-2: Exact match only on your top 10-20 keywords. Gather conversion data with minimal waste risk.

Week 3-4: Promote keywords with strong exact match performance to phrase match. Keep exact match running alongside phrase match — they'll capture different queries.

Month 2+: Consider controlled broad match for discovery — but only with:

A comprehensive negative keyword list (50+ terms minimum)
Daily budget caps at 20% of total campaign spend
Weekly search term report reviews to catch irrelevant triggers

Never: Run broad match without negative keywords. This is the single most expensive mistake brands make on Q-commerce platforms.

Negative Keywords: The Essential Companion

Negative keywords prevent your ads from showing on irrelevant searches. They are non-negotiable for any campaign using phrase or broad match.

Match Type in Use	Recommended Negative Keywords
Exact only	0-10 (minimal need)
Phrase match	20-50
Broad match	50-100+

Build your negative keyword list from search term reports. Common negative patterns for Q-commerce:

Competitor brand names (unless running conquest campaigns)
Irrelevant categories triggered by broad match
Size/variant mismatches ("500ml" when you only sell "200ml")

Match Types and Bid Management

Your bid management strategy should differ by match type:

Exact match: Bid aggressively — these are your highest-converting keywords with the best Quality Score
Phrase match: Bid at 70-80% of your exact match bid — lower conversion rate requires lower cost basis
Broad match: Bid at 40-60% of your exact match bid — and set strict CPA caps

This tiered bidding approach prevents broad match from consuming budget that exact match could use more efficiently. Pair with dayparting to further concentrate broad match spend during peak-conversion windows only.

Get Your Match Types Audited

Most brands run the wrong match type on 30-50% of their keywords. Get a free audit — Ladya identifies match type mismatches and calculates the budget being wasted on poorly matched keywords across Blinkit, Zepto, and Instamart.