# Restaurant Marketing: Local Search, Orders and Campaign Costs

> Source: https://qsr.pro/articles/qsr-digital-marketing-guide-2026
> Publisher: QSR Pro
> Last content update: 2026-10-02T07:23:58.822406+00:00


Accurate listings, useful feedback and measurable restaurant campaigns.

Published: 2026-03-19T07:55:33.786632+00:00
Updated: 2026-10-02T07:23:58.822406+00:00

By QSR Pro Staff

![Restaurant Marketing: Local Search, Orders and Campaign Costs](https://gadzwjyojqpwmxtgebnh.supabase.co/storage/v1/object/public/article-images/seo-refresh-marketing-20261001/d3c78c2e5b8d824c.webp)

*AI-generated illustration: QSR.pro.*

Accurate local listings help customers plan a visit. Campaign links, order records and defined costs help a restaurant assess the response to an offer.

*Platform references checked October 1, 2026.*

## Make the local listing useful

Google says local results depend mainly on relevance, distance and prominence: how well a business matches a search, how far away it is and how well known it is. Its [Business Profile guidance](https://support.google.com/business/answer/7091?hl=en) calls for complete, accurate information, including the address, business category and regular and special hours. Photos can show customers the food and setting before they visit.

For a restaurant group, check each location's listing against its own hours and photos. Google says more reviews and positive ratings can help local ranking alongside other factors. The guidance offers no review-count or star-rating threshold that guarantees a position.

## Ask for genuine reviews

Google provides a review link or QR code that customers can use to leave feedback. Reviews must reflect genuine experiences; Google's [review guidance](https://support.google.com/business/answer/3474122?hl=en) prohibits rewards for posting a review, changing one or removing a negative one. Invite customers to describe their experience in their own words.

Replies are public. A useful response can answer a question about an order or explain a service change. Google recommends clear, courteous replies and moving a complex customer issue to a private conversation without exposing personal information.

## Give each offer a traceable link

Google Analytics uses URL labels to identify campaign traffic. Its [campaign-link instructions](https://support.google.com/analytics/answer/10917952?hl=en) define `utm_source` for the referrer, `utm_medium` for the channel and `utm_campaign` for the promotion. For example, `utm_content` can distinguish two links in one email.

For a hypothetical lunch offer, those values might be `store_newsletter`, `email` and `lunch_combo`. Keep a campaign register with the labels, location, offer dates and destination link. Match spelling and capitalization because values are case sensitive.

## Record completed orders and refunds

Campaign labels identify traffic; purchase measurement needs order data. Google's [ecommerce documentation](https://developers.google.com/analytics/devguides/collection/ga4/ecommerce) describes a purchase event carrying items, transaction ID, value and currency, plus a separate refund event tied to the transaction.

If you use an ordering provider, check whether those events reach your analytics account. Place a test order through the campaign link. Compare its campaign label with the register, and its transaction ID, location, amount and currency with the order record. Test refund reporting too. Report visits and completed orders separately.

## Calculate the return with costs included

Return on ad spend, or ROAS, compares attributed conversion value with advertising cost. When that value is sales revenue, [Google's ROAS example](https://support.google.com/google-ads/answer/6268637?hl=en) calculates sales per advertising dollar.

Consider a hypothetical campaign credited with 100 orders and $1,200 in sales after discounts and refunds, excluding tax. At $200 in ad spend, revenue-based ROAS is 6 times spend, or 600%.

Suppose food, packaging, labor, processing fees and allocated overhead for those orders total $700, with no other costs omitted. Including advertising brings total costs to $900 and modeled profit to $300. Following Google's [return on investment (ROI) example](https://support.google.com/google-ads/answer/1722066?hl=en), profit divided by total costs gives $300 ÷ $900, or 33.3%. These are illustrative inputs, not restaurant benchmarks.

The 100 attributed orders do not establish how many purchases the advertising added. Google's [Conversion Lift](https://support.google.com/google-ads/answer/12003020?hl=en), available only to some accounts, uses a controlled experiment to measure incremental conversions, comparing groups that see ads with control groups that do not.

Category: [Marketing & Growth](https://qsr.pro/categories/marketing)