Google Ads or Facebook Ads? How to choose where to invest your online store's budget

The difference between Google Ads and Facebook Ads: start from the buying context

In a search like “adjustable ergonomic chair”, the person gives you a clue about their need. A relevant ad can lead them to an available product, with a clear price, specifications and delivery. This context makes Google Search interesting for capturing intent that has already been expressed.

In a Facebook or Instagram feed, the ad appears while people are consuming content. The product must win attention and quickly explain why it deserves consideration. A demonstration, a recognisable use or a clear comparison can open a commercial conversation the person wasn't looking for at that moment.

This difference helps with orientation, but it doesn't fully describe the platforms. Google Ads also includes visual or video distribution. Meta can bring direct purchases, including from people who already know the category or the store. Don't automatically equate Google with “ready customer” and Facebook with “curious visitor”.

What we compare when we say Google Ads

Search means campaigns that can show ads in the context of searches. Shopping uses product information, and Performance Max is a campaign type that can access multiple Google channels. Choosing a platform is therefore not the same as choosing a single ad type. Google explains the campaign types and their roles.

When you read a report, ask to see which campaigns and products contributed to the result. An average that mixes people searching for the store's name with people discovering the product for the first time can hide important differences.

What we compare when we say Facebook Ads

In this guide, the phrase “Facebook Ads” refers to promoting the store through the Meta ecosystem, with an emphasis on Facebook and Instagram. The ad, the objective, the audience and the placement must be viewed together. A post boosted for engagement is not the same commercial test as a campaign built for sales.

Meta presents choosing campaign objectives and Advantage+ sales campaigns separately. The existence of automation doesn't remove responsibility for the promoted offer, the quality of the creative materials and the measurement of purchases.

Google Ads vs Facebook Ads: the comparison that is useful for your store

The table below describes criteria for analysis. It is not a ranking of the platforms and it does not contain assumed average costs for any market.

The same product can have arguments for both channels. A lamp can be searched for by size and colour temperature, but it can also be discovered in a video showing the atmosphere of a room. The initial choice depends on the evidence and resources available now.

When it makes sense to start with Google Ads

Google Search deserves early evaluation if people know the category, phrase relevant searches and can find in the store an offer close to what they ask for. Standardised products, identifiable models and concrete needs allow a more direct analysis of the link between the search and the page.

Verify demand before you assume it

Gather the phrases customers use in messages, the store's internal search and existing orders. Separate product names from the problems they solve. “Model X filter” and “how to get rid of the smell of water” express different contexts, even if they can lead to the same category.

In Keyword Planner you can analyse ideas and estimates for your target market. The forecasts are indicative and can differ from results; Google explains the influence of budget, seasonality and history in the forecasts documentation. Don't turn the estimated number of searches into a promise of orders.

If you have existing campaigns, inspect the search terms available and the products bought. A phrase with many clicks can attract comparisons or information, without the intent you assume. Ask for concrete examples of searches, not just a list of configured keywords.

Check whether the offer can support the click

Someone searching for a model can quickly compare total price, stock and delivery. You don't always have to have the lowest price, but the difference must be explained. Included installation, verified compatibility or real availability can matter, if they are relevant and true.

For Shopping, the product data in Merchant Center plays a central role. A feed is the structured source with information such as title, price, image and availability. Google's Shopping documentation explains how product data is used to show ads. A large catalogue with unclear information is not automatically an advantage.

Don't confuse Performance Max with Shopping

Performance Max can use inventory from multiple Google channels, not just product displays in search. That changes how a comparison with Meta should be read. Check the objectives, materials, product data and available reporting, according to the official Performance Max overview.

If you want to assess the right structure for your store, BlueAds Google Ads services can be the starting point for a conversation about demand, products and the acceptable cost of orders.

When it makes sense to start with Facebook and Instagram Ads

Meta deserves early evaluation when the product's benefit is better understood through presentation than through a searched name. It can be about how it's used, how it looks in a real context or what difference it makes compared with an alternative.

That doesn't mean the product must be cheap or bought on impulse. A high-priced item may need more interactions, explanations and comparisons. The ad can start this process, and the page must continue it coherently.

You have a visual argument, not just a photo

Imagine a kitchen organiser. A photo of the product on a white background shows the object. A demonstration in a drawer explains the dimensions, the use and the benefit. Don't assume, though, that every video is better than an image; what matters is what information reaches the right person.

Prepare a few distinct directions: how the product is used, a real problem it solves, details of craftsmanship or an answer to a frequent question. Changing the background colour doesn't necessarily test a new commercial argument.

The landing page must keep the promise. If the ad shows a complete set and the page shows the price of a single component, you can get clicks and distrust in the same campaign.

You can support the production and the learning

Include in the budget the photography, filming, editing and the time needed for revisions. These resources are part of the test, even if they don't appear on the platform's invoice. A campaign with insufficient materials may be limited by execution, not by the audience's potential.

For stores with many products, catalogue ads can personalise how products are presented based on the signals available. Meta describes this feature in the Advantage+ catalog ads guide. The quality of the catalogue and the eligibility of the setup must be verified; don't assume automation corrects wrong data.

Evaluate purchases, not the popularity of the ad

Comments can indicate interest, but they can also reflect confusion. Many reactions don't compensate for a lack of sustainable orders. Look at what happens after people enter the site and at repeated questions.

In a conversation about Facebook Ads campaigns managed by BlueAds, put on the table the product, the margin, the materials available and the commercial result you are tracking. These offer a more useful basis than a personal preference for a platform.

Seven questions to answer before you choose a budget

1. For which products do you want to get orders?

Don't necessarily start with the whole catalogue. Choose a category with stock, good information and economics you understand. Products with a low margin, many returns or unstable availability can consume budget without supporting growth.

Write down the reason for choosing each priority product. “It already sells and we know why” is a different hypothesis from “we have a lot of stock and want to clear it”. Both can justify a campaign, but they call for different objectives and limits.

2. Is the customer searching for the solution or does it need to be discovered?

Look for evidence in customers' phrasing and in the data available. The absence of searches for your brand doesn't mean the absence of demand for the category. Likewise, the existence of many informational searches doesn't confirm a market that can be reached profitably.

For a new category, also check the language of the problem, not just the commercial name invented by the manufacturer. People can have the need before they know the name of the solution.

3. How much of the order remains before advertising?

Start from net revenue and subtract the cost of the products, the shipping paid, processing, packaging and the other relevant variable costs. Include the effect of discounts and returns. What remains must contribute to advertising, fixed costs and profit.

A channel that brings larger orders isn't automatically better if it predominantly sells products with low contribution. Also analyse the composition of the basket, not just its value.

4. Can the store turn interest into a purchase?

Test the product and checkout on a phone. Check the total price, payment methods, delivery and error messages. A faulty flow can make both channels look weak.

If you need work on the platform, BlueAds services for Shopify stores provide context for a conversation about implementation. Changing platform doesn't replace identifying the concrete obstacle.

5. What resources can you provide consistently?

Google can require work on product data, pages and campaign structure. Meta can require a rhythm of visual production and testing of arguments. Both need an offer, measurement and analysis.

Don't compare only the management fee. Ask for the list of resources needed, who produces them and what happens when they must be updated. The media budget is the amount paid to the platforms; the total budget also includes preparing and running the campaigns.

6. How long does the decision take and when do you collect payment?

An urgent spare part and an expensive sofa can have different buying rhythms. The evaluation period must reflect them. For cash on delivery, separate the order placed from the collection; for returns, wait a sufficient period before drawing financial conclusions.

Plan your cash: paying for ads and for the supplier can come before collection. A campaign that looks promising in the report can create difficulties if the store can't finance the additional orders.

7. What information are you missing for the next decision?

You may not know whether people search for the category, whether the demonstration convinces or whether the total price blocks purchase. Choose a test that clarifies this uncertainty. “Let's see which platform works” is too vague to interpret the result.

Before launch, note the hypothesis, the period, the maximum spend, the data source and the condition for the next step. You can change the plan when a real problem appears, but keep the reason in the log.

The calculations that change the choice: clicks, orders and contribution

Hypothetical example 1: the cheaper click doesn't mean the cheaper order

You compare two tests over a completed 30-day period. For the exercise, orders are reconciled in a shared report, with no overlap between channels. All orders are kept by customers. These conditions simplify the example; they are not guaranteed in real reports.

Cost per click = media spend / clicks. Media cost per order = media spend / orders. Meta has the cheaper click in this example, but the higher cost per order. It does not follow that Google is generally superior.

If each order belongs to a distinct session, the session conversion rate is 40 / 1,000 × 100 = 4% for Google and 30 / 2,000 × 100 = 1.5% for Meta. The denominator is the number of measured sessions, not of clicks or users. The differences between click and session must be investigated, not erased from the comparison.

Cost per order doesn't tell the whole story either. Check the value, the contribution and the proportion of new customers. Two orders with the same advertising cost can have different economic effects.

Hypothetical example 2: calculate how much you can pay per order

For a category analysed over a completed month, the average net order value is 300 RON, excluding VAT. The cost of the products is 165 RON, and the other average variable costs are 30 RON, including the estimated effect of returns. All values use the same accounting scope.

Contribution before advertising = 300 − 165 − 30 = 105 RON/order. The contribution margin is 105 / 300 × 100 = 35%. If you want to keep 45 RON for fixed costs and profit, the working ceiling for advertising is 60 RON/order.

ROAS is the ratio between the revenue attributed to ads and the advertising spend. For the same net basis, the ratio corresponding to the chosen ceiling is 300 / 60 = 5. The simplified limit that consumes the entire contribution is 300 / 105 ≈ 2.86, with no reserve for fixed costs and profit.

These values are not universal targets. If the platform reports revenue including VAT or shipping, and your calculation uses net product revenue, align the bases before comparing. Don't mechanically enter the number five as a goal in an account with other definitions.

Hypothetical example 3: include the cost of preparing the test

You have 6,000 RON for a 30-day test. You allocate 4,000 RON for media, 1,000 RON for creative materials and 1,000 RON for setup and management. The test produces 50 retained orders, from 40 new customers and ten existing ones.

The media cost per order is 4,000 / 50 = 80 RON. The total cost of the test per order is 6,000 / 50 = 120 RON. If you allocate the whole test spend to acquiring new customers, the cost per new customer is 6,000 / 40 = 150 RON.

This is an explicit allocation convention, not a perfect measurement of each activity's contribution. The materials can be reused later, but they must be paid for now. Don't compare a channel evaluated only by media with another evaluated by all costs.

How to split the budget between Google Ads and Facebook Ads

Start with the amount you can sustain for the duration of the test, including its preparation. Separate advertising from the production of materials, management and any site fixes. Then define the main question: can you attract orders for a category with existing demand, or must you first demonstrate the product's value?

Choose a sufficiently focused starting point

A small budget split across many categories, audiences and campaigns produces fragments that are hard to interpret. You can start with one category, one offer and the channel that best fits your hypothesis. There is no obligation to test both platforms at the same time.

If there is relevant demand and the offer is competitive, Google can be the first test. If the differentiation shows best in a demonstration and relevant searches are limited, Meta can be the first test. The choice is provisional: the commercial results and the limits observed set the next step.

Don't turn an initial split into a permanent rule

An equal distribution of money doesn't guarantee a fair comparison. Channels can have different available volumes, preparation costs and buying times. No proportion found in an article can replace this information.

Decide beforehand which result justifies keeping the investment, which problem justifies a correction and what maximum loss you can accept. Don't wait for the budget to run out if you discover a non-functioning checkout or wrong measurement. At the same time, don't reject a channel after a few visits without orders.

Also evaluate the next money you invest

A channel can have good results at low volume without being able to absorb the whole investment profitably. Available demand is finite, and expansion can bring less suitable users. Track the effect of scaling on retained orders and contribution, not just the account's historical average.

Keep the option of not spending the whole amount. If stock, margin or the product page don't support the campaign, fixing them can be worth more than hurriedly moving the money to the other platform.

Four scenarios for online stores

The following scenarios are hypothetical. They show how you phrase an initial choice, without promising results for an entire industry.

1. You sell products searched for by brand and model

You have standardised products, and customers compare availability, price and delivery. A Google test on in-stock products and relevant searches is a reasonable hypothesis. But check the contribution of each category: popular products can attract traffic that becomes too expensive for the available margin.

If users reach the product but the offer loses against the alternatives, changing the platform doesn't correct the problem. Meta can later add demonstrations, bundles or differentiating arguments, if these exist in reality.

2. You sell visual products with an easily demonstrated difference

A decor item transforms a room, an accessory solves a problem, and a garment has a distinctive cut. Meta can help present the product in a context the customer understands quickly.

Test different arguments, not just different colours of the same visual. For example, practical use and aesthetic result are two distinct hypotheses. If there are also relevant searches for the category, Google can complete the test. A photogenic look doesn't prove on its own that people will buy.

3. You have a large catalogue, with different margins and stock

Don't start from the idea that all products deserve the same exposure. Separate the categories by contribution, availability and commercial advantage. A correct catalogue is useful both for Shopping and for Meta ads with products, but eligibility and setup must be verified separately.

Start with a coherent selection. If the products that bring revenue are precisely those with high returns or low contribution, a good aggregate ROAS can hide a poor choice. Category analysis must accompany channel analysis.

4. You are introducing a new product, with a long purchase decision

You need explanations, demonstrations and answers to objections. Meta can support discovery, and Google can capture searches about the problem, the category or the brand. The journey can include both channels before an order.

Prepare pages that answer real questions and set an evaluation period compatible with the decision time. Don't declare the channel that gets the last click the winner without examining the whole journey and the limits of the available data.

How to compare results without counting the same order twice

Start with the store's records: orders, cancellations, returns, net revenue and new customers. The platforms offer information about how results are attributed to ads, but their reports are not a shared order register.

Check the purchase event and its value

An order must send the right information: identifier, value and currency. In GA4, the transaction ID helps deduplicate purchase events for web flows; the implementation must be verified, not assumed. The Google Analytics documentation explains how this identifier is used.

Also check which actions are actually used for optimisation. In Google Ads, the distinction between primary and secondary conversions matters, and custom goals have particularities. A setup that encourages intermediate actions may not track the desired commercial result. See Google's explanation of conversion actions.

Align the period and the reporting rules

Compare the same currency, the same revenue basis and compatible periods. Note the attribution windows and whether a report includes contributions after viewing an ad. Google and Meta can attribute the same order to their own campaigns; adding the two totals can overestimate the real number of orders.

There is also a delay between interaction and purchase. The last days of a report can have recorded spend but conversions that will appear later. Google explains this lag. An evaluation made too early can penalise especially products with a slow decision.

Separate existing demand from acquiring new customers

Analyse separately, where the data allows, brand searches, generic searches, existing customers and new ones. An account that sells mainly to people who are already convinced can't be compared simplistically with one used to expand the customer base.

The same applies to remarketing: its results don't automatically represent the performance you will get on a new audience. Don't stop discovery activities just because returning to the site seems more efficient in the attribution report.

Keep a conclusion proportional to the data

An improvement observed after launching a campaign doesn't prove on its own that advertising caused all the additional orders. Promotions, seasonality and other traffic sources can contribute. Incrementality tests can help when volume and implementation allow them, but a small store shouldn't claim a precision it doesn't have.

Use the commercial records and the platform reports together. Respect the applicable consent requirements; for Google products, also check the EU user consent policy. Incomplete data is a limit on interpretation, not a reason to invent certainty.

A practical plan for the first 30 days

This calendar organises the test. It doesn't promise that 30 days will produce enough orders for any store or category.

Days 1–5: prepare the decision

Choose the category, check the stock and calculate the contribution per order. Test buying on mobile, the event values and the reporting. Prepare the materials, the landing page and the catalogue, if you will use it. Write the hypothesis in one sentence: who buys, why, and through what type of interaction you hope to bring them to the site.

Note the total budget, the media portion and the evaluation criteria. If there are important errors, extend the preparation. Launching on a fixed date isn't more important than the buying process working.

Days 6–12: launch an interpretable test

Start with a structure you can track and with relevant destinations. Check delivery, spend, the searches or materials that bring traffic and on-page behaviour. Immediately correct technical problems or obvious mismatches.

Don't change the offer, page, materials and structure at the same time just because one day had poor results. Keep a log of interventions: what you changed, when and why. Otherwise, you will see a difference in the report without being able to explain what may have contributed to it.

Days 13–21: diagnose the blockage

A lack of relevant traffic, a lack of orders and a lack of profit are different problems. First check measurement, then the fit between audience, message and offer. Compare the promoted products with those actually bought and track cancelled orders.

Choose a change justified by observations: a creative argument, a product selection, delivery information or a more relevant destination. Don't assume every difficulty calls for a different channel.

Days 22–30: decide what is worth continuing

Pull together the spend, retained orders, contribution and new customers, taking delays into account. Decide between continuing, correcting, cautious expansion or stopping. For each choice, write the reason and the information that is missing.

If the volume is insufficient, the conclusion can remain provisional. Extend only if you have a viable hypothesis and available budget; don't turn the extension into unlimited spending. Testing the second channel makes sense when it clarifies a distinct commercial question.

Decision matrix: where to start

The matrix proposes starting points, not universal rankings. Document what you observe and update the choice when new information appears.

Checklist before you invest

• I have chosen the products and know their contribution after variable costs.
• The budget includes media, materials and management.
• The offer and delivery terms are clear on mobile.
• A test order confirms that checkout and measurement work.
• I know whether I'm testing existing demand, discovery or customers coming back.
• I have materials and information suited to the chosen channel.
• I compare retained orders and revenue on the same basis.
• I have set the spending limit and the evaluation moment.
• I don't automatically add up the conversions reported by platforms.
• I can explain what result would change the initial decision.

Frequently asked questions about Google Ads and Facebook Ads

Choose the channel that can support the next good decision

Google Ads or Facebook Ads? The useful answer starts with the products, the demand and the contribution per order. Choose a hypothesis, prepare the execution and measure what happens in the store. Expand the investment when the results and the operational capacity support it.

Want to work out where to start for your store? Talk to the BlueAds team about products, budget, measurement and goals. A good analysis should show you what is worth testing and what must be fixed before spending more.