Marketing benchmarks for local businesses

Average cost for each click on your ad.

Cost to serve 1,000 ad impressions.

How closely daily spend tracks the target budget (ideal range 90-105%).

Percentage of allocated budget actually spent.

Percentage of people who clicked after seeing your ad.

Average number of times each person saw your ad (ideal range 1.5-3.0).

Percentage of target audience reached.

Percentage of available impressions your ads captured.

Percentage of impressions that resulted in a video view (typically 3s+).

Percentage of video views that watched to completion.

Percentage of people who stopped scrolling to watch your video ad.

Percentage of people who interacted with your content (likes, comments, shares, saves).

Percentage of visitors who scrolled through at least 75% of the page.

Average time a visitor spends on a page.

Percentage of visitors who leave after viewing only one page.

Average number of pages viewed per session.

Percentage of visitors who complete a desired action.

Average cost to acquire one conversion.

Average cost to acquire one lead.

Average cost to generate one booking (sim racing specific).

Percentage of users who started a form and completed it.

Percentage of users who started but did not complete a form.

Percentage of landing page visitors who convert.

Revenue generated per dollar of ad spend.

Lifetime value of a customer divided by cost to acquire them.

Total cost to acquire one paying customer.

Average total revenue generated per customer.

Average revenue per transaction.

Predictable monthly revenue from subscriptions. Benchmarks are context-dependent per business.

Total number of leads generated per month.

Score from 0-100 indicating lead readiness to buy.

Average time to first contact after a lead comes in.

Percentage of leads that become paying customers.

Percentage of total leads classified as high-intent / sales-ready.

Time until the largest visible content element renders.

Latency of user interactions (clicks, taps, key presses).

Measures unexpected layout shifts during page load.

Time from request to first byte of response from the server.

Total transfer size of all page resources.

Google Lighthouse mobile performance score (0-100).

Google Lighthouse desktop performance score (0-100).

Percentage of delivered emails that were opened.

Percentage of delivered emails that received a click.

Percentage of recipients who unsubscribed per email sent.

Percentage of SMS messages successfully delivered.

Percentage of delivered SMS messages that received a reply.

Percentage of nurtured leads that convert to customers.

Average Google Business Profile review rating.

Number of new reviews received per month.

Percentage of reviews that received a business response.

Average time to respond to a new review.

Percentage of pixel events that matched to a user identity.

Percentage of conversion events sent via Conversions API (server-side).

Percentage of conversions with UTM parameters preserved.

Percentage of expected tag/pixel fires that actually occurred.

Accuracy of user tracking across multiple domains in the funnel.

Percentage of visitors who accept tracking cookies.

Composite score indicating how fatigued the audience is with current creatives (frequency-based).

Number of distinct active ad creatives running simultaneously.

Percentage of ads performing above target CPA/ROAS.

Percentage of video viewers retained past the first 3 seconds.

Percentage of audience overlap between ad sets.

Performance ratio of lookalike audiences vs. broad targeting (1.0 = same performance).

Number of users in retargeting audiences.

Ratio of new to returning visitors. A balanced mix around 1.0-2.0 is ideal.

Click-through rate on awareness and prospecting campaigns.

Engagement rate on consideration-stage content and retargeting.

Conversion rate on bottom-of-funnel campaigns (retargeting, high-intent).

Percentage of users lost between funnel stages.

Percentage of total revenue that can be attributed to specific marketing channels.

Percentage of conversions with multi-touch attribution data.

Confidence level in the accuracy of attribution data.