How do we interpret a rise in directions requests when actual visits have not increased?

Interpret directions requests alongside independently measured visits, checking definitions, coverage and consistent periods without claiming causal impact.

Local Seo
6 October 2026Updated 06 Oct 20268 min readBukhosi Moyo

Quick Answer

A rise in directions requests shows more recorded requests, not confirmed arrivals. Check Google’s definition and counting adjustments, then compare like periods alongside independently measured visitor counts. Keep sales and transactions as separate outcomes. Investigate incorrect entrances, closures or measurement gaps without declaring a cause from parallel trends. The worksheet documents what is observed, unknown and worth checking next.

Key Takeaways

  • Directions requests are not evidence that someone arrived at the premises.
  • Use the metric’s stated counting adjustments; do not copy a views once-per-day rule.
  • Compare like periods and document data coverage or missing values.
  • Use independent visitor counts for footfall and keep sales or transactions separate.
  • Parallel trends alone do not establish causal impact or a conversion rate.

Want the full breakdown? Scroll below.

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On this pageJump to a section
  1. 1Understanding Google Business Profile Directions Requests
  2. 2Exact Metric Definitions and Counting Rules
  3. 3Comparing Periods: Avoiding Misleading Conclusions
  4. 4Procedure: Interpreting Directions Requests vs Actual Visits
  5. 5Local-Metric Interpretation Worksheet
  6. 6Worked Hypothetical South African Example
  7. 7Common Failures and Exceptions
  8. 8Responsibilities and Verification
  9. 9FAQs
  10. 10Get help interpreting the observations
  11. 11Check the supporting rules
  12. 12Related guides
  13. 13Sources

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A rise in directions requests on your Google Business Profile (GBP) without an increase in actual visits can be puzzling. This scenario often indicates increased online interest or curiosity, but it does not guarantee more customers physically arriving at your location. Understanding the definitions of Google metrics, comparing data over consistent periods, and verifying with on-site visitor evidence are essential steps to correctly interpret these signals. This article guides South African business owners through a practical approach, culminating in a local-metric interpretation worksheet to make sense of your data and make informed decisions.

Understanding Google Business Profile Directions Requests

Google Business Profile defines directions requests as the number of times users tap the "Directions" button on your profile to get navigation guidance to your business. Google documents adjustments for multiple taps, cancellations and spam; the supplied evidence does not specify a per-user frequency window or establish a once-per-day directions rule Source: Business Profile performance and insights.

Importantly, directions requests are not equivalent to actual visits. A user may request directions but never arrive, or they might change plans en route. Thus, directions requests represent digital interest, a potential lead indicator, but not a confirmed footfall or revenue event.

Exact Metric Definitions and Counting Rules

To interpret directions requests accurately, note the following Google metric rules:

  • Counting adjustments: Google describes adjustments for multiple taps, cancellations and spam in directions requests. Do not copy the Views once-per-day rule onto Directions or invent a per-user frequency rule not supplied by the documentation.
  • Spam and cancellations filtered: Google documents adjustments for multiple taps, cancellations and spam. Do not invent a specific cancellation speed or deduplication interval.
  • Distinct from views and calls: Directions requests are separate from profile views, call button clicks, website clicks, or messages.

Similarly, actual visits or footfall are not directly measured by Google. Businesses must rely on their own visitor counters, point-of-sale data, or manual logs to confirm physical visits.

Comparing Periods: Avoiding Misleading Conclusions

A common mistake is comparing directions requests over inconsistent or too short periods. For example, comparing a festive season week with a low-traffic month can inflate perceived interest.

Recommended period comparison rules:

  1. Use matching calendar periods: Compare the same month or quarter year-on-year to account for seasonal effects.
  2. Exclude abnormal events: Remove periods affected by unusual promotions, holidays, or disruptions.
  3. Use rolling averages: For volatile data, a 30-day rolling average smooths spikes.

By standardizing periods, you reduce noise and better detect true trends in directions requests and visits.

Procedure: Interpreting Directions Requests vs Actual Visits

Follow this practical 7-step procedure to analyze your metrics:

  1. Gather data: Export Google Business Profile performance data for directions requests, views, calls, and website clicks over the last 12 months Source: Business Profile Performance API.

  2. Collect visitor evidence: Compile independently measured visitor counts using a documented method for the same periods. Keep sales and POS transactions as separate outcomes or clearly labelled proxies, not confirmed visitor counts.

  3. Check metric definitions: Review Google definitions to understand what each metric represents and its limitations.

  4. Select consistent periods: Choose matching months or quarters for comparison, excluding abnormal periods.

  5. Calculate growth rates: Compute percentage changes for each independently defined series. If Period1 is zero, percentage growth is undefined; report the raw difference and explain the denominator instead.

  6. Analyze discrepancies: If directions requests rise but visits do not, consider external factors such as increased online interest, curiosity, or errors in visitor tracking.

  7. Make informed decisions: Use insights to adjust marketing, staffing, or operational plans, recognizing that digital interest may precede actual visits.

Local-Metric Interpretation Worksheet

Use the following worksheet to systematically interpret your data. Fill in the fields and follow the decision criteria.

Field Input / Data Needed Interpretation Criteria / Notes
Period 1 (e.g., Jan-Mar) Dates and metric values for directions requests Must be consistent with Period 2 for valid comparison
Directions Requests P1 Numeric value Baseline metric
Actual Visits P1 Recorded footfall under a defined counting method; sales are a separate measure Confirmed physical visits
Period 2 (e.g., Apr-Jun) Dates and metric values for directions requests Check length and seasonality; Q1 and Q2 may have different seasonal conditions
Directions Requests P2 Numeric value Compare with P1
Actual Visits P2 Recorded footfall under a defined counting method; sales are a separate measure Compare with P1
Directions Growth (%) ((P2 - P1) / P1) * 100 Positive growth indicates increased digital interest
Visits Growth (%) ((P2 - P1) / P1) * 100 Positive growth indicates increased footfall
Discrepancy Flag Yes/No Proposed review trigger, not Google rule: directions growth >10% with visits growth ≤0%
Possible Causes List reasons for discrepancy E.g., online curiosity, tracking errors, promotions
Recommended Actions Planned responses E.g., verify visitor data, adjust marketing focus

Decision criteria:

  • If both measures grow similarly, that is a parallel trend to investigate; it does not establish that the direction requesters made those visits.
  • If directions rise but visits do not, investigate causes and avoid assuming increased footfall.
  • If visits rise but directions do not, consider offline marketing or word-of-mouth effects.

Worked Hypothetical South African Example

Consider a Johannesburg-based coffee shop "Jozi Brews" comparing Q1 and Q2 2024:

Metric Q1 2024 Q2 2024 % Change
Directions Requests 1,200 1,560 +30%
Recorded customer visits (defined counter) 900 880 -2.2%

Interpretation:

  • Directions requests increased by 30%, indicating more people are looking up directions.
  • Actual visits slightly declined, while the directions series increased. The unlinked totals do not establish whether requesters converted or what caused either trend; different quarters also need seasonality checks.

Possible causes:

  • Increased online curiosity due to a new menu launch announced online.
  • Visitor counting error or reduced store hours.
  • External factors like transport strikes limiting visits.

Recommended actions:

  • Verify visitor counting accuracy.
  • Survey customers on visit barriers.
  • Enhance online-to-offline conversion strategies.

This example illustrates how rising directions requests alone do not guarantee increased footfall.

Common Failures and Exceptions

  • Ignoring metric definitions: Treating directions requests as actual visits leads to overestimating footfall.
  • Short-term comparisons: Comparing a single week with a previous month can mislead.
  • Overlooking external factors: Events like roadworks or weather can affect visits independently of online interest.
  • Assuming causation: Increased directions requests may be from competitors or researchers, not potential customers.
  • Data quality issues: Inaccurate visitor counts or misconfigured tracking can distort analysis.

Responsibilities and Verification

Business owners and branch managers should:

  • Regularly review Google Business Profile performance metrics via the Google Maps app or Business Profile Manager Source: Business Profile performance and insights.
  • Maintain accurate visitor tracking systems aligned with business hours and promotions.
  • Use the local-metric interpretation worksheet to document and analyze trends.
  • Collaborate with marketing and operations teams to align digital insights with physical realities.
  • Verify data consistency monthly and adjust analysis periods as needed.

Verification steps:

  • Cross-check directions requests with call and website click metrics.
  • Verify visitor counts using an actual visitor-counting method. POS records measure transactions and remain separate.
  • Monitor customer feedback for qualitative insights.

FAQs

Why do directions requests increase without more visitors?

Directions requests measure online interest, not confirmed visits. People may request directions out of curiosity, plan visits later, or not visit at all.

Can directions requests predict future visits?

They can be an early indicator but are not a guarantee. Use them alongside other metrics and visitor data.

How often should I review these metrics?

Monthly reviews are recommended to spot trends and respond timely.

What if my visitor tracking is unreliable?

Improve tracking methods, such as manual visitor counts or appropriate footfall counters, documenting coverage and limitations. POS transaction records remain a separate series.

Are there Google tools to link directions requests to sales?

The supplied report does not link each directions request to an individual physical visit. Keep a separate, consistently defined visitor count; an analytics installation alone does not create that linkage. Source: Business Profile performance and insights.

Get help interpreting the observations

Bring the completed worksheet and independently recorded visitor data to a discussion of the next checks. The aggregate totals do not establish conversion or a revenue outcome. If you need help applying the worksheet, bring the recorded facts and unknowns when you get in touch. Visit our guides on SEO audits and local SEO to learn more.

Check the supporting rules

Google describes local ranking in terms of relevance, distance and prominence; profile work cannot guarantee a position. Source: Google local ranking guidance

Related guides

Use the google maps seo guide to place this decision in its wider context, and the conversion tracking setup guide for related implementation considerations. The local seo glossary entry explains the terminology.

Sources

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Bukhosi Moyo

Written by

Bukhosi Moyo

CEO & Founder

Bukhosi is the founder and lead SEO strategist at Symaxx. He architects search-first digital systems for South African businesses, combining technical engineering with commercial strategy to build long-term organic assets.

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