Key Metrics to Evaluate Dublin Profile Post Performance

Key Metrics to Evaluate Dublin Profile Post Performance

Set Dublin-centric goals and KPI framework

Purpose: Translate business objectives into measurable Google Business Profile (GBP) post KPIs that reflect how Dubliners discover, evaluate, and act. - KPI scope: Prioritise Local Pack–driven leads and revenue; track secondary signals such as discovery impressions and engagement quality. - Audience segmentation: Separate local service buyers (calls, directions, bookings) from ecommerce shoppers (sessions, add-to-cart, purchase). - Post-level definitions: Impressions (views), CTR (clicks ÷ impressions), CTA click rate by post type (Offer, Update, Event), cost per engagement where paid support exists. - Conversion hierarchy: Micro (view menu, product view) → lead (call, message, form) → sale (in-store, pickup, delivery, online purchase). - Dublin focus: Align KPIs with city centre footfall vs suburbs, commuter patterns, and seasonality (events at Croke Park/Aviva, tourism peaks). Outcome: A clear, tiered KPI tree to judge post performance against growth targets for Dublin locations. Optimised profiles managed through Google Business Profile Management in Dublin—covering categories, services, photos, posts, Q&A, and review strategy with UTM and call tracking plus spam-fighting—win more Local Pack visibility and conversions for Dublin searches across local and ecommerce clients.

Translate business goals into a GBP post KPI tree that mirrors how Dubliners discover, evaluate, and act—so you can judge posts by their impact on Local Pack leads and revenue.

Quick-reference facts

  • Use UTM-tagged CTAs and dynamic call tracking to attribute Local Pack traffic, calls, and sales to posts.
  • Benchmark CTR and discovery vs branded splits by location and category to identify winners.
  • Segment city centre vs suburbs and adjust post timing to commuter behaviour and event calendars.
  • Report post type → location cluster → city to scale impact efficiently.
  • North-star outcomes
    • Local service buyers: calls (with call tracking), direction requests, messages/forms, bookings → revenue via lead-to-sale rate and average order value.
    • Ecommerce shoppers: UTM-tagged post CTAs driving sessions, product views, add-to-cart, purchases → revenue and ROAS.
  • Post-level metrics
    • Impressions (views) and discovery vs branded split for visibility quality.
    • CTR = clicks ÷ impressions; benchmark by location and category.
    • CTA click rate by post type (Offer, Update, Event) to double down on high-intent formats.
    • Cost per engagement where paid support exists (e.g., Local campaigns promoting the same offers).
  • Conversion hierarchy
    • Micro: view menu, product view, website visit.
    • Lead: call, message, directions, booking, form.
    • Sale: in-store, pickup/delivery, online purchase (from UTM sessions).
  • Dublin lens
    • Segment by city centre vs suburbs; track direction requests and walk-ins against footfall.
    • Time-of-day and weekday patterns for commuters; adjust posting times accordingly.
    • Seasonality overlays: tourism peaks and event spikes (Croke Park, Aviva Stadium) to compare baseline vs uplift.
  • Instrumentation & hygiene
    • UTM on every post CTA; dynamic call tracking on “Call now.”
    • Filter spam/noise via call-duration thresholds and proactive review/Q&A moderation.

Report in tiers—post type → location cluster → city—so you can scale what wins Local Pack visibility and conversions for Dublin.

Set Dublin-centric goals and KPI framework

Purpose: Turn business objectives into measurable Google Business Profile (GBP) post KPIs that reflect how Dubliners discover, evaluate, and act. - KPI scope: Prioritise Local Pack–driven leads and revenue; monitor discovery impressions and engagement quality as secondary signals. - Audience segmentation: Distinguish local service buyers (calls, directions, bookings) from ecommerce shoppers (sessions, add-to-cart, purchase). - Post-level definitions: Impressions (views), CTR (clicks ÷ impressions), CTA click rate by post type (Offer, Update, Event), and cost per engagement when paid support is active. - Conversion hierarchy: Micro (view menu, product view) → lead (call, message, form) → sale (in-store, pickup, delivery, online purchase). - Dublin focus: Align KPIs with city centre footfall vs suburbs, commuter rhythms, and seasonality (Croke Park/Aviva events, tourism peaks). Ready to Elevate Your Presence in Dublin’s Search Rankings with Our Expert SEO Services? At Webjuice, our SEO services in Dublin and across Ireland are crafted to enhance your online visibility, drive more traffic, and generate high-quality leads. Specializing in local SEO and E-commerce strategies, we tailor our approach to connect you with your ideal audience and give you the edge over competitors. SEO Agency in Dublin From in-depth keyword research to technical SEO enhancements and content creation backed by strategic topical mapping, we cover all the essentials. Partnering with us means investing in sustained growth and a long-term ally committed to your success.. Outcome: A tiered KPI tree to evaluate post performance against growth targets for Dublin locations. Managed end to end via Google Business Profile Management in Dublin—categories, services, photos, posts, Q&A, review strategy, UTM and call tracking, and spam-fighting—to lift Local Pack visibility and conversions for both local and ecommerce clients.

Translate business goals into a GBP post KPI tree that mirrors how Dubliners discover, evaluate, and act—so you can judge posts by their impact on Local Pack leads and revenue.

  • North-star outcomes
    • Local service buyers: calls (with call tracking), direction requests, messages/forms, bookings → revenue via lead-to-sale rate and average order value.
    • Ecommerce shoppers: UTM-tagged post CTAs driving sessions, product views, add-to-cart, purchases → revenue and ROAS.
  • Post-level metrics
    • Impressions (views) and discovery vs branded split for visibility quality.
    • CTR = clicks ÷ impressions; benchmark by location and category.
    • CTA click rate by post type (Offer, Update, Event) to amplify high-intent formats.
    • Cost per engagement where paid support exists (e.g., Local campaigns promoting the same offers).
  • Conversion hierarchy
    • Micro: view menu, product view, website visit.
    • Lead: call, message, directions, booking, form.
    • Sale: in-store, pickup/delivery, online purchase (from UTM sessions).
  • Dublin lens
    • Segment by city centre vs suburbs; track direction requests and walk-ins against footfall.
    • Time-of-day and weekday patterns for commuters; adjust posting times accordingly.
    • Seasonality overlays: tourism peaks and event spikes (Croke Park, Aviva Stadium) to compare baseline vs uplift.
  • Instrumentation & hygiene
    • UTM on every post CTA; dynamic call tracking on “Call now.”
    • Filter spam/noise via call-duration thresholds and review/Q&A moderation.

Report in tiers—post type → location cluster → city—so you can scale what wins Local Pack visibility and conversions for Dublin.

Instrumentation: UTM, GA4, call tracking, and privacy

Objective: Ensure every GBP post interaction can be attributed to business outcomes while complying with Irish/EU privacy rules. - UTM schema: utm_source=google, utm_medium=gbp-post, utm_campaign={locationID-Dxx|area}-{postType}-{theme}, utm_content={cta|creativeVariant|lang}. Use location IDs per Dublin district (e.g., D02, D08) for multi-site rollups. - GA4 mapping: Track sessions, engaged sessions, conversions (purchase, lead_submit), and post-specific events (click_call, click_directions, click_book, click_order). - Call tracking: Use a dedicated GBP number or DNI with a static forwarding number in the listing. Capture call start time, duration, outcome (answered/missed), first-time vs repeat callers. - Directions events: Export from GBP Insights; enrich with store catchment geos for D1–D24 trend lines. - Consent & GDPR: Maintain cookie consent for UTM traffic landing pages; avoid recording PII in analytics notes. Deliverable: A validated data pipeline from post to revenue.

To link every Google Business Profile (GBP) post to measurable revenue in Dublin while staying privacy-first, standardise your tracking and reporting across all locations.

  • UTM tagging: Enforce this schema on every post URL: utm_source=google, utm_medium=gbp-post, utm_campaign={locationID-Dxx|area}-{postType}-{theme}, utm_content={cta|creativeVariant|lang}. Use Dublin district IDs (e.g., D02, D08) so multi-site rollups and location-level ROI are effortless.
  • GA4 mapping: Attribute traffic and outcomes to posts via sessions, engaged sessions, and conversions (purchase, lead_submit). Fire post-specific events: click_call, click_directions, click_book, click_order. Include parameters such as location_id (Dxx), post_type, theme, cta, creative_variant, lang, and post_id to enable granular analysis.
  • Call tracking: Use a dedicated GBP tracking number or DNI on-site with a static forwarding number in the listing. Capture call start time, duration, outcome (answered/missed), and first-time vs repeat callers. Send call events to GA4 (Measurement Protocol) or your CRM, and reconcile with sales to attribute revenue to posts that drive calls.
  • Directions insights: Export Directions requests from GBP Insights and enrich with catchment geographies to produce D1-D24 trend lines. Compare direction volume by district against sessions and conversions for demand heatmaps.
  • Consent & GDPR: On UTM-tagged landing pages, load GA4 and marketing tags only after consent. Do not record PII in analytics notes or event parameters; store customer data in secured CRM systems with proper lawful basis.

Validation checklist: every live post has correct UTMs; listing phone maps to tracking; GA4 receives post events; call outcomes sync daily; directions data updates weekly; and a district-level dashboard ties post/call/web conversions to revenue. This creates a defensible post-to-revenue pipeline for Dublin local and ecommerce campaigns.

Reach and visibility: Where posts are seen in Dublin

Goal: Measure the opportunity surface for posts across Dublin search contexts. - Discovery vs branded: Track ratio of “discovery” searches (category/service) vs brand-name searches to assess post exposure potential. - Maps vs Search views: Split impression share between Google Maps and Search; identify neighborhoods (e.g., D4, D15) where Maps dominates. - Local Pack share: Monitor average ranking/appearance in the 3-Pack for priority queries; correlate post cadence with Pack inclusion rate. - Query themes: Group impressions by high-intent queries (near me, open now, same-day delivery) to inform post targeting. - Exposure efficiency: Impressions per post and per active day; detect decay curves after publish time to refine posting schedule. Output: A visibility baseline that contextualizes engagement and conversion rates.

To measure the opportunity surface for Google Business Profile posts across Dublin, start by understanding where impressions originate before clicks, calls, or orders.

  • Discovery vs branded: Track the ratio of discovery (category/service) to brand-name searches in GBP Performance. A high discovery share signals more headroom for posts that clarify categories, services, and inventory.
  • Maps vs Search views: Split impressions between Google Maps and Search. Map the split by Dublin districts (e.g., D4, D15, D24) to spot areas where Maps dominates (on-the-go users) versus Search (research mode).
  • Local Pack share: Monitor average 3-Pack appearance for priority queries via geo-grid tracking across key postcodes. Correlate post cadence and freshness with Pack inclusion rate.
  • Query themes: Cluster impression-driving queries (near me, open now, same-day delivery, click-and-collect) to guide post topics, offers, and CTAs for both local and ecommerce intents.
  • Exposure efficiency: Calculate impressions per post and per active day. Plot decay curves from publish time to identify how long posts sustain visibility and the optimal posting rhythm by district.

Instrument everything: append UTM tags (source=google, medium=gbp-post, campaign=offer|event|update) and use a call-tracking number as the primary with your main line as additional to preserve NAP. This ties impression contexts to sessions, calls, and revenue.

The output is a visibility baseline by channel (Maps vs Search), query type (discovery vs branded), and location (D-codes). Use it to contextualize engagement and conversion rates, prioritize neighborhoods, and iterate on post frequency, creative, and offers that lift Local Pack visibility and sales.

Engagement quality: Clicks, CTR, and CTA performance

Purpose: Evaluate how compelling your posts are to Dublin searchers. - Core metrics: Clicks, CTR, and unique clickers; adjust for impression mix (Maps vs Search) and device type. - CTA depth: Click-to-Call, Book, Directions, Order Online, and Website clicks segmented by post type (Offer, Event, Update, Product). - Post type benchmarking: Offers typically drive higher CTR and quicker action; Events support awareness with longer tails—compare like for like. - Timing analysis: Best hour/day by Europe/Dublin time; pre-commute (07:00–09:00) and lunch windows (12:00–14:00) often outperform for services; evenings for ecommerce. - Creative attributes: Image/video presence, headline length, price framing, local cues (landmarks, neighborhoods) and seasonal tie-ins. Result: A ranked list of post formats, CTAs, and schedules that consistently earn high-quality engagement.

Use post analytics to prove how compelling your Google Business Profile content is to Dublin searchers and to drive more Local Pack conversions.

  • Core engagement: Track clicks, CTR, and unique clickers per post. Normalize by impression mix (Maps vs Search) and by device (mobile vs desktop) so high-Maps visibility doesn't inflate or deflate performance unfairly.
  • CTA depth: Segment Click-to-Call, Book, Directions, Order Online, and Website clicks by post type (Offer, Event, Update, Product). Apply call tracking numbers and UTM tags (e.g., utm_source=google&utm_medium=organic&utm_campaign=gbp_post&utm_content=offer) to attribute conversions beyond the click.
  • Post type benchmarking: Compare like with like. Offers typically deliver higher CTR and faster actions (calls, orders); Events tend to build awareness with longer tails. Benchmark median CTR, unique clickers per 1,000 impressions, and time-to-CTA across Offers vs Events vs Products vs Updates.
  • Timing analysis: Evaluate by Europe/Dublin time. For services, pre-commute 07:00-09:00 and lunch 12:00-14:00 often win; for ecommerce, early evening performs best. Test day-of-week patterns (e.g., Thu-Sat for hospitality, Mon-Wed for professional services) and adjust schedules accordingly.
  • Creative attributes: Score image/video presence, headline length, price framing (from €X, % off), and local cues (Temple Bar, Docklands, Grafton Street, Sandyford, Blackrock). Layer seasonal tie-ins (St Patrick's Day, Six Nations, back-to-school, Christmas markets) to lift relevancy.

Weight results by high-intent signals (Directions and Calls) and by your priority services or categories. The outcome should be a ranked list of post formats, CTAs, and publishing schedules that repeatedly earn high-quality, Dublin-relevant engagement-fueling stronger visibility and conversions from your profile.

Pre-Launch Checklist for New Dublin Google Business Profiles

Conversion and revenue impact from posts

Aim: Tie GBP post engagement to tangible business outcomes. - Website outcomes (GA4): Engaged sessions per post, conversion rate, add-to-cart, checkout start, purchase, average order value. Attribute by UTM campaign and content. - Lead outcomes: Calls (answered vs missed), messages, form submissions, appointment bookings; include call duration thresholds (e.g., 60+ seconds as sales-qualified). - Offline intent: Directions requests and store visit proxies; map to trade area and opening hours to forecast staffing. - Assisted conversions: Post-click session assists and post-view influence windows (e.g., 7–14 days) using GA4 attribution and lookback comparisons. - Lag & frequency: Time-to-conversion after post click; optimal posting frequency to sustain conversion velocity without fatigue. Deliverable: A conversion model showing which posts and CTAs generate the most revenue or qualified leads in Dublin.

To connect Google Business Profile posts with real revenue and qualified leads in Dublin, instrument every post with UTM campaign and content parameters and pair GBP call tracking with GA4. This lets you see which category- and service-aligned posts, photos, Q&A prompts, and CTAs actually move customers from impression to action in Local Pack results.

  • Website outcomes (GA4): Track engaged sessions per post, conversion rate, add-to-cart, checkout start, purchase, and average order value. Attribute each to the post's UTM campaign/content to compare formats and CTAs (Call, Book, Buy, Directions).
  • Lead outcomes: Measure calls (answered vs missed), messages, form submissions, and appointment bookings. Classify sales-qualified calls with a duration threshold (e.g., 60+ seconds) and tag outcomes in your CRM.
  • Offline intent: Monitor Directions requests as store-visit proxies. Map by Dublin trade areas (e.g., D1-D18) and overlay with opening hours to forecast staffing for peak post-driven footfall.
  • Assisted conversions: Include post-click session assists and post-view influence using GA4 attribution with 7-14 day lookback windows; compare against holdout periods for lift.
  • Lag & frequency: Calculate time-to-conversion after post click and test posting cadence to sustain velocity without message fatigue.

Deliverable: build a conversion model that ranks posts and CTAs by revenue and qualified lead value. For ecommerce, sum purchase revenue and AOV per UTM; for local services, assign values to sales-qualified calls, booked appointments, and form leads. Include assisted weights (e.g., 0.3 for assist vs 1.0 for last-click) and segment by category, service, and Dublin locality. The output is a prioritized list of post templates and CTAs to scale, optimal posting frequency, and staffing recommendations aligned to when and where demand spikes.

Creative, media, and listing asset quality

Objective: Improve post performance by elevating visuals and on-profile assets. - Photo/video metrics: Views, unique viewers, media CTR, and saves; monitor competitor photo volume to maintain parity or lead. - Quality standards: Natural light, recognizable Dublin backdrops, product close-ups, subtitles for silent video, mobile-first cropping. - A/B testing: Test headline hooks, price anchoring, promo length, static vs motion, and image color temperature; rotate winning variants across districts. - Asset coherence: Ensure categories, services, attributes (Delivery, Click-and-Collect), and product feeds align with post content and landing pages. - Freshness cadence: Maintain weekly uploads; spike volume around local events (St. Patrick’s Festival, match days) with geo-relevant creatives. Outcome: Consistent creative systems that lift engagement and downstream conversions.

To lift Google Business Profile post performance in Dublin, focus on creative that's engineered for metrics and aligned with on-profile assets. Measure rigorously, iterate fast, and match your content to local intent to win more Local Pack visibility and conversions.

  • Photo/video metrics: Track views, unique viewers, media CTR, and saves. Benchmark competitor photo volume monthly to maintain parity or lead. Use UTM tags and call tracking to attribute post-driven traffic, calls, and on-site actions.
  • Quality standards: Shoot in natural light with recognizable Dublin backdrops (e.g., Ha'penny Bridge, Poolbeg chimneys). Prioritize product close-ups, add subtitles for silent autoplay, and crop mobile-first (square or 4:5) to dominate the viewport.
  • A/B testing: Test headline hooks, price anchoring, promo length, static vs. motion, and image color temperature. Rotate winning variants across districts (Dublin 1-8, North/Southside) to validate performance across catchments and footfall patterns.
  • Asset coherence: Ensure categories, services, and attributes (Delivery, Click-and-Collect) mirror what your posts promise. Align product feeds and landing pages with post content and UTM source/medium; reflect offers in Q&A to remove friction.
  • Freshness cadence: Upload weekly to sustain recency signals; increase volume around local events (St. Patrick's Festival, match days at Aviva/Croke Park) with geo-relevant creatives. Retire underperformers and republish proven winners seasonally.

The result is a consistent creative system that compounds engagement, improves CTR and saves, and drives downstream conversions for both local and ecommerce funnels.

Reputation, Q&A, and trust signals that amplify posts

Purpose: Use social proof and responsiveness to raise post effectiveness. - Review KPIs: Average rating, volume, velocity, recency, response time; set thresholds to counteract periodic influxes from high-traffic weekends. - Q&A health: Question response rate and time-to-first-answer; seed FAQs for top intents (shipping to Dublin postcodes, parking, accessibility). - Correlation checks: Track uplift in post CTR/conversions after review request campaigns or rating recovery. - Profile authority: Consistent NAP, service descriptions, and owner responses; pin posts that reference highly rated services/products. - Spam-fighting metrics: Reported listing spam, keyword stuffing removals, photo spam takedowns, suspension/reinstatement timelines; measure ranking and CTR recovery post-cleanup. Result: Higher trust scores that compound the reach and conversions from GBP posts.

To lift the real-world performance of your Dublin Google Business Profile posts, measure the trust signals that shape click intent and conversion, then act quickly. Social proof (reviews, photos) and responsiveness (Q&A and owner replies) are the levers that move Local Pack visibility and post CTR.

  • Review KPIs: Track average rating, review volume, velocity, and recency alongside response time. Create weekday vs. weekend thresholds to offset high-traffic surges (e.g., if Temple Bar footfall spikes reviews, alert on rating dips below 4.5 or median response time > 12 hours from Friday-Sunday). Reflect great reviews in posts and product highlights.
  • Q&A health: Monitor question response rate and time-to-first-answer. Seed FAQs for top intents: shipping to Dublin postcodes, parking near your location, wheelchair/stroller accessibility, and click-and-collect. Convert recurring answers into Posts and pin where relevant.
  • Correlation checks: Use UTM-tagged posts and call tracking to confirm uplift in CTR, call-throughs, and orders after review request campaigns or rating recovery. Compare pre/post windows to validate causal impact.
  • Profile authority: Keep NAP, primary/secondary categories, and service descriptions consistent. Maintain owner responses on reviews and Q&A. Pin posts that reference your highest-rated services/products and refresh photos that feature them.
  • Spam-fighting metrics: Log reported listing spam, keyword-stuffing removals, photo spam takedowns, and any suspension/reinstatement timelines. Track ranking and post CTR recovery after each cleanup to quantify gains.

When these indicators trend positive, your profile earns higher trust scores, which compounds the reach, clicks, and conversions from GBP posts for both local and ecommerce journeys across Dublin searches.

Category, services, and ecommerce alignment with posts

Aim: Ensure structural relevance so posts rank and convert for Dublin searches. - Category fit: Validate primary/secondary categories against top queries; adjust seasonally (e.g., Gift Shop near holidays) if relevant. - Services/product schema: Keep services list explicit and mirrored in post themes; sync product posts with inventory and pricing. - Ecommerce integration: Use Product/Order CTAs with clear delivery/collection messaging (same-day Dublin, D1–D12 pickup windows). - Attribute accuracy: Payment types, accessibility, bilingual cues if applicable; align with ad extensions and site schema to reinforce relevance. - Consistency checks: Match hours, offers, and terms across posts, profile, and landing pages to prevent drop-offs. Outcome: Structural coherence that boosts post discoverability and conversion intent.

To make Google Business Profile posts rank and convert for Dublin searches, track structural fit as closely as you track clicks. Prioritise these checks and KPIs:

  • Category-query fit: Map primary/secondary categories to top Dublin queries from GBP Insights and GSC (location filters). KPI: percentage of priority queries covered. Action: adjust seasonally (e.g., add "Gift Shop" in Nov-Dec if relevant).
  • Services/product schema alignment: Ensure services listed in GBP match your site schema and appear as recurring post themes. KPIs: service coverage rate (% of listed services with a post in last 60 days), schema validation pass rate, price/inventory sync for product posts.
  • Ecommerce CTA performance: Use Product/Order CTAs with explicit fulfilment promises. KPIs: CTR and conversion by CTA and promise (e.g., "Same‑day Dublin delivery," "D1-D12 pickup windows"). Reflect these in post copy and landing pages.
  • Attribute accuracy: Complete payment types (Visa/Apple Pay/Revolut), accessibility, and bilingual cues (EN/GA) if applicable. KPI: attribute completeness and parity with ad extensions and on‑site schema to reinforce relevance.
  • Consistency score: Weekly parity check across posts, profile, and landing pages. KPI: mismatches found for hours, offers, pricing, and terms; target zero discrepancies to prevent drop‑offs.

Measure downstream impact with UTM-tagged post URLs and call tracking: post-assisted sessions, goal completions, and qualified calls. Watch Local Pack post views and clicks in GBP Insights as a discoverability proxy. When categories, services, CTAs, attributes, and content are structurally coherent-and consistent with your site and ads-posts earn more relevant Dublin impressions and convert more browse intent into orders, visits, and calls.

Reporting cadence, benchmarks, and optimization loops

Goal: Operationalize measurement and continuous improvement. - Cadence: Weekly pulse (impressions, CTR, top CTAs, missed calls) and monthly deep-dive (assisted conversions, query mix, creative tests). - Segmentation: By district (D1–D24), store type, and audience (local vs ecommerce) to localize insights. - Benchmarks: Establish baseline CTR by post type, call answer rate, conversion rate, and AOV; compare to Dublin category peers. - Alerts & SLAs: Missed call rate thresholds, listing edits/spam alerts, post expiry warnings; ensure constant post coverage. - Roadmap: Quarterly experiments on new post types, offers, and media formats; retire underperformers and scale winners. Deliverable: A living dashboard that ties GBP post performance to pipeline and revenue across Dublin.

To turn Google Business Profile management in Dublin into measurable growth, run a tight feedback loop that connects posts, calls, Q&A, reviews, and on-site behavior via UTM and call tracking. Use spam-fighting and category/service hygiene to protect visibility, then quantify what each post contributes to Local Pack clicks and revenue.

  • Weekly pulse: track impressions, CTR by post type (Offer, Update, Event, Product), top CTAs (Call, Directions, Website, Buy), missed calls, Q&A response time, and review velocity. Validate UTM tags on post links.
  • Monthly deep dive: analyze assisted conversions, query mix (brand vs non-brand, "near me" vs district terms), media performance (photo vs video), and outcomes of creative tests.
  • Segmentation: slice results by Dublin district (D1-D24), store type (e.g., showroom, clinic, takeaway), and audience (local footfall vs ecommerce) to surface localized insights and budget shifts.
  • Benchmarks: set baselines for CTR by post type, call answer rate, conversion rate, and AOV. Compare against Dublin category peers to identify headroom and prioritize experiments.
  • Alerts & SLAs: trigger notifications for missed call rate thresholds, unapproved listing edits or spam attacks, and post expiry warnings. Maintain constant post coverage and photo freshness.
  • Roadmap: run quarterly experiments on new post types, offers, and media formats; promote winners, retire underperformers, and document learnings.

Deliver a living dashboard that maps the journey-impressions → clicks → CTAs → calls/chats → assisted and direct conversions-by district and audience. Include call answer rate, post coverage days, review/Q&A SLAs, and UTM-attributed revenue so both local and ecommerce teams can tie GBP post performance to pipeline and revenue across Dublin.

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