GA4 setup and Google Analytics 4 consulting: from event plan to decision, with verified data.
What is GA4?
GA4 (Google Analytics 4) is Google’s measurement platform that collects interactions on websites and apps as events, and that replaced Universal Analytics. Every action, such as a page view, form submission or purchase, is an event; the detail of the action is carried by parameters, and information about the user by user properties. Events important to your business are marked as key events; through the Google Ads link, ad conversions based on these key events can be created. How reliable reports are depends on the event plan, the Consent Mode setup and property settings such as the data retention period.
We set up your GA4 property with a written event plan, verify key events against real lead and order records, and turn on the Google Ads, Search Console and BigQuery links. In reports, we state which event each number comes from and how it’s affected by thresholds, sampling or consent state.
2An event in DebugViewgenerate_lead arrived; marked as a key event.Verified
3yourbrand.com › offerYour Brand | Your request has been received
Reliable data in GA4 is built in three layers.
01
Setup and the data model
We set up the property, data stream and event plan around your business questions, and tie every event and parameter to the written plan.
Property and data stream
We open the account and property in your company’s name, and set up web and app data streams, the time zone and the currency.
The event-based model
We define every action with an event name, parameters and the condition it fires on, and register parameters used in reports as custom dimensions.
Recommended events
We use events Google defines, such as generate_lead and purchase, with their prescribed parameters, and open a custom event only when there’s no equivalent.
Key events
We mark events that pay off for your business, such as sales, leads and sign-ups, as key events and verify them one by one in DebugView.
02
Reporting and analysis
We read reports and explorations knowing what data they rest on, and what thresholds and the retention period hide.
Explorations
With free form, funnel and path explorations, we examine in detail the questions standard reports don’t answer.
Funnels and segments
We define lead or purchase steps in a funnel exploration and break down drop-off by device, channel and visitor type.
Thresholds and sampling
We recognize results with data thresholds or sampling applied from the data quality icon, and show them separately in our report.
Data retention period
On the first day of setup, we set the retention period, which determines how many months back explorations can look, to fit your needs.
03
Integrations and consent
We connect GA4 to Google Ads, Search Console and BigQuery, and set up Consent Mode to follow the visitor’s choice.
Google Ads link
While setting up the link, we configure personalized advertising and auto-tagging, and create ad conversions based on key events.
Search Console
We read organic queries with Search Console metrics, and landing pages side by side with engagement and key events in GA4.
BigQuery export
We export raw event data to your company’s Google Cloud project and answer the questions the interface can’t with SQL.
Consent Mode
We pass the visitor’s cookie choice to Google tags, and verify that tags don’t read or write analytics cookies when consent is denied.
How does an event become a decision?
Measurement starts when the tag sends the visitor’s action on the site as an event; the event reaches the property through the data stream and, once processed, appears in reports, explorations and the raw table in BigQuery. At the decision stage we read the key event rate by channel and page, and keep thresholded or sampled figures separate.
14 monthsThe longest data retention period you can choose in a standard property; explorations and funnel reports look back within this limit.9
1 millionThe most events that can be exported to BigQuery in one day with the daily export in a standard property; the streaming export has no volume limit.11
Url Clicks · 2026 vs 2025JulAugSep2026400K2025204K
Jul112K65.2KAug131K68.5KSep156K70.2K
Sample data.
Click to flip through the screens
The dashboard pulls Search Console and Analytics data at the same time. We update the filters to match the project’s goals and build new screens for each type of conversion step.
We build screens with filters Google’s own interface doesn’t offer. We track your queries separately in the top 3, 4–10, 10–20 and 20+ position groups.
We group keywords into clusters and look at the traffic a project gets from each cluster as a whole. We can compare an online store’s bag and shoe clusters on one screen, by search intent, against the previous period; that is a more useful way to measure success.
To report organic growth honestly, we split traffic into branded and non-branded searches. We analyze non-branded traffic separately; that is where the effect of SEO work shows most clearly.
All these filters show the losses too: not every one of the 25 screens shows green. The same screens reveal the swings caused by algorithm updates, and our recovery work starts there.
We track every keyword one by one: impressions, clicks, CTR and position on the same row. Where a keyword moves up but clicks don’t follow, we start work on the title and description.
We keep the city the traffic comes from on a separate screen. For brands with physical stores, the city breakdown decides where the budget and content go.
We compare with the same period last year: is it seasonality or real growth? A screen that looks good against the previous 90 days may be standing still against last year.
25
screens
310
distinct data types
24/7
phone and desktop
Search Console and Analytics
Search Console + Analytics
How does GA4 work?
Contents 12 sections
We wrote this guide for marketing, ecommerce and management teams who question how far they can trust the numbers in their GA4 reports, are about to set it up, or want their current setup audited. The data model, limits, settings and connections we describe are based on the official documentation in the Google Analytics Help Center; the sources are listed by number at the bottom of the page. We verified product names, dates and limits against the source as of September 2026. Our own field observations are in the boxes headed “Expert note”.
Our GA4 work runs in three layers: setup and the data model, reporting and analysis, and integrations and consent. We run markention.com’s own measurement on GA4 and Google Tag Manager too.
What is Google Analytics 4 (GA4), and what did it change from Universal Analytics?
GA4 (Google Analytics 4) is Google’s measurement platform that collects interactions on websites and apps as events, and it has replaced Universal Analytics. Standard Universal Analytics properties stopped processing data on 1 July 2023; from the week of 1 July 2024, access to these properties’ current and historical data was also shut off.1 According to Google, Universal Analytics data that wasn’t exported is permanently deleted and can’t be recovered.1
In GA4, the unit of measurement is the event: a specific interaction or occurrence, such as a page load, a link click, a purchase or an app crash, is recorded as an event.2 Events fall into four types:2
Automatically collected events: events that come by default when Google Analytics is installed on a site or app.
Enhanced measurement events: events collected when the enhanced measurement setting is on.
Recommended events: events you implement, but whose name and parameters Google has defined in advance.
Custom events: events you define for situations no other type covers.
Our order when choosing events: automatic and enhanced measurement, then recommended events, and custom events last. Google also recommends custom events only when no other event does the job; custom events don’t appear in most standard reports, and analyzing them needs a custom report or an exploration.2
How does the event-based data model work?
In the event-based model, every record makes sense through three parts: the event that describes what the user did, the parameter that carries the detail of that action, and the user property that describes the user themselves.3
Component
What it describes
Example
To use it in reports
Event
The action the user took
generate_lead, purchase
Reported directly by event name
Event parameter
The detail of the action
The form submitted, the order value
If not predefined, registered as an event-scoped custom dimension or metric
User property
Information about the user
Customer type, membership level
Registered as a user-scoped custom dimension
Sending a parameter isn’t enough to see it in reports: to use custom data in reports and advertising, you create a custom dimension or metric; the definition becomes usable after 24 to 48 hours.3 A standard property can define up to 50 event-scoped and 25 user-scoped custom dimensions.3 Writing an ID unique to each user into a custom dimension isn’t recommended; the User-ID feature is used for that.3 Because of these limits, we count custom dimensions in advance in the event plan and don’t open dimensions “because we might need them later”.
Most events are sent in batches of up to 20 events; each request has a 16 KB limit for event data, and if a batched request exceeds this limit, the batch reaches the server but isn’t processed.2 Events that build up while a device is offline are sent once it reconnects; however, events that don’t arrive within the day they were triggered plus the following two calendar days are ignored.2
In what order is a GA4 setup done?
A Google Analytics setup starts with writing down the questions the reports will answer and the events needed for them; the account, data stream, tag, settings and verification follow that plan. Data starts flowing as soon as the tag is added; a misnamed event or missing parameter, though, builds up in reports as split data until it’s fixed.
Account and property: we open the Analytics account and property in your company’s name, and set the time zone and currency for your business.
Data stream: we create a web data stream for the site and, if you have apps, app data streams.
Tag: we usually set up the Google tag through Tag Manager; we explain the tag, trigger and variable structure in detail on our Google Tag Manager page.
Enhanced measurement: we assess options such as scrolls, outbound links and site search one by one, and turn off those with no counterpart on the site.
Event plan and key events: we send the planned events and mark the events that matter to your business as key events.
Retention period: on day one, we choose the data retention setting, which sets how far back explorations can look, to fit your needs; when the period is extended, it applies only to data not yet deleted.9
Verification: we check the events a user triggers, with their parameters, in DebugView, and event counts for the last 30 minutes in the real-time report.2
Which events should be measured: recommended events and the event plan
Events to measure are chosen according to your business questions, starting with Google’s recommended events; recommended events aren’t sent automatically because they need extra context to be meaningful, so they’re implemented separately on the site.4 Google recommends sending these events with their prescribed parameters; that way reports show more detail and you can benefit from future features and integrations.4 Recommended events are grouped by business model:4
Business model
Examples of recommended events
What it gives you
All properties
login, sign_up, search, generate_lead, purchase
Measurement of core actions regardless of industry
Feeds the Lead acquisition report; for businesses whose sales close offline
Google recommends lead events when you want to measure the whole online and offline lead funnel, and considers them useful for businesses where conversion happens offline, such as B2B, automotive and insurance sales.4 A submitted form is recorded as generate_lead, a qualified lead as qualify_lead, and a lead that becomes a customer as close_convert_lead.4 In long sales cycles, counting only form submissions means managing budget without knowing lead quality.
An event plan row
Every row in the event plan has five columns: the event name (Google’s name if it’s a recommended event), where and under what condition it fires, the parameters sent, the custom dimension each parameter is registered under, and whether the event is a key event. An event with no row in the plan doesn’t go into the setup; a plan row with no counterpart in the setup counts as missing at handover.
What is a key event, and how is it different from a conversion?
A key event is an event that measures an action important to your business’s success and is marked for that purpose in GA4; “conversion” now describes the action used to measure ad campaign performance and feed bidding strategy.5 Google announced this split on 27 March 2024; the reason was that events marked as conversions in Analytics were measured differently from Google Ads conversions, creating inconsistency between the two platforms.5 Since 12 June 2025, when lead generation is chosen as the business objective, qualified and converted lead events are configured as key events automatically; sending the data for these events is still the setup’s job.5
The order in practice: the event is collected, marked as a key event if it matters to your business, and, if it will be used in bidding strategy, a conversion based on that key event and consistent across both platforms is created through the Google Ads link.6
Not every key event becomes a conversion
Reading to the end of the pricing page can be a key event for understanding behavior; the event to give smart bidding as a signal, though, is the one that pays off for the business: a submitted lead form or a purchase. Inflating the signal that steers ad budget with intermediate steps points the algorithm toward the easiest action.
What do reports and explorations show, and why does data look incomplete?
Standard reports let you monitor core metrics; explorations let you reach data and analysis techniques not available in reports, and answer complex questions.7 Data thresholds can hide rows on both surfaces;8 in explorations, sampling and the retention period limit can be added on top.79 Explorations can use free form, cohort, funnel, segment overlap, user explorer, path and user lifetime techniques; up to 10 segments can be applied to an exploration.7
What you see
Why
What we do
The icon in the exploration’s corner turns from green to yellow
If the query includes more than 10 million events, the exploration may be based on sampled data; the icon also turns yellow when a threshold is applied7
We split the date range and, if needed, do the same calculation on raw data in BigQuery
Some rows or cards are hidden
In reports with demographic data or search queries, data thresholds are applied to protect identity; thresholds are system-defined and can’t be adjusted8
We widen the date range and flag thresholded figures in the report
An exploration comes up empty going back in time
The retention period affects only explorations and funnel reports; standard aggregated reports aren’t affected9
We set the retention period during setup and keep long-term analysis in BigQuery
Properties keep 2 months of data by default.7 In a standard property you can choose 2 or 14 months; Analytics 360 also offers 26, 38 and 50 months for event data.9 In a standard property that exceeds event collection limits and moves to the Large class, the event-level period drops to 2 months automatically.9 When the period is shortened, affected data is deleted in the next monthly process; age, gender and interest data always get a 2-month period regardless of the setting.9
What do the Google Ads and Search Console links change?
The Google Ads link shows the loop from ad click to key event in one place; the Search Console link shows which on-site behavior organic search queries and rankings turn into.610 With the Google Ads link, you can create conversions based on key events, track the performance of Google Ads conversions, and reach users again based on their behavior on the site.6 The link requires at least the editor role at property level in Analytics and administrative access in Google Ads; Google Ads data arrives in reports within 48 hours of linking.6 For remarketing, at least one of Google signals or user-provided data collection must be turned on in the property.6 When personalized advertising is turned on in the link, events such as add_to_cart, begin_checkout, session_start and view_item are also marked as key events in the property;6 that’s why we review the list again after linking.
The Search Console link adds two reports to Analytics: Google organic search queries and Google organic search traffic.10 Because Search Console keeps 16 months of data, these reports also go back at most 16 months, and data appears 48 hours after it’s collected in Search Console.10 Search Console metrics can be used, apart from Search Console dimensions, only with the landing page, device and country dimensions; a web data stream links to only one Search Console property, and the report collection comes unpublished by default.10 After linking, we publish the collection from the Library and read landing pages together with key events.
To see GA4, Google Ads and Search Console data on one screen in decision meetings, we build Data Studio (called Looker Studio from 2022 to 2026) dashboards; we cover dashboard design on our Data Studio reporting page.
When do you need the BigQuery export?
The BigQuery export is set up when you need to answer, with raw event data, questions the interface can’t answer because of sampling, thresholds or the retention period, or to combine GA4 data with other business data. Google Analytics can export all raw events in the property to BigQuery; the exported data is yours, and access to it is managed with BigQuery permissions.11 The daily export exports all the data once a day; if you need near real-time data during the day, the streaming export can also be chosen.11
In standard properties, the daily export is limited to 1 million events a day; the streaming export has no volume limit, but is subject to extra BigQuery charges.11 To stay under the limit, you choose which data streams to export and leave specific events out of the export; if the limit is exceeded consistently, the daily export is paused and earlier days aren’t reprocessed.12 The export can also go to the free BigQuery sandbox; charges apply once the sandbox limits are exceeded.11 Data in BigQuery can differ from numbers in the interface because it doesn’t include the processing Google Analytics adds to standard reports and explorations.11 Data from Google signals isn’t exported to BigQuery8; behavioral modeling in Consent Mode isn’t applied to exported data either,13 but the cookieless pings sent when consent is denied are included in the export as raw events.11
How does Consent Mode affect GA4 data?
Consent Mode takes the visitor’s choice in the cookie banner and adjusts how Google tags behave: when analytics storage consent (analytics_storage) is denied, tags don’t read or write first-party analytics cookies.14 In that case, GA4 can’t associate the visitor’s events with a persistent user identifier.13 Google explains this gap with an example: when consent isn’t given, you can’t observe whether 10 page view events came from 10 users or from a single user.13 Behavioral modeling fills this gap by estimating it with machine learning from the behavior of similar users who did consent.13
Modeling isn’t turned on in every property. To be eligible, Consent Mode must be implemented on all pages so that tags load before the consent banner and run even if the visitor doesn’t consent (the advanced implementation).13 In the basic implementation, which blocks tags until consent is given, no data comes from visitors who don’t consent and no behavioral modeling is done.14 The property must also collect at least 1,000 events a day with analytics_storage=’denied’ for at least 7 days, and at least 1,000 users a day with analytics_storage=’granted’ for at least 7 of the last 28 days.13 Meeting these conditions doesn’t guarantee eligibility either; modeled data isn’t used in audiences, cohort and user lifetime explorations, sequence segments or the BigQuery export.13 To see modeled data in reports, “Blended” is selected as the reporting identity.13
Consent Mode doesn’t replace collecting consent: the visitor makes the decision, and Consent Mode makes sure it reaches the tags correctly.
How GA4 consulting works in the first 30 days
The first 30 days are spent auditing and fixing measurement and turning on links, before any new reports are produced.
Week 1 · Audit: property settings, data streams, the retention period, Consent Mode and existing events are audited; double counting and missing events are reported in writing.
Week 2 · Event plan: your business questions are turned into events, parameters and key events; the plan is submitted for your approval.
Week 3 · Setup and verification: events are set up, custom dimensions are registered, and counts are compared in DebugView and against real order or lead records.
Week 4 · Links and reporting: the Google Ads, Search Console and BigQuery links are turned on; the first decision dashboard and the monthly reporting rhythm are set.
How to choose a GA4 consultant or agency
A GA4 setup can take a day; whether you can trust the reports depends on the verification that follows. The options for who handles your Google Analytics work compare like this:
Option
Strength
What to watch
Freelance GA4 specialist
Deep knowledge of setup and event plans
Tying reports to decisions and ad accounts is often out of scope
Ad agency
Runs Google Ads and GA4 together
Key events should be verified against real records, not inflated to suit ad targets
In-house analyst plus a consultant
The team that knows the business data best, with outside review
The event plan and setup documents should stay with the team
Property ownership: the Analytics account, property and BigQuery project are opened in your company’s name; the partner is added as a user.
A written event plan: why each event is measured, its parameters and whether it is a key event are delivered in one table.
Verification against records: lead and sales counts in GA4 are compared with CRM or order records, and any gap is explained in writing.
Honest reporting: thresholded, sampled or modeled data is flagged in reports, and campaign breakdowns built on UTM parameters are read with those limits in mind.
Consent and privacy: how Consent Mode is set up and how visitors who don’t consent affect reports are explained clearly, including Türkiye’s data protection law (KVKK) where it applies.
Each data stream needs its own setup and verification
Breadth of the event plan
Lead funnel, ecommerce events and the number of custom dimensions
State of the current setup
A double-counting or incomplete property is audited and fixed first
Links
Google Ads, Search Console, BigQuery and Data Studio dashboards
Reporting rhythm
A one-off setup, or monthly reports and decision meetings
We work out the scope together in the first meeting and then send a written proposal. If usage beyond BigQuery’s free limits or a paid service such as Analytics 360 is needed, it’s opened in your name and paid directly to Google.
GA4 setup pricing: estimated ranges
Scope
Specialist effort
Estimated fee (excl. VAT)
GA4 setup: standard website, measurement plan
12–16 hours, one-off
$1,200–$1,800
Ecommerce GA4: purchase events, product data
16–24 hours, one-off
$1,700–$2,700
GA4 audit
6–10 hours, one-off
$600–$1,100
Monthly measurement maintenance
~4 hours / month
$300–$500 / month
Estimated range, excluding VAT; rows marked “/ month” are monthly, the others are one-off. Scope is confirmed in a written proposal after the first meeting. As of October 2026.
If you’d like to review the current state of your measurement together, pick a meeting day that suits you below; in the first meeting we clarify your current setup, the answers you expect from reports and your priorities.
GA4: frequently asked questions.
What is GA4 (Google Analytics 4), and how is it different from Universal Analytics?
GA4 is Google’s measurement platform that replaced Universal Analytics; it collects interactions on websites and apps as events. The main difference is the unit of measurement: every action, such as a page view, form submission or purchase, is recorded as an event together with parameters that carry its detail. Standard Universal Analytics properties stopped processing data on 1 July 2023, and access to these properties’ data was shut off in the week of 1 July 2024. Because data not exported from the old property in time can’t be recovered, we build comparisons on GA4’s own data.
How much do GA4 setup and consulting cost, and what is the price based on?
The fee depends on the number of sites and apps, the scope of events to measure, the state of the current setup, and connections such as Google Ads, Search Console and BigQuery. We work out the scope in the first meeting, then send a written proposal. If usage beyond the BigQuery sandbox limits or a paid service such as Analytics 360 is needed, it’s paid through the account opened or the contract made in your company’s name, separately from our fee. Estimated ranges are in the pricing table on this page; the final fee is set in a written proposal.
How long does a Google Analytics setup take?
On a typical site, we run the work within the first 30 days with a four-week plan: audit, event plan, setup and verification, and connections. Data starts arriving the moment the tag is added, but newly registered custom dimensions become usable in reports after 24 to 48 hours. Google Ads data appears within 48 hours of linking, and Search Console data 48 hours after it’s collected. Multilingual sites, apps or multi-step checkout flows lengthen the timeline; we clarify this while setting the scope.
We already have a GA4 property; do you set it up from scratch?
No; we audit the existing property first. Deleting the property and opening a new one doesn’t carry historical data over, so problems are mostly fixed in the same property by correcting event names, key events, custom dimensions and the tag setup. In the audit report we list, one by one, events that are double-counted, missing or misnamed, and settings such as the retention period. We show the periods before and after the fix separately in reports.
Why don’t the numbers in GA4 match the conversions in Google Ads?
The two platforms can measure the same action differently; Google split the terms on 27 March 2024 because of exactly this inconsistency: events marked as conversions in Analytics were measured differently from Google Ads conversions. Now, events important to your business are called key events in GA4, and actions that measure ad performance and feed bidding strategy are called conversions. For consistent numbers, we create the Google Ads conversion based on the GA4 key event through the link. We also explain differences such as attribution settings, consent state, modeling and reporting delays in the report.
Why do some data in reports look hidden or approximate?
There are three reasons: data thresholds applied to protect identity in reports with demographic data or search queries, sampling in exploration queries with more than 10 million events, and the data retention period. Thresholds are system-defined and can’t be adjusted; widening the date range can make a threshold less likely to appear. In a standard property, the retention period can be set to 2 or 14 months and affects only explorations and funnel reports. We flag these situations in our reports and, when needed, do the calculation on raw data in BigQuery.
How do cookie consent and KVKK affect GA4 measurement?
Events from visitors who reject analytics cookies aren’t associated with a persistent identifier, which creates gaps in reports. Consent Mode passes the visitor’s choice to Google tags, and in properties that meet certain traffic conditions, behavioral modeling fills this gap with estimates. This requires Consent Mode to be set up with the advanced implementation; meeting the conditions doesn’t guarantee eligibility on its own. We set up and verify Consent Mode; the final assessment of the privacy notice and obligations under KVKK (Türkiye’s data protection law) is made by your legal counsel.
Do we really need the BigQuery export?
Yes, if you’re asking questions the interface can’t answer because of thresholds, sampling or the retention period, or you want to combine GA4 data with CRM or order data. In a standard property, the daily export is limited to 1 million events a day and is paused if the limit is exceeded consistently; the export can also go to the free sandbox, with charges once its limits are exceeded. The export starts within 24 hours of setting up the link, and because we haven’t seen an option in the interface to backfill days before the link, we recommend turning it on early. If a decision is made not to turn it on, we write that decision and its reasoning into the scope.
How do the contract term and commitment work?
We settle the term, scope and reporting rhythm of the work in a written proposal after the first meeting. Our recommendation is to devote the first month to the audit, event plan and setup verification, with monthly reporting and maintenance continuing after that. The event plan, audit report and setup documentation are handed over to you in every case.
Who runs the GA4 work?
The markention team runs the work. We’re a marketing and business development operation added to your company as a module; measurement is one of this operation’s modules. We handle the audit, event plan, tag setup, verification, connections and reporting. If a developer or agency works on your site, we release changes in coordination with them, following their release process. We also settle who your contact on our team will be in the first meeting.
Who keeps the GA4 property and the other accounts?
The Google Analytics account and property, the Tag Manager container, the Google Ads account, the Search Console property and the Google Cloud project where BigQuery lives are opened in your company’s name and stay with you. We work in these accounts as authorized users. If the work ends, our access is removed; the data, event plan and setup documentation stay with you.
Should we work with a GA4 specialist or an agency?
It depends on whose decisions the data will serve. If you only need setup and an audit, a GA4 specialist may be enough; if reports need to feed ad budgets, SEO and monthly decisions, a team that runs measurement together with marketing moves faster. Whichever you choose, the property, the event plan and the BigQuery project should stay in your name.
Is it enough to set up Google Analytics ourselves?
It’s enough to add the tag and start collecting data. What usually goes missing is the event plan, verifying key events against real records, the data retention setting and Consent Mode; when these are fixed later, past data doesn’t change retroactively. If you set it up yourselves, we audit the property and report in writing what’s right and what’s missing.
How will we receive reporting, and what can’t we see in reports?
Every month we deliver a report covering key events, channel and page breakdowns, measurement health and recommended decisions; we gather the indicators to monitor continuously in a Data Studio (called Looker Studio from 2022 to 2026) dashboard. Events from visitors who don’t consent aren’t associated with a persistent identifier; unless behavioral modeling is active, these events don’t enter reports. Thresholded rows are hidden, periods beyond the retention period don’t appear in explorations, and Search Console data goes back at most 16 months. In the report we state clearly which figure comes from which source and where data is missing.
The rhythm of the operation: month, week, day, hour.
Every project has one mentor and two specialists. The tools we use: Claude, Search Console, Semrush, Yandex, Screaming Frog, Google Analytics, ChatGPT · Codex, Google Ads, Ahrefs, Data Studio, Merchant Center, Google Trends, Meta Business, Google Business Profile. We check your Search Console and Analytics every day; Merchant Center one day a month, and the other tools come in as the calendar requires.
Mentor
28 days with markention
2 strategy meetings · a live Data Studio report, 24/7 · 8 operations meetings · plus opportunity-driven work as it comes up
Week 1Meeting with you
Week 2Your Data Studio report
Week 3Meeting with you
Week 4Your Data Studio report
10:00MonPlanningMonday, week 1: We plan your weekWe open the month by checking your product feed in Merchant Center, then set the week’s priorities in our 10:00–11:00 team meeting.
TueStrategyTuesday, week 1: Your strategy sessionYour mentor and specialists get together: we review where your project stands, discuss ideas and prepare the agenda for Thursday’s meeting with you.
WedCrawlWednesday, week 1: Technical crawl of your siteWe crawl your site end to end with Screaming Frog: broken links, redirects and indexing issues go onto your task list.
ThuMeetingThursday, week 1: Meeting with youWe meet every two weeks. Your mentor and two specialists are at the table; we record the meeting and write down the decisions.
16:00FriWrap-upFriday, week 1: Weekly reviewWe close the week with our 16:00 team review: what was done and what comes next.
10:00MonPlanningMonday, week 2: We plan your weekWe start the day by reviewing your Google Ads and Meta Business accounts, then set the week’s priorities in our 10:00–11:00 team meeting.
TueBacklinksTuesday, week 2: Your link profile auditWe review your link profile with Ahrefs and separate gained, lost and risky links.
WedMarketWednesday, week 2: Your market and competitor researchWe scan your market and competitors with Semrush: rankings, new opportunities and lost queries go onto your task list.
ThuReportThursday, week 2: Your Data Studio reportWe crawl your site again; in the week without a meeting we send your report together with your updated dashboard, which brings together 310 distinct data types.
16:00FriWrap-upFriday, week 2: Weekly reviewWe close the week with our 16:00 team review: what was done and what comes next.
10:00MonPlanningMonday, week 3: We plan your weekWe start the day by checking your visibility on Yandex and your Google Business Profile, then set the week’s priorities in our 10:00–11:00 team meeting.
TueStrategyTuesday, week 3: Your strategy sessionYour mentor and specialists get together: we review where your project stands, discuss ideas and prepare the agenda for Thursday’s meeting with you.
WedAIWednesday, week 3: Your brand in superintelligence answersWe check how your brand appears in ChatGPT and Claude answers and add the questions left unanswered to your content plan.
ThuMeetingThursday, week 3: Meeting with youWe meet every two weeks. Your mentor and two specialists are at the table; we record the meeting and write down the decisions.
16:00FriWrap-upFriday, week 3: Weekly reviewWe look at rising searches in your field with Google Trends and close the week with our 16:00 team review.
10:00MonPlanningMonday, week 4: We plan your weekWe start the day by reviewing your Google Ads and Meta Business accounts, then set the week’s priorities in our 10:00–11:00 team meeting.
TueAnalysisTuesday, week 4: Your traffic and conversion analysisIn Google Analytics we look at where your visitors come from and which pages bring conversions; the findings go into Thursday’s report.
WedAI OverviewsWednesday, week 4: Your brand in Google’s AI answersWe check whether your brand is cited as a source in Google’s AI Overviews and AI Mode answers and add the questions left unanswered to your content plan.
ThuReportThursday, week 4: Your Data Studio reportIn the week without a meeting we send your report together with your updated dashboard.
16:00FriWrap-upFriday, week 4: Weekly reviewWe close the week with our 16:00 team review: what was done and what comes next.
Sample flow: if your meeting day is Thursday.
08:00Checking your site09:0010:00Production on your project10:00Our team meeting11:00Production on your project10:00Production on your project16:00Our team meeting10:00Production on your projectDaytimeYour strategy session10:00Production on your projectDaytimeMeeting with you10:00Production on your projectDaytimeYour Data Studio report
Monday·Week 1We plan your week
We open the month by checking your product feed in Merchant Center, then set the week’s priorities in our 10:00–11:00 team meeting.
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