Month 12 / 12
Your monthly revenue at month 12
$18,348
Additional revenue over 12 months
Revenue = Traffic × Conversion × Order value × Frequency
Revenue is the product of four levers, so improvements multiply against each other. Moving three levers by 7% compounds into 22.5% growth. The 12-month curve starts slow, because the first months go into measurement and hypotheses, and flattens as the system matures.
This is a simulation with visible assumptions. Your real opportunity depends on your margins, your conversion rate and your sales cycle.
That money is already in your business. It leaks out through one of these four levers.
Traffic Conversion Order value Frequency
Revenue is the product of all four, so one stuck lever is enough to stop the rest from paying off. We tell you which one is yours, what we would measure, and the experiment we would run first.
How do you handle leads and customers today?
Where it leaks
Traffic
The demand arriving is not enough to fill the pipeline, and what does arrive does not always carry buying intent. Before raising the budget, you need to know which audience and which message produce leads that actually close.
What we would review
Primary metric
Your first experiment
We split your audience into two or three groups with different reasons to buy and run a landing page for each, splitting the same budget. Within three weeks it is clear which segment produces leads that move forward.
Where it starts
Since the data lives in sheets, step one is capturing source and status in a single place. Without that, any measurement of the experiment would be a partial picture.
With follow-up living in scattered conversations, we start by logging every lead automatically without moving your team off their channel. The conversation stays where it is, the record writes itself.
You already have somewhere for this to live, so the experiment starts directly. First we only verify that lead source arrives intact in the CRM, because that is usually where it breaks.
With data spread out, we start by deciding which tool is the source of truth. That agreement unblocks the experiment and stops the result being disputed later over mismatched reports.
This comes from your two answers and a fixed set of rules. Before running any experiment we validate it against your actual data.
Where it leaks
Landing and conversion
You are already paying for that traffic and losing it in the first few seconds. Usually one of three things: the ad promises something the page does not deliver, the form asks for too much, or the page takes too long to open.
What we would review
Primary metric
Your first experiment
We trim the form down to the fields sales actually uses to qualify and move the rest to a second screen. It runs against the current version, comparing conversion and lead quality, so more volume does not mean worse leads.
Where it starts
Since the data lives in sheets, step one is capturing source and status in a single place. Without that, any measurement of the experiment would be a partial picture.
With follow-up living in scattered conversations, we start by logging every lead automatically without moving your team off their channel. The conversation stays where it is, the record writes itself.
You already have somewhere for this to live, so the experiment starts directly. First we only verify that lead source arrives intact in the CRM, because that is usually where it breaks.
With data spread out, we start by deciding which tool is the source of truth. That agreement unblocks the experiment and stops the result being disputed later over mismatched reports.
This comes from your two answers and a fixed set of rules. Before running any experiment we validate it against your actual data.
Where it leaks
Follow-up
Demand exists and conversion works. The problem shows up afterwards: the lead lands in a shared inbox, waits hours or days, and by the time someone answers they are already talking to another supplier.
What we would review
Primary metric
Your first experiment
Every incoming lead gets a reply within the first minute and is assigned to a person by name. It runs against the current process, measuring how many reach a real sales conversation, which is what actually moves revenue.
Where it starts
Since the data lives in sheets, step one is capturing source and status in a single place. Without that, any measurement of the experiment would be a partial picture.
With follow-up living in scattered conversations, we start by logging every lead automatically without moving your team off their channel. The conversation stays where it is, the record writes itself.
You already have somewhere for this to live, so the experiment starts directly. First we only verify that lead source arrives intact in the CRM, because that is usually where it breaks.
With data spread out, we start by deciding which tool is the source of truth. That agreement unblocks the experiment and stops the result being disputed later over mismatched reports.
This comes from your two answers and a fixed set of rules. Before running any experiment we validate it against your actual data.
Where it leaks
Retention
You are paying acquisition every month to replace customers who had already bought from you. Selling again to someone who already trusted you costs a fraction of convincing a stranger.
What we would review
Primary metric
Your first experiment
We design the first 30 days after the sale: confirmation, usage, and a second-step offer timed for the moment the customer has already got value. It runs against customers who do not receive the sequence.
Where it starts
Since the data lives in sheets, step one is capturing source and status in a single place. Without that, any measurement of the experiment would be a partial picture.
With follow-up living in scattered conversations, we start by logging every lead automatically without moving your team off their channel. The conversation stays where it is, the record writes itself.
You already have somewhere for this to live, so the experiment starts directly. First we only verify that lead source arrives intact in the CRM, because that is usually where it breaks.
With data spread out, we start by deciding which tool is the source of truth. That agreement unblocks the experiment and stops the result being disputed later over mismatched reports.
This comes from your two answers and a fixed set of rules. Before running any experiment we validate it against your actual data.
Where it leaks
Measurement
Every budget decision is being made blind. Without campaign, lead and sale connected, whatever looks like it is working may just be the channel that takes credit for the close, while the one generating demand goes unnoticed.
What we would review
Primary metric
Your first experiment
We instrument source on every lead and push it all the way to the sale record, so the report shows revenue per campaign instead of clicks per campaign. From there, budget decisions stop being opinion.
Where it starts
Since the data lives in sheets, step one is capturing source and status in a single place. Without that, any measurement of the experiment would be a partial picture.
With follow-up living in scattered conversations, we start by logging every lead automatically without moving your team off their channel. The conversation stays where it is, the record writes itself.
You already have somewhere for this to live, so the experiment starts directly. First we only verify that lead source arrives intact in the CRM, because that is usually where it breaks.
With data spread out, we start by deciding which tool is the source of truth. That agreement unblocks the experiment and stops the result being disputed later over mismatched reports.
This comes from your two answers and a fixed set of rules. Before running any experiment we validate it against your actual data.
Where it leaks
Integration
The information exists, spread across forms, sheets, the ads platform and somebody inbox. Each team works from a different version of the truth, and opportunities fall through exactly at the seams.
What we would review
Primary metric
Your first experiment
We connect the single most important path you have today, end to end, and let the rest wait. One route working completely teaches more than five half-finished integrations.
Where it starts
Since the data lives in sheets, step one is capturing source and status in a single place. Without that, any measurement of the experiment would be a partial picture.
With follow-up living in scattered conversations, we start by logging every lead automatically without moving your team off their channel. The conversation stays where it is, the record writes itself.
You already have somewhere for this to live, so the experiment starts directly. First we only verify that lead source arrives intact in the CRM, because that is usually where it breaks.
With data spread out, we start by deciding which tool is the source of truth. That agreement unblocks the experiment and stops the result being disputed later over mismatched reports.
This comes from your two answers and a fixed set of rules. Before running any experiment we validate it against your actual data.
Each front moves a different part of the funnel. We start with whichever one holds the bottleneck, and the rest come in as the system asks for them. Find your bottleneck →
Knowing where the opportunity is before spending on it.
We map the real state of the funnel, decide which metric leads, and build the experiment list in order of impact.
First deliverable
A growth model with your funnel measured, the metric that leads, and a 90-day experiment backlog in priority order.
Getting experiments running and measured properly.
Campaigns, pages and content built to test one concrete hypothesis, with the control version always live so there is something to compare against.
First deliverable
One instrumented experiment live, with its control version, its success metric and the rule that decides whether it scales.
So no lead falls between marketing and sales.
The stretch where most money is lost and almost nobody looks. This is where the technical work connects demand to the team that closes.
First deliverable
Your lead journey mapped end to end and an automated follow-up flow, connected to your CRM and running.
Tying every unit of spend to the sale it produced.
Instrumentation from the first click to the deposit, so budget decisions stop being made on instinct.
First deliverable
A live dashboard tying source, lead, sale and revenue, with attribution on your active campaigns.
Which one do we start with?
Your site, your ads, your CRM and your sales team are already producing information. When that information travels end to end, every lead arrives with context and every campaign can be measured against revenue.
Signals that stay trapped in their own tool
Where the information stops living in silos
The part that shows up in the bank account
Advertising
CRM
E-commerce
Automation
Communication
Analytics
Your own systems
If a platform exposes an API or a webhook, we can assess how to connect it. And when the piece you need does not exist yet, our team builds and maintains it.
Growth marketing is a way of working on growth through measurable experiments across four levers: traffic, conversion, average order value and purchase frequency. Because revenue is the product of those four, improvements multiply against each other: moving three levers by 7% compounds into 22.5% growth. The work consists of finding which lever is holding the business back, forming a hypothesis, testing it against a control version, and scaling only what produced a result.
Many businesses start seeing measurable signals between month 2 and month 3, though the timeframe depends on traffic volume, sales cycle, data quality and the type of experiment. The first 30 to 60 days focus on instrumenting measurement, establishing the baseline and running the first experiments: during that stage we report progress and early signals, without presenting immature results as proven growth. The curve accelerates between month 3 and month 8, and levels off around month 12 once the system has matured.
It is calculated by breaking revenue into its four factors and estimating a percentage improvement on each. The formula is Revenue equals Traffic times Conversion times Order value times Frequency. If three of those factors improve by 7% each, revenue grows 22.5%, because the factors multiply against each other. That estimate is a starting point and depends on each business margins, sales cycle and current conversion rate.
You can start from spreadsheets, though the starting point changes depending on your stack. With information in sheets, the first step is capturing source and status in a single place. With follow-up living in WhatsApp or email, every lead gets logged automatically without moving the team off their channel. With a CRM already in place, the experiment starts directly after verifying that lead source arrives intact.
Yes. Grutly integrates with Google Ads, Meta Ads, LinkedIn Ads, HubSpot, Pipedrive, Zoho, Salesforce, Shopify, WooCommerce, Make, n8n, Zapier, WhatsApp Business API, GA4, Tag Manager and Looker Studio. If a platform exposes an API or a webhook it can be connected, and when the integration piece does not exist, it gets built.
The difference is in technical scope and in the unit of measurement. A traditional agency delivers campaigns, content and click reports. Grutly also builds the layer connecting the ad to the CRM and to the recorded sale, so the report shows revenue per campaign. That integration work is developed in house rather than subcontracted.
The numbers in your report come from real people. Someone searching at eleven at night, someone hesitating on the last field of a form.
When growth is built well, it shows in the people holding the business up.
Your projection is attached: —
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