Your data says plenty. We help you hear, decode, and act on it.
No fluff. No vanity metrics. We find the patterns you haven't seen, and solve the problems you didn't know you had. All in the name of new, untapped growth opportunities.
Any of these sound familiar? We've heard the struggles, and we've got the fix.
No Data-Backed Strategy & Insights?
Respectfully, if you're collecting data but aren't doing anything with it, why collect the first place? Maybe saving for when you partner with a data-driven digital agency like us? We'll turn those random numbers into actionable insights that can make decision-making easier than ever.
Disconnected Platform Data?
If your social, search, and email data each live in separate silos, it would be hard to identify their true contributions. Especially if customers engage cross-channel, and via multiple touchpoints. We'll consolidate all these moving parts and paint you the clearest picture of performance you've ever seen.
Tracking & Attribution Confusion?
Messy or incomplete tracking is as good as being lied to. And by your own data! When it comes to thriving in digital, brands need to rely on their data. We audit your entire tracking set-up and implement clean, accurate measurements — so every click, conversion, and customer gets captured.
Time-Consuming, Convoluted & Manual Reporting?
Don't spend hours pulling numbers and building reports every week. We invest heavy at the start and build you automated reports, live dashboards, and real-time data breakdowns. Which means your reporting process? Streamlined and stress-free, visualised in digestible ways.
Can't Predict The Future?
Not saying we can in a Wednesday Addams wizardry way, but you'd be surprised how much history repeats itself. Our experts love forecasting and predictive modelling — which, in layman's terms, means using your past data to predict trends, revenue, churn, and future campaign performance.
Lacking Industry Specific Context
Googling things like "What is a good CTR?" might give you some answers... But are those answers actually relevant to you? Selling cars vs. concert tickets involve very different metrics. So, we contextualise your data within your industry, vertical, or growth stage — to get you real benchmarks.
Let's Get Cooking
What's on our Data Science menu?
Real-Time Data & Live Dashboard
Spreadsheets are fine but every partnership with DataSauce gets you your own live, bespoke, omnichannel performance dashboard. Loads of buzzwords but the fact is: You're getting a LOT of data. All in one place.
Because let's be real. Manual reporting is tedious and takes up a hefty amount of time. And as much as we like spreadsheets, they get messy fast. That's why we build you automated and dynamic dashboards that centralise your performance data in one slick interface.
Using tools like Looker Studio integrated with GA4, Shopify, Meta Ads Manager, Google Ads, Klaviyo (and every other platform you're on, plus additional custom set-ups), our Data Scientists bring all your results together like a beautiful dinner party. The best part? It's made digestible and jargon-free, tailored according to whatever you want to see / care about.
It's all interactive too, with date range filters for every key metric (incl. ROAS, CTR, CPAs, MER, CAC, Revenue, LTV) at campaign level, ad level, et cetera — visualised in graphs, tables and drill-down views.
Budget Projections & Performance Forecasting
If we ever ask you to invest more in ad spend, this is our guarantee that there's reason behind the rhyme.
Forecasting (especially at the hands of our data scientists) is never about making wild guesses. It’s about making informed predictions using historical data, industry benchmarks, and seasonal trends.
We use statistical modelling (e.g. linear regression, time series analysis, and more platform-native forecasting tools) to estimate future performance based on ad spend.
This allows us to:
- Model best, worst, and realistic case scenarios
- Allocate budgets across channels and funnel stages
- Predict things like breakeven ROAS, target CPA, and profitability
TL;DR — It's strategic planning, backed by numbers, so you can spend comfortably and confidently.
RFM Analysis to Find Your VIPs
"Recency, Frequency, and Monetary Value" — That's what we're referring to here.
A classic model (that we're well-familiar with) which helps us segment your customer base by behaviour. In short, it'll help us calculate if, how many, and when your customers are coming back.
The acronym itself involves:
Recency: How recently did a customer make a purchase?
Frequency: How often are they purchasing?
Monetary: How much are they spending overall?
Using your first-party data (e.g. Shopify, Klaviyo), we'll run this analysis to score customers on each variable, then grouping them into strategic segments like VIPs, at-risk, hibernating, new, high-potential, et cetera.
And from there, the possibilities are endless.
You can now tailor your email flows, ad targeting, messaging or loyalty offers based on real buying behaviour — not gut feel. Meaning extra high-impact retention marketing and room to scale.
Tracking & Attribution Set-Up
If your tracking isn’t rock solid, your strategy’s probably not either. Because odds are, you've been making decisions you think are backed and informed, but aren't necessarily correct. So, all partnerships with DataSauce begin with a full audit of your tracking infrastructure. This includes:
- UTM Hygiene
- Pixel & Tag Installation (Meta, TikTok, GA4, Google Ads, etc.)
- Event Tracking (aka. page views, purchases, button clicks, lead submissions)
- Consent & Cookie Compliance Checks
From there, we configure everything via Google Tag Manager or platform-native integrations, ensuring accurate firing across devices and browsers.
On the attribution side, we'll help you understand different models and identify which best fits your funnel, your goals, and your reporting needs for maximum accuracy. This would look something like:
- First-Touch, which great for top-of-funnel / TOFU attribution.
- Last-Touch, which comes as the default in many ad platforms.
- Data-Driven, that is heavily machine learning-based.
Correlation Analysis & Modelling
Not all data points are created equal — and via correlation analysis, we can mathematically figure out what’s really moving the needle. In its simplest, it's analysing how one metric relates to another.
For example:
- Does email click-through rates impact repeat purchase rate?
- Does investing in TikTok awareness campaigns affect Google search revenue?
- Do product reviews correlate with conversion rate?
- Does increasing ad spend drive better quality traffic onto your website?
Every hypothetical, every assumption, every hypothesis? Tested then proven or debunked.
Our methodology further combines the old with the new, using both traditional correlation analysis methods and R technology (aka. the programming language for statistical computing).
We'll measure the the strength of the linear relationship between two variables and compute their association, essentially digging into the relationships that aren’t obvious on the surface — but matter big time when it comes to optimising creative, spend, and strategy.
Performance Reporting (incl. ROI, MER)
Saved the most important for last. When it comes to your bottom line, we use the expertise of DataSauce's very best to track the metrics that tie directly to what success means for you.
Whether that's big picture ROI (aka. Return on Investment, which is profit divided by cost of marketing) or MER (aka. Marketing Efficiency Ratio, that is total revenue ÷ total media spend), you'll get full transparency always. Not sure how these two differ? No dramas.
ROI is usually by-channel and granular. MER is a top-down view of how efficiently your entire marketing machine is operating. We calculate and visualise both — alongside CAC, LTV, and profit margins — to give you a clear picture of what's scaling sustainably… And what might be bleeding budget.
TL;DR — If you're a brand spending across multiple platforms, this becomes your financial compass.
Ready to make some moves?
All good partnerships have to start somewhere. And for us, that somewhere is usually a call. Drop your details via the button below and leave the rest to us.
Welcome to a day in the life of Crestabella, our Data Lead.
09:00 am
FORECASTING.
Are you ready for lots of investigating, trouble-shooting and advanced configurations?
Because Crestabella's days are filled to them brim with numbers, codes, calculations, and spreadsheets zoomed out to 50% size. Enough to make the average joe throw up.
But Crestabella loves it.
To start her day, she'll first need to run-through the 101 questions and requests our Account Managers have prepared for her. Will she start with some budget projections? Resolve any technical or analytical challenge? Pull data-driven recommendations for an upcoming client meeting? Or build a dashboard from scratch?
She's decided it's forecasting time.
Using historical and statistical models, Crestabella will now smash out some trend analysis. Specifically, of customer behaviours overtime for account optimisations. Toss in some correlation analysis in there as well, where Crestabella investigates whether our campaign strategy is a better bet for long-term growth or short-term bursts.
10:30 am
TRACKING & ATTRIBUTION.
Uh oh! It looks like a new client of ours isn't tracking performance properly, nor taking into consideration multi-touch attribution. Silly!
Crestabella reckons a complete overhaul is best in this situation, and she'll now set-up and configure tracking pixels and tags across various marketing platforms.
Plus, it'll lead nicely into her next task.
11:15 am
DASHBOARD BUILDS.
Crestabella works on EVERY account we have at DataSauce. Maybe the only person who does.
And that's partially because all our client partnerships begin with a bespoke dashboard that Crestabella personally creates for every brand that steps through our doors (literal, digital, metaphorical).
With all access granted, she now has everything we need to build a custom, real-time dashboard and templated report — ones we'll use for weekly, fortnightly, and/or monthly performance reviews. We do this to ensure that all our clients enjoy a unified view of marketing efforts in an easily understandable format.
12:30 pm
So much already done, and it's only lunch time!
Crestabella is actually a proper food influencer on the side — though we won't reveal her double life just yet. Regardless, we know something's good on the menu today.
01:30 pm
STRATEGY BRAINSTORM.
Can't have a brainstorm without one of our biggest brains, can we? For her post-lunch dessert, Crestabella has an internal strategy meeting to jump into.
Today, our media buyers need a little extra oomph to add into an upcoming Quarterly Goals Review.
Where does Crestabella come in? Insights into performance comparisons (YoY, QoQ, and/or by seasonality), plus extra sales funnel analytics. Are there more fun, granular ways we can be segmenting audiences based on RFM analysis? How much should we be spending based on this new target? Do our ads cannibalise direct or organic traffic?
Our questions are endless. Crestabella is thrilled.
02:30 pm
DATA ANALYSIS.
"Could we get spend splits by channel to achieve +20% uplift in online revenue (excluding wholesale) on last FY performance? And if we were to run deals in the coming two months, let's factor in COGS to determine viable offers?"
Yeah, we sure can.
Specifically, Crestabella can. And she'll now crunch the numbers to get those answers.
04:00 pm
DEVELOP TOOLS & TECH.
Last task for the day, and it's an ad hoc project Crestabella just loves doing on the side.
She doesn't just use calculators. She builds them. We're referring to tools like our Content Velocity Calculator (which tells you when an account might experience creative fatigue based on its unique metrics), our Conversion Rate Uplift Calculator (that estimates how much uplift brands can expect through website optimisations), and our MER Calculator (self-explanatory) — so on and so forth!
Crestabella has more in the works, and she's pulling these resources together as we speak.
Real brands, real results. See what we've done.
First in class platform partners
Google Premier Partners
Highest tier in the Google Partner Program, we're in the top 3% of agencies in the ANZ, with exclusive access to new advertising products and dedicated account support — which we'll always extend to you.
Klaviyo Master Platinum Partners
At this level, an email marketing agency is deemed experts in Klaviyo management. Beyond the badge, it means insider strategies straight from the source — giving you an edge in automation, segmentation, all of it.
Meta Business Partners
Feel free to ask them, but Meta loves us. And as badged tier Partners, this means access to a truckload of benefits. Prioritised support, extra tools for success, ad credits, industry insights, beta products, training... Yours now, too.
TikTok Marketing Partners
Given the expertise of our sister-agency Sticki, you know we’ve mastered content. No surprise then that we're TikTok Partners, who enjoy early access to platform insights and ad solutions that keep the brands we rep ahead of the curve.
Gorgias Elite Partners
For customer support that actually converts, we rate Gorgias. And they rate us too — which is why we're Gorgias Elite, in their top 10% of agency partners (aka. pros at integrations, automation set-ups, and CX strategies)
Okendo Gold Partners
We've also gone for Gold with Okendo, because reviews do much more than just sit pretty. This gives us early adopter access to new tech, plus insider knowledge on all things eCommerce and customer relationships.
Microsoft Advertising Partners
Google Ads? For sure. But there's money in Bing too. As Microsoft Advertising Partners, we bring exclusive access to product betas, optimisation sessions, and expert support to help brands scale via this side of Paid Search.
Enough of tooting our own horn.
Get In Touch
"Datasauce are such a creative, strategic and intuitive team. Our recent partnership with them has seen our performance marketing go from strength to strength. It’s refreshing to work alongside an agency that values your success as their own."
"Having worked with many agencies over the years, DataSauce is the clear stand-out. They've helped grow our online revenue an incredible 28 times with solid ROI, and have consistently been a key part of our business success. We're always impressed with the calibre of people. They’re always flexible and act as true business partners, putting our long-term success ahead of any short-term gains."
"Over the last 4 years, our partnership with DataSauce has gone from strength to strength. The team has successfully evolved their offering to include top-notch CRM marketing services with advanced Klaviyo capabilities like A/B testing, RFM analysis, and segmentation strategies. We’re thrilled to see the impact of their work."
"Over the last three years, the DataSauce team have been incredible partners for our brand at 2XU, running our paid activity in multiple overseas markets and here in Australia too. They are very professional and always provide the support we need. We are so happy that we have them as our agency, nothing is too much trouble and their results have been incredible too!"
"Month in and month out, the passionate DataSauce team never ceases to amaze me. They have helped develop our online brand and strive for results that continue to look more and more promising as every week ticks over. Our paid and CRM strategies are entirely down to their hard work and the team complements the brand perfectly."
"The DataSauce team is composed of talented individuals who are very easy to work with and never hesitate to go the extra mile to maximise the value of our investments. A company we can trust and rely on even when things are not going as initially planned."
"We've had an incredible experience working with DataSauce while they assisted and nurtured our CRM and Social Media efforts. We love working with the team, they are real experts, super friendly, and consistently put forward great ideas. They have become key partners to AMF Magnetics. We highly recommend working with DataSauce!"
"Legends! Since partnering with DataSauce, we've seen significant online growth. The team has successfully built and optimised our digital performance strategy to give us clear and transparent results. Like an extension to our team, DataSauce is always flexible and provide insights beyond just the numbers, helping us create meaningful content that engages our audience, whilst maintaining the delicate balance of preserving our brand DNA whilst steering strategic growth."
"As a new business, our success over the last 12 months has been significant. Our brand awareness is building, we have a growing return customer rate, and new market opportunities are presenting. We are incredibly excited for the next chapter as we continue to grow and expand into new markets. DataSauce has been integral to our growth story."
"With DataSauce, we doubled our eCom sales. They have been a great support for a growing brand in a time where growth has been hard to navigate."
"DataSauce has been an integral part of Hairhouse’s digital marketing strategy. Their expertise in paid social performance marketing has been nothing but exceptional. I could not recommend an agency more highly, not only because of skill, but how they treat your organisation like their own."
"It was so good to cut through the noise. Having been burned by so many other agencies, DataSauce was a refreshing change. Trustworthy, result focused, and ultimately they always deliver."
"DataSauce was instrumental in the development of our online marketing capabilities. Their ability to identify the right mix of channels across email, search and device considerations shifting toward a focus on mobile all drove our bottom line hard."
Don't let those burning questions catch fire.
How much would it cost to work with DataSauce?
No two clients are alike, and we aren't a one-size-fits-all agency. Meaning this depends.
When we enter a partnership, DataSauce becomes an extension of your marketing team — not your throwaway digital marketing agency. So, we build bespoke pricing based on your goals, your growth stage, and the level of support you actually need. You can pick and choose from our à la carte service menu, and we’ll craft a strategy (and price) that fits.
You can also find out if we're a good fit here.
DataSauce leans on value-based pricing instead of costing out by time and material.
You're not just buying hours, you’re investing in outcomes. And we price accordingly. But one thing remains for certain: We'll always get your sign-off before charging out any extra costs.
Transparency and alignment are non-negotiables.
What is Data Science?
Data Science is the art (or science!) of extracting meaning and actionable insights from raw data using a combination of statistical analysis, programming, machine learning, and data modelling. It's math, really. But in ways tailored to marketing and revealing things you didn't know prior.
In practice, Data Science helps you:
- Forecast performance using historical trends
- Understand customer behaviour via segmentation and RFM modelling
- Pinpoint drop-off points in your funnel with event tracking and attribution modelling
- Uncover relationships between variables (e.g. ad spend vs. LTV, page speed vs. bounce rate)
- Visualise complex data using dashboards and dynamic reports
We'll work with data from across your ecosystem — eCommerce platforms like Shopify, ad accounts, GA4, heatmaps, CRMs, POS systems, and even offline data sources (which we have agency partners like Lexer to help with) — to then create a single source of truth that powers your strategy.
In short? It’s the foundation of smarter decisions, smarter marketing, and accelerated growth.
What are the most important metrics that get calculated?
We track a lot of metrics. Everything that's involved, actually.
But a few come to mind as direct influences when marketers (like ourselves) work toward granular targeting, informed spend decisions, and consistent growth:
- Marketing Efficiency Ratio (MER): Total Revenue ÷ Total Ad Spend. This gives you a high-level view of how efficiently your entire marketing machine is performing.
- RFM (Recency, Frequency, Monetary Value): This trio helps us understand which customers are most valuable and engaged, so we can segment and retarget based on actual behaviour, never assumptions.
- View-Through Conversions: We track who saw an ad (but didn’t click) and converted later. Often ignored, but absolutely crucial for brand awareness and top-of-funnel (TOFU) campaigns.
- Lifetime Value (LTV): Knowing how much a customer is likely to spend over time helps us plan acquisition budgets, optimise offers, and identify which audience segments are truly worth scaling.
But beyond these four, we also measure things like:
- Channel-specific metrics, like ROAS and CPAs
- Time to second purchase
- Cross-platform attribution and conversion lag
- Demographic / Geographic AOV & LTV variation
Why does all this matter? Because the more we understand your customer behaviour, the more precise we can be with targeting, messaging, and spend.
For instance, if we find that City A has a higher LTV than City B, we can confidently serve premium product offers to that audience — and scale back elsewhere.
Better data = Better segmentation = Better targeting = More sales.
How is data science different from data analytics?
They’re closely related, for sure. But not the same thing.
Data analytics is about examining what has already happened. It’s descriptive. Think dashboards, reports, and performance tracking. It helps us answer questions like:
- What was our conversion rate last month?
- Which channel brought in the most revenue?
- Where are users dropping off?
Data science, on the other hand, goes a step (or ten) further. It’s predictive, diagnostic, and extra informative in a big picture way. It’s about using machine learning, modelling, segmentation, and statistical analysis to uncover patterns, predict outcomes, and drive strategic decision-making. So, think things like:
- What will happen if we double our Meta spend next quarter?
- Which audiences are likely to churn, and how can we prevent it?
- How do price changes affect lifetime value by region?
So, data analytics tells you what’s happened. Data science tells you what’s next — and what to do about it.
Does DataSauce need access to all our data?
Not all of it. But we do need access to the right stuff to actually do our thing. Here’s our usual list of access requirements to deliver insights that matter, though conscious that it can differ on a case by case basis.
- Your eComm platform (Shopify, BigCommerce, etc.) with admin or marketing-level access
- Analytics tools like GA4, Google Tag Manager, and any behavioural analytics platforms (Clarity, Hotjar, etc.)
- Ad platforms: Meta, Google, TikTok, Google Merchant Centre (incl. product catalogue, Pixel, page & CAPI set-up)
- Email & SMS platforms like Klaviyo, Mailchimp, HubSpot, or Omnisend
- Affiliate or customer management tools (Emarsys, Refersion, etc.) and any offline POS data
- Creative assets: Brand guidelines, logos, fonts, colour codes — plus any Figma, Canva, or other design files
- Project management tools you use (e.g. Slack, Trello, Asana, Notion)
- If possible, any previous reports or dashboards you can share.
The more context, the better. And we'll keep everything secure and tidy, as if on NDA.
Can we use your data science services as a one-off project?
Absolutely. Whilst we love long-term partnerships, we’re open to jumping in for one-off data deep dives and projects. Our priority is to collect, analyse and evaluate — it’s then up to you if you want to take those insights and implement them into your strategy. We'll scope it based on your goals and estimated time required.
No lock-in, no stress, just hope on our part if we're being fully honest.
Common types of one-off projects?
- Live dashboard builds to bring all your key metrics into one glorious, real-time view.
- Competitor reports (incl. traffic, creatives, and even breakdowns of their ad spend)
- Market research, segmentation mapping
Or even a quick-fire attribution audit to figure out which channels are actually pulling their weight, as well as whether or not your behind-the-scenes tags and tracking are all set-up right.
What are the benefits of a digital marketing agency like DataSauce analysing my data, instead of doing it myself?
Well, for starters, we'll preface that any account we manage Paid Ads for will get our Data Science services built in.
And secondly, we live and breathe this stuff.
Whilst you could DIY for it all, we've heard stories time and again that, between keeping up with campaign management, product drops, and everything else on your plate, deep-dive analysis often ends up half-done, misread, or buried in a Google Sheet no one opens again.
With DataSauce, you get:
- Experts who know exactly what to look for (and where your blind spots are)
- Pro tools and frameworks that go beyond basic reporting
- Strategic insights and actionable recommendations
- Time back to focus on doing what you do best, while we handle the number crunching
- A fresh, external lens to call out things that internal teams often miss
- Our dashboard, that's gotten rave reviews and rave reviews only.
We don’t just analyse your data.
Being the ones who manage all your advertising platforms, we have all the data and information necessary to connect it to omnichannel creative, media, and growth strategies. Meaning you won't just be learning... You’re earning too.
How will data science and analytics be used to support my brand's digital marketing strategies?
Data science is what takes your digital marketing from “educated guess” to “strategic, accurate predictions” — by relying on your past and existing campaigns to optimise targeting, spend, and uncover more growth opportunities.
We’ll use it to:
- Segment your audiences based on real behaviour
- Predict what’s coming, from LTV to churn risk to next purchase timing
- Track attribution across channels so you know what’s working (and what's not)
- Forecast budget performance before you spend a cent
And build live dashboards so you always have a crystal-clear view of what’s driving results.
How much would it cost to work with DataSauce?
No two clients are alike, and we aren't a one-size-fits-all agency. Meaning this depends.
When we enter a partnership, DataSauce becomes an extension of your marketing team — not your throwaway digital marketing agency. So, we build bespoke pricing based on your goals, your growth stage, and the level of support you actually need. You can pick and choose from our à la carte service menu, and we’ll craft a strategy (and price) that fits.
You can also find out if we're a good fit here.
DataSauce leans on value-based pricing instead of costing out by time and material.
You're not just buying hours, you’re investing in outcomes. And we price accordingly. But one thing remains for certain: We'll always get your sign-off before charging out any extra costs.
Transparency and alignment are non-negotiables.
What is Data Science?
Data Science is the art (or science!) of extracting meaning and actionable insights from raw data using a combination of statistical analysis, programming, machine learning, and data modelling. It's math, really. But in ways tailored to marketing and revealing things you didn't know prior.
In practice, Data Science helps you:
- Forecast performance using historical trends
- Understand customer behaviour via segmentation and RFM modelling
- Pinpoint drop-off points in your funnel with event tracking and attribution modelling
- Uncover relationships between variables (e.g. ad spend vs. LTV, page speed vs. bounce rate)
- Visualise complex data using dashboards and dynamic reports
We'll work with data from across your ecosystem — eCommerce platforms like Shopify, ad accounts, GA4, heatmaps, CRMs, POS systems, and even offline data sources (which we have agency partners like Lexer to help with) — to then create a single source of truth that powers your strategy.
In short? It’s the foundation of smarter decisions, smarter marketing, and accelerated growth.
What are the most important metrics that get calculated?
We track a lot of metrics. Everything that's involved, actually.
But a few come to mind as direct influences when marketers (like ourselves) work toward granular targeting, informed spend decisions, and consistent growth:
- Marketing Efficiency Ratio (MER): Total Revenue ÷ Total Ad Spend. This gives you a high-level view of how efficiently your entire marketing machine is performing.
- RFM (Recency, Frequency, Monetary Value): This trio helps us understand which customers are most valuable and engaged, so we can segment and retarget based on actual behaviour, never assumptions.
- View-Through Conversions: We track who saw an ad (but didn’t click) and converted later. Often ignored, but absolutely crucial for brand awareness and top-of-funnel (TOFU) campaigns.
- Lifetime Value (LTV): Knowing how much a customer is likely to spend over time helps us plan acquisition budgets, optimise offers, and identify which audience segments are truly worth scaling.
But beyond these four, we also measure things like:
- Channel-specific metrics, like ROAS and CPAs
- Time to second purchase
- Cross-platform attribution and conversion lag
- Demographic / Geographic AOV & LTV variation
Why does all this matter? Because the more we understand your customer behaviour, the more precise we can be with targeting, messaging, and spend.
For instance, if we find that City A has a higher LTV than City B, we can confidently serve premium product offers to that audience — and scale back elsewhere.
Better data = Better segmentation = Better targeting = More sales.
How is data science different from data analytics?
They’re closely related, for sure. But not the same thing.
Data analytics is about examining what has already happened. It’s descriptive. Think dashboards, reports, and performance tracking. It helps us answer questions like:
- What was our conversion rate last month?
- Which channel brought in the most revenue?
- Where are users dropping off?
Data science, on the other hand, goes a step (or ten) further. It’s predictive, diagnostic, and extra informative in a big picture way. It’s about using machine learning, modelling, segmentation, and statistical analysis to uncover patterns, predict outcomes, and drive strategic decision-making. So, think things like:
- What will happen if we double our Meta spend next quarter?
- Which audiences are likely to churn, and how can we prevent it?
- How do price changes affect lifetime value by region?
So, data analytics tells you what’s happened. Data science tells you what’s next — and what to do about it.
Does DataSauce need access to all our data?
Not all of it. But we do need access to the right stuff to actually do our thing. Here’s our usual list of access requirements to deliver insights that matter, though conscious that it can differ on a case by case basis.
- Your eComm platform (Shopify, BigCommerce, etc.) with admin or marketing-level access
- Analytics tools like GA4, Google Tag Manager, and any behavioural analytics platforms (Clarity, Hotjar, etc.)
- Ad platforms: Meta, Google, TikTok, Google Merchant Centre (incl. product catalogue, Pixel, page & CAPI set-up)
- Email & SMS platforms like Klaviyo, Mailchimp, HubSpot, or Omnisend
- Affiliate or customer management tools (Emarsys, Refersion, etc.) and any offline POS data
- Creative assets: Brand guidelines, logos, fonts, colour codes — plus any Figma, Canva, or other design files
- Project management tools you use (e.g. Slack, Trello, Asana, Notion)
- If possible, any previous reports or dashboards you can share.
The more context, the better. And we'll keep everything secure and tidy, as if on NDA.
Can we use your data science services as a one-off project?
Absolutely. Whilst we love long-term partnerships, we’re open to jumping in for one-off data deep dives and projects. Our priority is to collect, analyse and evaluate — it’s then up to you if you want to take those insights and implement them into your strategy. We'll scope it based on your goals and estimated time required.
No lock-in, no stress, just hope on our part if we're being fully honest.
Common types of one-off projects?
- Live dashboard builds to bring all your key metrics into one glorious, real-time view.
- Competitor reports (incl. traffic, creatives, and even breakdowns of their ad spend)
- Market research, segmentation mapping
Or even a quick-fire attribution audit to figure out which channels are actually pulling their weight, as well as whether or not your behind-the-scenes tags and tracking are all set-up right.
What are the benefits of a digital marketing agency like DataSauce analysing my data, instead of doing it myself?
Well, for starters, we'll preface that any account we manage Paid Ads for will get our Data Science services built in.
And secondly, we live and breathe this stuff.
Whilst you could DIY for it all, we've heard stories time and again that, between keeping up with campaign management, product drops, and everything else on your plate, deep-dive analysis often ends up half-done, misread, or buried in a Google Sheet no one opens again.
With DataSauce, you get:
- Experts who know exactly what to look for (and where your blind spots are)
- Pro tools and frameworks that go beyond basic reporting
- Strategic insights and actionable recommendations
- Time back to focus on doing what you do best, while we handle the number crunching
- A fresh, external lens to call out things that internal teams often miss
- Our dashboard, that's gotten rave reviews and rave reviews only.
We don’t just analyse your data.
Being the ones who manage all your advertising platforms, we have all the data and information necessary to connect it to omnichannel creative, media, and growth strategies. Meaning you won't just be learning... You’re earning too.
How will data science and analytics be used to support my brand's digital marketing strategies?
Data science is what takes your digital marketing from “educated guess” to “strategic, accurate predictions” — by relying on your past and existing campaigns to optimise targeting, spend, and uncover more growth opportunities.
We’ll use it to:
- Segment your audiences based on real behaviour
- Predict what’s coming, from LTV to churn risk to next purchase timing
- Track attribution across channels so you know what’s working (and what's not)
- Forecast budget performance before you spend a cent
And build live dashboards so you always have a crystal-clear view of what’s driving results.
Browse our services (aka. our sauces, if you will)
Ready to make those big goals a reality?
Chat With Our Team
PUSHING BOUNDARIES, TOGETHER
PUSHING BOUNDARIES, TOGETHER
PUSHING BOUNDARIES, TOGETHER
PUSHING BOUNDARIES, TOGETHER
PUSHING BOUNDARIES, TOGETHER
PUSHING BOUNDARIES, TOGETHER
PUSHING BOUNDARIES, TOGETHER
PUSHING BOUNDARIES, TOGETHER
PUSHING BOUNDARIES, TOGETHER
PUSHING BOUNDARIES, TOGETHER
DataSauce is a full service digital marketing agency based in Melbourne, Australia. Via digital and paid channels, we help established brands scale their revenue and online presence.
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