Predictive analytics and data automation that turn raw data into decisions.
In short
What is predictive analytics and data automation?
Watch data turn into decisions.
A quick look at how we connect your sources, automate the reporting and put live forecasts in front of the people who make the calls.
- 95
- Forecast accuracy reached
- 80
- Less manual reporting
- 4
- To first live dashboard
- 1
- Source of truth
Everything you need to predict, automate and decide.
AI-driven predictive modelling
Machine-learning models trained on your data to forecast demand, churn, lead quality and revenue with precision, so you act on what is coming rather than what already happened.
Automated data processing
Hands-free pipelines that collect, clean, join and refresh your data on a schedule. Manual spreadsheet work disappears and copy-paste errors go with it.
Real-time dashboards
Live dashboards that turn complex data into plain-English answers, so your whole team sees the same numbers and decides in the moment, not next month.
Customisable reports
Reporting tailored to the metrics that move your business, delivered to the right people on the schedule they need, with no manual building required.
Seamless integration
Connections to the tools you already run, including GA4, Shopify, Xero, HubSpot, Salesforce, SQL and Google Sheets, so everything feeds one reliable source of truth.
Continuous optimisation
We monitor model accuracy and pipeline health, retrain as new data arrives and refine the forecasts over time, so the system gets sharper the longer it runs.
From messy data to confident decisions in three steps.
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01
Data assessment
We map every source you have, audit data quality and pinpoint the decisions where forecasting and automation will return the most, fastest.
-
02
AI implementation
We deploy your custom predictive models and automated pipelines, then wire live dashboards and reports into the tools your team already uses.
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03
Continuous optimisation
We monitor, retrain and refine. Accuracy climbs, automation widens and your reporting keeps pace as the business changes.
What could forecasting and automation be worth to you?
Move the sliders to see the extra leads and revenue a stronger search and AI presence could deliver.
Extra qualified leads / month
+
Extra revenue / month
$
Illustrative estimate. Actuals depend on market, budget and starting point.
Results we have engineered.
Real growth, measured against a baseline. Here is what compounding search, AEO and automation looks like for Australian businesses.
The challenge: Invisible for high-intent local searches, with new work arriving only through referrals.
- +312%
- Organic traffic
- #1
- For 40+ keywords
- 3.1x
- Qualified leads
The challenge: A strong offer that buyers simply never saw inside their AI research.
- Cited
- By ChatGPT & Perplexity
- +186%
- Branded search
- 2.4x
- Demo requests
The challenge: A slow storefront and manual workflows capping both traffic and team capacity.
- +248%
- Organic revenue
- 0.9s
- Largest paint (LCP)
- 15 hrs
- Saved weekly via automation
Results from individual client engagements, measured against each client's own baseline in Google Search Console and Google Analytics 4. Client names are withheld by agreement. Outcomes vary with market, competition, budget and starting point.
Predictive analytics packages, scoped to your data
Pick the level that fits where you are. Every engagement is tailored and quoted to you, with no lock-in and every line tied to an outcome.
Starter
New sites and local businesses getting found.
- Technical and on-page foundations
- Local SEO and Google Business Profile
- Core schema and answer-first content
- Monthly reporting
Growth
Businesses ready to scale search and AI visibility.
- Everything in Starter
- Full SEO plus AEO and GEO
- Content and digital PR
- Conversion tracking and dashboards
- Fortnightly reporting
Scale
Ambitious brands competing nationally.
- Everything in Growth
- AI automation and custom builds
- Paid media management
- Dedicated strategist
- Weekly reporting
We do not publish fixed prices. Every engagement is scoped and quoted to your goals after a free audit, with no lock-in.
Vikilinks vs a typical analytics setup
| Vikilinks | Typical agency | In-house DIY | |
|---|---|---|---|
| Ranks in Google | Yes | Yes | Partial |
| Cited by ChatGPT, Perplexity and Gemini | Yes | No | No |
| Structured data and entity graph | Yes | Partial | No |
| Transparent, real-time reporting | Yes | Partial | No |
| AI automation and time saved | Yes | No | No |
| Core Web Vitals built in | Yes | Partial | No |
| No lock-in contracts | Yes | Partial | No |
Predictive analytics, answered
Predictive analytics uses your historical data, machine learning and AI to forecast what is likely to happen next, such as which leads will convert, when stock will run low or which customers may churn. For Australian businesses it means fewer guesses and earlier decisions: you act on a forecast rather than reacting to a problem. The payoff is tighter cash flow, sharper marketing spend and a measurable lift in revenue per decision.
Data automation removes the manual steps of collecting, cleaning, joining and reporting on data. Instead of staff copying figures between spreadsheets, pipelines pull from every source, validate the records and update dashboards automatically. That typically cuts reporting time by 80 percent or more, eliminates copy-paste mistakes and frees your team for higher-value work. Most clients recover the build cost in saved hours within the first quarter.
You need less than most people think. A few months of clean transactional or behavioural data is usually enough to build a useful first model, and accuracy improves as more data flows in. Where history is thin, we blend your data with sensible benchmarks and start with simpler forecasting before moving to advanced models. We are upfront at the audit stage about what your data can and cannot support today.
Yes. Our pipelines connect to the platforms Australian businesses already run, including GA4, Shopify, WooCommerce, Xero, MYOB, HubSpot, Salesforce, Google Sheets, SQL databases and most CRMs and ad platforms via API. Nothing needs ripping out. We build on top of your current stack so dashboards and forecasts pull from a single, reliable source of truth.
A first automated dashboard or forecast is usually live within two to four weeks, with predictive models maturing over the following one to three months as data accumulates. It absolutely suits small and mid-sized businesses: we scope the build to your size and budget, start with the decisions that move money fastest, and expand only when the return is proven. No lock-in contracts.
Pairs well with
Ready to see what your data knows?
Get a free data audit and a clear plan to forecast smarter, automate the busywork and decide with confidence.
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