ANALYTICS
Conversion
+30%
Lift sign-up conversion with behavioural data
Session replay locates the drop-off; form fields are re-ordered and re-timed around it.
View the process →Analytics Services
Twenty ways we turn analytics, machine learning and automation into numbers an operator can defend — each one a process: data in, treatment, decision out.
ANALYTICS
Conversion
+30%
Session replay locates the drop-off; form fields are re-ordered and re-timed around it.
View the process →ANALYTICS
Conversion
+18%
A hypothesis queue with significance gating — no more shipping changes nobody can measure.
View the process →ANALYTICS
Conversion
+25%
Zero-result terms mapped to stock, plus a synonym layer, so a search stops being an exit.
View the process →ANALYTICS
Conversion
+12%
Core Web Vitals diagnosed per component; slow elements fixed in order of conversion impact.
View the process →ANALYTICS
Conversion
+8%
Ad-hour data joined to on-site conversion hours; budget moves out of the mismatch window.
View the process →ML
Personalisation & ML
+15%
Player-behaviour embeddings plus an offer-timing model, not a static bundle page.
View the process →ML
Personalisation & ML
+22%
Next-basket prediction drives the follow-on offer instead of hand-picked pairings.
View the process →ML
Personalisation & ML
+40%
Browsing-vector clusters re-order the homepage modules per segment.
View the process →ML
Personalisation & ML
14d
Behavioural-decay features trigger retention actions — several times the win-back rate of blanket coupons.
View the process →ANALYTICS
Growth & CRM
+28%
Broadcast EDMs become tiered journeys, with a dedicated cadence for the high-value tier.
View the process →ANALYTICS
Growth & CRM
+20%
Platform-reported ROAS reconciled against first-party conversions; double-counted channels cut.
View the process →ANALYTICS
Growth & CRM
D8
Retention curves decomposed to acquisition channel, so the weak channel shows itself.
View the process →AUTOMATION
Growth & CRM
+15–30%
Past ad-blockers and ITP, ad algorithms get the full signal back before they optimise.
View the process →ANALYTICS
Growth & CRM
100%
Every campaign link checked against a naming spec; broken chains repaired so no channel loses its credit.
View the process →ANALYTICS
Pricing & Product
+9%
Price-band experiments with competitor price monitoring as the guardrail.
View the process →ML
Pricing & Product
2×
Demand themes mined from public reviews at scale; specs written against real complaints.
View the process →ML
Pricing & Product
−35%
Seasonality and the platform campaign calendar in the model; reorder lead times computed, not guessed.
View the process →ANALYTICS
Pricing & Product
−25%
Returns concentrated by SKU, channel and size mapped first — fixes target the cluster, not the catalogue.
View the process →ANALYTICS
Pricing & Product
NET
Voucher-period orders re-costed with fees and returns, so a campaign is judged by what it kept.
View the process →AUTOMATION
Operations
−40%
Frequent questions clustered and automated; people keep only the high-value conversations.
View the process →ML
Operations
24h
Order patterns and traffic fingerprints watched for anomalies before spend and penalties stack up.
View the process →AUTOMATION
Operations
3d→1h
Every SaaS source lands in one warehouse; figures and charts generate themselves.
View the process →ML
Operations
Top 5
Conversations clustered by complaint theme; the top themes become an owned, ranked backlog.
View the process →ANALYTICS
Operations
5d
Each source sampled for gaps, drift and identifier mess before any AI project is scoped on top.
View the process →INTEL
Market Intelligence
1:1
Image counts, keywords and rating structure compared line by line — know if you lose on page or on price.
View the process →INTEL
Market Intelligence
48h
Public listings logged daily; a cut triggers an alert with a margin guardrail attached.
View the process →INTEL
Market Intelligence
+1Q
Search volume, official statistics and platform signals composed into one leading index.
View the process →Figures are illustrative target ranges for each method; engagements are scoped against your own baseline before any number is promised.