About Us
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
A publisher with no dedicated data function was running campaign reporting manually across five disconnected platforms. Inflexion Analytics deployed one managed, GCP-native analytics layer, and advertiser renewals climbed from the high-40s to around 70%.
The ad-ops team spent days each week building performance reports in Excel per advertiser, with delivery lagging well after each campaign.
Campaign data lived across ad server, GA4, SSP dashboards, an email ESP, CRM and finance, with no automated reconciliation.
Format and timing varied per advertiser, with no structured feedback loop tying performance back to renewal conversations.
Platform and technology costs were not mapped against attributed revenue, making true margin decisions impossible.
Three connected layers replaced the manual stack, each one clickable for detail.
Automated, branded advertiser reports with cross-channel KPI normalisation, vertical benchmarks and AI narrative commentary per campaign.
InternalA P&L view of net margin by channel, tech-stack ROI, advertiser concentration risk monitoring and automated spend alerts.
AgenticAlways-on intelligence watching for CTR and fill-rate anomalies, auto-drafting weekly summaries and rolling revenue forecasts.
Achieved within two quarters of deploying automated, consistent reporting.
Automated same-day dispatch replaced slow manual Excel builds.
Advertisers commit to their next campaigns faster with structured reports.
We map your full data landscape, documenting data availability, quality issues and reconciliation gaps before any build begins.
Data connections and the warehouse are established, dashboards are designed, and AI agents are configured, tested and handed over.
Post-launch, Inflexion manages the full pipeline. Regular reviews identify new data sources to integrate and further agents to configure.
Reports landed well after campaign end, limiting actionability.
Looker-generated reports dispatched on schedule with no manual build.
Sales had no consistent data during renewal conversations.
Plain-English campaign commentary grounded in warehouse data.
Platform fees were not mapped against generated revenue.
Net margin by channel with a cost-efficiency view updated daily.
Let's talk about how a unified analytics and AI layer could work for your business.
Get in touch ›The advertiser-facing layer. Every campaign is reported in the publisher's own brand template, same look, same cadence, same KPI definitions, generated automatically from the unified model. The advertiser experience is consistent; the production effort is zero.
Every advertiser receives a weekly report in the publisher's own brand template, generated directly from the warehouse and dispatched without manual intervention. Impression delivery, viewability, CTR, conversion events and revenue contribution are broken out by placement and creative, shipped same-day, every week.
Different ad systems measure the same metric in subtly different ways. A "view" in GAM is not a "view" in an SSP. We unify these into a single normalised KPI layer, so advertisers compare newsletter and display performance like for like, not vendor-by-vendor approximations.
Every metric is benchmarked against an anonymised, sector-specific peer set, so the advertiser sees not just their viewability, but how it compares to the typical campaign in their vertical. Reporting shifts from "here is what happened" to "here is how you did versus the market".
Each report includes a plain-English summary auto-drafted by Inflexion's narrative agent, grounded in the same dataset the numbers come from. A human reviewer signs off before dispatch, and no raw model output is ever sent to an advertiser.
The internal P&L view. Spend Analytics reconciles every line of platform cost against the revenue it supports, turning the technology stack from a cost centre into a managed margin line.
The dashboard reconciles platform costs, ESP fees, ad-serving costs and allocated headcount against attributed revenue. Margin is calculated at channel, placement and advertiser level, refreshed daily. Leadership can finally answer "which advertiser is actually profitable?" without a week of finance work.
Each line item in the technology stack is mapped to the revenue it enables. Vendors that fail the cost-vs-contribution test surface as candidates for renegotiation or removal, most engagements find two or three whose annual fee exceeds their contribution.
We monitor advertiser revenue concentration daily. When any single advertiser exceeds a set share of direct revenue, a Slack alert is sent to the commercial lead with the underlying breakdown. Concentration risks no longer build silently.
The Spend Watchdog agent compares live spend against the approved budget for each vendor and channel. Variance beyond a threshold triggers an alert before the month closes, not after. Mid-month corrections are now possible.
Always-on intelligence on top of the unified model. A small fleet of specialised agents watches the data continuously and surfaces what matters, so the team intervenes when it counts, not when it is reviewed.
Watches CTR, viewability and fill rate continuously and flags statistically significant deviations from the trailing baseline. Alerts route to Slack with the affected campaigns, the delta, and a one-paragraph explanation, the same morning, not two weeks later.
Each Monday a portfolio-level narrative summary is drafted: what moved, why it likely moved, which advertisers need attention. The commercial team reviews and edits before the sales meeting, which now starts with insight, not slide-building.
Produces a rolling forecast with confidence intervals, derived from CRM booking signals, seasonality and historical revenue. It refreshes daily as new bookings land, so the board sees a real range, not a once-a-year target.
Every agent is built, configured, monitored and improved by Inflexion. No prompt-engineering or LLM-ops capability is required from your team. You consume outcomes; we own the engineering.
