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CASE STUDY TAG MEDIA · AFFILIATE AGENCY

One managed source of truth for affiliate data, without building a data team

MANY PLATFORMS, MANY “TRUTHS”
ONE GOVERNED WAREHOUSE
DELIVERED AS A SERVICE · 0 DATA HIRES
COMPANY TAG Media
PROFILE iGaming affiliate management agency
SERVES Operators across sports betting & casino
WAREHOUSE Google Cloud, managed by Gamblitude
READING TIME 11 minutes
Days → an afternoon CLIENT REPORT TIME
0 data hires HEADCOUNT ADDED
1 source of truth ACROSS EVERY PROGRAMME
6-figure / yr IN-HOUSE COST AVOIDED
01

Overview

TAG Media runs affiliate programmes on behalf of iGaming operators. When a sportsbook or casino would rather not build and staff an in-house affiliate function, they hand the whole thing to TAG Media, who recruit partners, manage relationships, police the commercial terms and report back on what the programme is actually delivering. That model only works if the agency can see, with confidence, how every partner and every programme is performing across all the operators it serves.

The difficulty sits in the data. A single agency managing programmes across several operators ends up sitting on a large amount of performance data, and almost none of it lives in the same place. Each operator tends to run its programme on a different affiliate platform, each platform exports a slightly different version of the truth, and the numbers that matter to a client, namely traffic quality, first deposits, revenue share performance and the long-term value of the players a partner sends, are scattered across systems that were never designed to talk to one another. TAG Media chose Gamblitude to bring all of that into one governed place.

02

The challenge

An affiliate agency lives and dies by the quality of its reporting. Operators outsource their programmes precisely because they want a partner who can prove value, and that proof has to be assembled from data the agency does not fully control. For TAG Media, the day-to-day reality was a familiar one across the industry, where performance figures for different programmes lived on different affiliate platforms, exports landed in spreadsheets, and anyone who wanted to compare one partner against another, or one operator’s programme against the next, first had to spend hours reconciling numbers that did not quite line up.

That created three connected problems:

C1

Reactive monitoring. Nobody could watch performance across every programme at once, because the data only came together at reporting time.

C2

Slow, error-prone comparison. A partner that looked strong on one platform’s definition of conversion might look ordinary once the same metric was calculated consistently.

C3

Reporting ate account managers. Building a clean client report meant manually pulling, cleaning and reconciling exports before any actual analysis could begin.

Underneath all of that sat a harder question, the one every non-technical company eventually runs into. TAG Media is an affiliate marketing business and a relationship business, and it is very good at both, but it is not a data engineering company. Solving the data problem properly would have meant hiring people the agency had never needed before, namely data engineers to build and run a warehouse, analytics engineers to model the metrics, and a BI specialist to maintain the reporting layer, plus the cloud infrastructure and the ongoing maintenance that comes with all of it.

For an agency, that headcount competes directly with the commercial people who actually win and grow client programmes. The realistic options were to keep absorbing the cost of manual reporting indefinitely, or to take on a technical function that sat well outside the agency’s core.

03

The approach

TAG Media decided to treat the data layer as something to buy as a managed service rather than something to build and staff internally. The agency deployed Gamblitude as the single analytics environment sitting on top of every affiliate programme it manages, with the platform connecting to the various affiliate systems and operator feeds and pulling the raw performance data into one dedicated warehouse.

The implementation followed three principles:

P1

One consistent definition of every metric, calculated the same way regardless of which platform the data came from

P2

Account managers answering their own questions and building their own reports, without an analyst or SQL

P3

The whole arrangement running without TAG Media hiring or managing a technical function

In practice, the rollout brought together:

1

A dedicated cloud data warehouse on Google Cloud, with connectors pulling raw data from the different affiliate platforms and operator systems into one place

2

A Metrics layer of governed affiliate KPIs, defined once and applied everywhere — traffic quality, clickout-to-FTD conversion, revenue share and CPA performance, partner contribution to operator revenue

3

An Attributes layer capturing partner and programme characteristics, so performance could be sliced by operator, platform, geography and partner type

4

Dashboards giving each account manager a live view of the programmes they own, with Master Chart and Data Sheets for ad-hoc exploration and reconciliation

5

The AI Agent as the natural way to ask a question in plain language and get the number, the chart and the explanation in one place

6

Insight Radar watching performance across every programme continuously, flagging swings and anomalies that previously surfaced only when someone went looking

7

The Lists module and its webhooks, pushing segments and signals into the tools the agency already uses

The point of the design was that TAG Media added an entire data and analytics capability to its business without adding a single line on the org chart for it.

“We are an affiliate business, and a good one, but we were turning into a part-time data team we never set out to be. Every client report meant someone pulling exports from three or four platforms and stitching them together before they could say anything useful, and the numbers never quite agreed with each other. With Gamblitude we finally have one place where every programme is measured the same way, our account managers can pull their own reports in an afternoon rather than waiting on someone else, and we did not have to go and hire a warehouse team to get there.”

Elaine Gardiner
Elaine GardinerMANAGING DIRECTOR, TAG MEDIA
04

The economics of the decision

For an agency, the build-versus-buy maths is even starker than it is for an operator. An in-house equivalent would have required a small data function from the outset, with at least a data engineer and an analytics engineer to build and model the warehouse, someone to own the BI layer, and the cloud and tooling costs that sit underneath, all of which lands comfortably in the six-figure range per year before the agency answers its first client question with it. Worse, none of that headcount touches the work that grows the business, since it produces reports rather than wins partners or renews operator contracts.

IN-HOUSE BUILD 6-figure / year before the first client question is answered
ON GAMBLITUDE A fraction of that warehouse, semantic layer, AI & monitoring, delivered as a service
CATCH-UP PHASE Skipped affiliate metrics & segmentation already modelled for iGaming

Starting on Gamblitude removed that line item entirely. TAG Media got an iGaming-specific warehouse, a semantic layer with affiliate metrics already modelled, conversational access and continuous monitoring for a fraction of what the in-house build would have cost, and without diverting any of its commercial people into a technical role. The agency kept its investment where it belongs, on the account managers and partnerships that drive revenue, and treated the data problem as infrastructure that someone else runs well.

Quality matters here as much as cost. A generalist data hire starting from scratch would have spent months simply arriving at the affiliate metrics and segmentation patterns that Gamblitude ships with, and would then have spent years maintaining them. TAG Media skipped that entire catch-up phase and started from a baseline built specifically for iGaming.

05

Results

The impact showed up first in the everyday work of producing and defending client reporting, where the agency had been losing the most time.

One source of truth R1 — ACROSS EVERY PROGRAMME

Performance data from the different affiliate platforms and operator feeds now lands in a single warehouse, with every KPI defined once and calculated the same way for every programme. A comparison between two partners, or between one operator’s programme and another’s, is now a genuine like-for-like comparison rather than an argument about whose definition of conversion applies.

Days → afternoon R2 — REPORTING TIME

Client reports that previously meant pulling and reconciling exports across several systems before any analysis could start are now assembled directly from governed data, with account managers building and scheduling them on their own using Dashboards, Reports and the AI Agent. The reconciliation work that consumed the front end of every reporting cycle has largely gone.

Continuous monitoring R3 — SIGNAL, NOT MONTH-END

Insight Radar watches performance across every managed programme and surfaces meaningful movement as it happens — a partner whose quality of traffic has slipped, a programme drifting against its targets, or an unusual swing in first deposits. Account managers now react to a signal rather than discovering a problem at month end.

0 data headcount R4 — A FULL DATA CAPABILITY

The agency runs a full warehouse, semantic layer and analytics environment without having hired a single data engineer or BI specialist, with Gamblitude operating the infrastructure as part of the service. The capability scales as TAG Media takes on new operator programmes, rather than requiring more technical staff each time it grows.

“TAG Media is exactly the kind of business that gets punished by the data problem. They are commercially excellent, they sit on genuinely valuable performance data, and the only reason they could not use it well was that it lived in five different systems and pulling it together was somebody’s full-time job. They were never going to build a warehouse team, and they should not have had to. What we gave them was the data foundation an operator would expect, delivered as a service.”

Wojtek Sznapka
Wojtek SznapkaCEO, GAMBLITUDE
06

Adoption & onboarding

Because the value landed in work the agency already did every day, namely client reporting, adoption was quick and came from the account managers themselves rather than being pushed from the top. The AI Agent became the default way of getting to a number, since asking a question in plain language was faster than opening the right export and rebuilding a calculation by hand.

Within a short period, account managers across the agency were building their own programme dashboards and pulling their own client reports, and the reporting bottleneck that used to sit with one or two more technical people had largely dissolved.

07

Organisational impact

The deeper effect was on where TAG Media spends its time and attention. The agency had been carrying a hidden tax, where commercially focused people lost hours each week to data plumbing that produced no client value, and that tax has now lifted. Account managers spend more of their week on partners and operators and less of it inside spreadsheets, client conversations are grounded in consistent numbers that hold up to scrutiny, and the leadership has a continuous view across the whole book of programmes rather than a picture that only assembled itself at reporting time.

The agency runs a more data-driven operation than many businesses several times its size, and it does so without ever having become a technology company.

08

What stood out

The observation that surprised the agency most was how much performance variation had been hidden by inconsistent measurement. Once every programme was calculated against the same governed definitions, partners and programmes that had looked broadly similar turned out to differ meaningfully in the quality and durability of the players they sent, which is precisely the kind of insight an affiliate agency exists to act on.

The data had always been there. What had been missing was a place to measure it consistently and the time to look.

09

Key takeaways

T1

For an affiliate agency the data problem is a drag on commercial work, and absorbing it as manual effort is a cost that grows with every new programme

T2

Building the capability in-house means a technical function outside the agency’s core, competing for budget with people who win client programmes

T3

A managed service gives the same data foundation an operator would expect, with affiliate metrics already modelled, while attention stays on partnerships

T4

The biggest win is consistent measurement across every programme — comparison only becomes meaningful once every KPI is calculated the same way

T5

With that foundation in place, monitoring becomes continuous rather than reactive — the agency reacts to a signal as it happens, not at month end

“The thing I did not expect was how much of our value had been sitting in plain sight, locked up in data we could not see clearly. We always knew some partners were better than others. Now we can prove it, to ourselves and to our clients, and we can do it the same way every time. For a business like ours, that is the whole game.”

Elaine Gardiner
Elaine GardinerMANAGING DIRECTOR, TAG MEDIA
ABOUT TAG MEDIA

TAG Media is an affiliate management agency for the iGaming industry, running affiliate programmes on behalf of operators across sports betting and casino. The agency recruits and manages partners, governs commercial terms and reports on programme performance, giving operators a fully managed affiliate function without building one in-house.

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