When post-launch evidence has to be proactive rather than retrospective
Most major launches lose commercial momentum at the post-launch evidence gap. The launch happens; the internal team moves toward the next launch; the post-launch evidence gets reviewed retrospectively (typically six months after launch) when commercial damage is already structural. Sales data shows underperformance but the explanatory layer is missing. Consumer feedback exists somewhere but is not integrated with the sales evidence. Operational data is held by a different team. The optimisation decisions get made too late to recover momentum, or against incomplete evidence that misses what is actually driving the underperformance.
The structural problem is that post-launch evidence in most brands is reactive rather than proactive: the evidence gets reviewed when problems are visible, not when they are emerging. Early-warning signals are missed because no integrated evidence layer is watching for them. Different teams hold different data without integration, so the picture only assembles when someone deliberately tries to assemble it. The result is post-launch optimisation that runs behind commercial damage rather than ahead of it, with the commercial value of the launch eroding while the team is focused on the next launch rather than the current one.
REVU is the specialist post-launch optimisation methodology for food and drink launches. The work integrates sales data analysis, consumer feedback gathering, operational performance evaluation and market dynamics monitoring into one integrated evidence layer, with senior food and drink specialists running the interpretive layer throughout. Output is post-launch optimisation evidence that surfaces opportunities early and translates post-launch reality into actionable commercial direction, with the methodology designed for ongoing waves across the post-launch period rather than as one-off retrospective review.
It is not the right tool for every brief. If the brief is one-off post-launch retrospective rather than ongoing optimisation evidence, simpler post-launch analysis may be sufficient. If the brief is sales data analysis without consumer evidence integration, internal commercial analytics is more proportionate. If the brief is pre-launch forecasting rather than post-launch optimisation, Volumetrics is the right alternative. REVU sits specifically when the brief is ongoing post-launch optimisation evidence for launches where commercial momentum matters enough to warrant proactive evidence work rather than reactive retrospective review.
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Integrated post-launch evidence rather than siloed data
The structural difference between REVU and most post-launch review work. Most brands hold post-launch evidence in silos: sales data with the commercial team, consumer feedback with the insight team, operational data with the supply chain team. The picture only assembles when someone deliberately tries to assemble it. Our methodology integrates the evidence layer from the start: sales data, consumer feedback, operational performance and market dynamics analysed together rather than separately, with the integration revealing what the siloed evidence cannot. The integration is structural rather than procedural, which is what makes the evidence layer commercially actionable rather than just descriptively complete.
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Early-warning methodology designed for ongoing waves
The proactive orientation. Generic post-launch review handles evidence retrospectively (typically six months after launch when problems are already structural); our methodology is designed for ongoing waves across the post-launch period (typically first wave at eight to twelve weeks post-launch, ongoing waves at six-month intervals where the engagement continues). Decisions get informed by emerging evidence rather than retrospective reckoning. The methodology surfaces early-warning signals while optimisation is still commercially viable rather than after commercial damage is structural.
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Senior food and drink interpretation throughout
The interpretive layer. Post-launch evidence raises the same interpretive question as forecasting: what does this evidence actually mean for commercial decisions. A sales decline might be a structural product issue, a distribution gap, a competitive response, a market shift or a seasonal pattern. The interpretation matters more than the data because the optimisation decision depends on the interpretation. Senior food and drink specialists interpret the post-launch evidence against the specific category, channel and commercial context, which is what makes the optimisation work commercially actionable rather than just descriptively informative.
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Designed to integrate with pre-launch Volumetric forecasting
The methodological continuity. REVU sits naturally alongside Volumetrics across the launch event: Volumetrics provides the pre-launch forecast that commercial commitments are made against, REVU provides the post-launch reality check that informs ongoing optimisation. The two services bracket the launch event with continuous evidence layer rather than treating pre and post-launch as separate engagements. The continuity is what makes the integrated programme work commercially, particularly when launch performance varies from forecast and the team needs to understand why and what to optimise.
Post-launch evaluation for major new product launches
You have launched a major new product and need ongoing post-launch evidence to inform commercial optimisation: did the launch perform as projected, where is the performance varying from forecast, what is driving the variance, what should be optimised. REVU integrates sales data, consumer feedback and operational performance into ongoing post-launch waves scoped against the optimisation decisions the evidence has to inform.
Range optimisation post-launch
You have launched a range and need post-launch evidence to inform range optimisation: which SKUs earn their place, which are underperforming structurally, where the range gaps are, what to consolidate or extend. REVU runs the integrated range-level analysis combining SKU sales performance, range balance evidence, consumer choice patterns and operational implications, with the rationalisation logic defensible against retailer or commercial committee scrutiny.
Menu programme post-launch optimisation
You have launched a foodservice menu programme and need post-launch evidence about real-world menu performance: how the menu is performing operationally, which items earn their menu place, where the operational reality is affecting performance, what the choice patterns reveal about menu balance. The foodservice equivalent of FMCG post-launch optimisation, with the methodology calibrated for foodservice operational reality and operator commercial dynamics.
Pricing and promotion optimisation
You have a launched product or range and need post-launch evidence to inform pricing and promotion optimisation: how price sensitivity is showing up in real ordering patterns, what promotional mechanics are driving sales, where the pricing positioning is supporting or undermining commercial performance. REVU integrates sales response, consumer evidence and competitive context into the pricing and promotion optimisation evidence.
Reformulation trigger identification
You have a launched product and need post-launch evidence about whether reformulation is warranted: where consumer feedback is signalling product issues, what specifically is underperforming, whether reformulation would address the underlying issues or whether the issues are positioning, distribution or competitive. REVU surfaces the reformulation trigger evidence early enough for commercial intervention rather than reactively after structural damage to brand equity or commercial position.
Ongoing portfolio post-launch monitoring
You have multiple launches across the portfolio and need ongoing post-launch monitoring scoped at portfolio rather than individual launch level. REVU runs ongoing portfolio waves with cross-launch comparison, portfolio-level performance evidence, and optimisation recommendations that work across the connected portfolio. Particularly relevant for brand groups managing innovation pipelines where individual launches inform portfolio-level decisions and pipeline coherence depends on visibility across launches.
Three formats. Scoped against the engagement depth and the post-launch optimisation context.
REVU flexes against the engagement depth and the optimisation context. The three formats below are the typical engagement shapes, with the format selected at scoping rather than assumed. Focused post-launch review for one-off post-launch evaluation; ongoing post-launch programme for multi-wave optimisation engagement; portfolio optimisation programme for ongoing portfolio-level work across multiple launches.
Focused post-launch review
One-off post-launch evaluation work, typically scoped at eight to twelve weeks post-launch for early post-launch evidence, or at six months post-launch for established performance review. Cross-functional team scoped to the focused brief; integrated evidence framework against the specific launch context; output focused on the optimisation decisions the work has to inform. Suited to launches where one-off review is sufficient or where the team is testing whether ongoing REVU engagement adds commercial value.
Ongoing post-launch programme
Multi-wave engagement across the post-launch period (typically first wave at eight to twelve weeks post-launch, subsequent waves at six-month intervals, engagement running across twelve to twenty-four months depending on brief). Cross-functional team scoped for ongoing engagement; integrated evidence framework that evolves across waves; sustained interpretive layer holding the cumulative post-launch context. Suited to major launches where ongoing optimisation has substantial commercial value and the launch performance trajectory warrants continued evidence work.
Portfolio optimisation programme
Ongoing portfolio-level work across multiple launches in the brand portfolio, typically running across twelve months or longer as a sustained engagement. Cross-functional team scoped for portfolio-level analysis; integrated evidence framework across the portfolio rather than per individual launch; senior team holds the cumulative portfolio context. Suited to brand groups or portfolio brands where post-launch optimisation matters at portfolio rather than individual launch level, particularly when innovation pipeline coherence depends on cross-launch evidence visibility.
Food and drink is all we do
We are not a generalist analytics consultancy that takes the occasional post-launch brief or a research agency adding post-launch work to existing service. Food and drink is the only sector we work in, and our senior team runs post-launch optimisation for this sector specifically: knowing which performance signals correlate with structural issues versus seasonal patterns, knowing the realistic post-launch trajectories by category, knowing how channel dynamics affect post-launch evidence interpretation. Generic analytics consultancies can integrate post-launch data; sector specialists can integrate it with the interpretive layer that translates the evidence into commercial action.
That focus is why we work with 11 of the UK’s top 40 food and drink brands.
Other ways to launch and scale innovation successfully
REVU is one tool in the broader Launch & Scale Innovation Successfully toolkit. Depending on the brief, one of these might be a better fit, or a stronger partner alongside the post-launch optimisation work.
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Benchmarking Programmes
Specialist benchmarking programmes for food and drink brands needing ongoing competitive context across brand performance, innovation pipeline, consumer perception, channel dynamics and operational reality.
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Product Testing (IHUT, CLTs, in-restaurant)
Specialist consumer product testing for food and drink innovation.
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Qualitative Product Testing
Specialist qualitative consumer evaluation of food and drink products.
View our case studies
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Oscar Mayer
Oscar Mayer needed category understanding in convenience and discount channels that could drive retailer conversations. FIS Group delivered a multi-phase programme combining quantitative, qualitative and innovation expertise, turning research into a commercial asset at the negotiating table.
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Pizza Express
Pizza Express needed trend-led hero dishes for their Christmas 2024 and September seasonal launches. FIS Group delivered a two-phase innovation sprint from concept ideation through kitchen development to full supplier briefing specifications, with all menu items reaching restaurants nationwide on schedule.
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Starbucks
Starbucks needed cross-market ideation around iconic bakery platforms for EMEA, with a focus on winning with Gen Z. FIS Group facilitated a structured innovation workshop with trend-led platforms, generating ten big concepts refined into illustrated, testable briefs now entering NPD pipelines across multiple markets.
FAQs
Earlier than most brands actually do. The structural reality is that most brands commission post-launch optimisation retrospectively (six to twelve months after launch when problems are already structural). The commercial value of early-warning post-launch evidence is highest in the eight to twelve weeks post-launch window, when optimisation decisions can still recover commercial momentum and prevent issues from becoming structural. We typically recommend first wave at eight to twelve weeks post-launch, with subsequent waves at six-month intervals where ongoing engagement is in scope. Brands committed to major launches benefit from scoping REVU before launch rather than reactively after problems emerge.
Multiple data sources integrated: client-side sales data and commercial performance data (where shared), consumer feedback through FIS Group panels and in-context research, operational performance data from client systems (where shared), market and category dynamics data from established sector sources, retailer or foodservice trade data through our channel relationships. The data integration is methodologically scoped against the specific post-launch brief, not generic data application.
Post-launch optimisation evidence scoped for the commercial decisions the work has to inform. Specifically: post-launch performance assessment with integrated evidence across sales, consumer feedback, operational performance and market dynamics, optimisation recommendations with commercial implications, prioritised next steps for ongoing commercial work, early-warning signals flagged for ongoing attention, wave planning for subsequent post-launch waves where the engagement continues. Format agreed at the start so the work feeds ongoing commercial decisions rather than reading as a research report.
Yes, in markets where we have established sector relationships and data infrastructure. UK and European REVU runs through our existing relationships and data sources. Selective US and UAE post-launch work for specific briefs. International post-launch work has higher operational complexity than single-market because the data infrastructure, channel dynamics and consumer evidence calibration vary materially between markets in ways that affect evidence interpretation. We will scope international capability honestly at the scoping call.
Got a launch where post-launch momentum matters enough to warrant proactive evidence work?
Tell us the launch context, the existing evidence available, the commercial decisions the post-launch evidence has to inform, the timing context and the integration with your internal commercial team. We will tell you whether REVU is the right tool, what format makes sense and what it will cost. Where simpler one-off review work, internal commercial analytics with selective support, or another approach would be better, we will recommend the right alternative honestly.