Media mix forecasting & scenario planning

Find the Media Mix
That Balances
Brand and Performance

OptalX forecasts the short- and long-term impact of every media mix scenario, so you can see what you gain and give up before you spend. Direct response and brand equity, side by side, by placement or down to the ad.

Built by former engineers from Meta, LinkedIn, and IBM
Objective Mix
Reach
0%
Engagement
0%
Traffic
0%
View conversions
0%
Click conversions
0%
Qualitative impact
0%
100 of 100 points allocated
Forecasted outcomeEfficient, but limited scale
Efficiency
Scale
Long-term sales lift

Trusted by marketing teams at

Amazon Prime VideoWarner Bros. DiscoveryGuaranteed RateDisney
Why it matters

Short-Term Wins Shouldn’t Cost You Long-Term Growth

Marketing teams are expected to deliver performance today without sacrificing the brand that drives growth tomorrow. But most planning tools optimize for what’s easiest to measure, so spend drifts to the bottom of the funnel and the long-term picture stays out of view.

Efficiency ROAS Cost per acquisition Scale Reach Brand equity lift OptalX finds the balance
The challenge

Brand vs. performance pressure

Teams need short-term results without giving up long-term brand growth, but most tools treat the two separately.

With OptalX

One forecast for both

Balance brand and performance in a single, streamlined planning workflow built for fast-moving marketing teams.

The challenge

Insights stuck at the channel level

Creative drives most of performance, but most models only see channels and campaigns.

With OptalX

As granular as you need

Forecast by channel and placement, or go deeper to connect ads, keywords, and audiences to brand equity.

The challenge

Waiting months for the big picture

Teams optimize daily, but brand impact can take months to surface, leaving long-term strategy in the dark.

With OptalX

Fast, holistic forecasts

Model short- and long-term impact in minutes, with built-in time lags that show how long each stage of the journey takes.

Scenario planning

Every Scenario Is a Give and Take

Put most of your weight on lower-funnel metrics and the forecast looks incredibly efficient, but scale hits a ceiling. Give weight to reach and the picture changes. OptalX lets you run scenario after scenario and see what each one gains and gives up, so you can land on the mix with the best balance of scale and efficiency.

Scenario A

Lower-funnel focus

Click conversions 55View conversions 25Traffic 20
Efficiency
Very high
Scale
Limited
Brand equity lift
Low
Long-term conversion lift
Low
Looks efficient, but growth is capped
Best balance Scenario B

Balanced objectives

Reach 30Click conversions 25View conversions 15Traffic 10Engagement 10Qualitative impact 10
Efficiency
High
Scale
High
Brand equity lift
High
Long-term conversion lift
High
The right mix of scale and efficiency

Illustrative example. Actual forecasts are built from your data and industry benchmarks.

Balance your objectives

100 Points. Six Objectives. One Strategy.

Reach, engagement, traffic, and conversions all matter, but you can’t maximize everything at once. In OptalX, you get 100 percentage points to allocate across your objectives. Every point you move changes the forecast, so the trade-offs are visible the moment you make them.

A powerful exercise to run with leadership: adjust priorities together and agree on the mix before a dollar is spent.

Qualitative Impact: measure what’s hard to measure

A billboard will never beat a Meta ad on conversion rate, so most platforms shift all the spend to Meta. Qualitative Impact is a custom objective for things like brand sentiment and brand association. Give it weight, and OptalX forecasts the impact that shows up down the road.

Try it: set your objective mix

30
10
10
15
25
10
Points remaining0
Efficiency
0
Scale
0
Long-term sales lift
0
Balanced

Simplified demonstration. In OptalX, forecasts are calculated from your data and industry benchmarks.

Two kinds of metrics

Direct Response and Brand Equity, in One Forecast

Most tools make you choose between performance metrics and brand metrics. OptalX forecasts both for every scenario in a single view, then shows how today’s brand equity gains turn into tomorrow’s sales.

Direct response metrics

The short-term results your team reports on every week.

ReachEngagementTrafficView-through conversionsClick-through conversionsView-based revenueClick-based revenueView-based ROASClick-based ROASView-based CPAClick-based CPA

Brand equity metrics

The long-term impact that standard dashboards miss.

Brand awareness liftBrand consideration liftBrand favorability liftBranded search liftLong-term conversion liftCost per brand awareness liftCost per brand consideration liftCost per brand favorability liftCost per branded search liftCost per long-term conversion lift
Where it all adds up

Long-Term Conversion Lift

See what your brand equity gains are worth in sales down the road. OptalX translates awareness, consideration, favorability, and search lift into the conversions they’re forecast to drive weeks and months from now.

90 dayse.g., forecast horizon
Time lags

Know How Patient to Be

Impressions don’t turn into awareness, consideration, or sales overnight, and the delay is different for every channel and placement. OptalX forecasts the time lag from impression to awareness lift, consideration lift, and long-term conversion lift for each placement, so you know when to wait and when to optimize.

Avoid pausing campaigns that are working on a delay.

Set realistic expectations with leadership.

Compare search, social, programmatic, TV, and audio on equal footing.

Forecasted time lag by channel

07d30d60d90d+

Example forecast: Brand awareness lift by placement

Every forecast range comes with its expected time lag.

Channel · Placement · TacticSpendBrand awareness liftTime lag
Meta · Various placements · Various tactics$459,528680K – 920K0.1–3 days
Google Search · Search · Non-branded$345,92668K – 92K0.1–2 days
Google Search · Search · Branded$324,9553K – 5K0.1–2 days
Programmatic · Advanced TV · Prospecting$95,00029K – 39K1–10 days
Programmatic · Display · Prospecting$85,00042K – 57K1–14 days
Total$1,400,000892K – 1M
Scale limits

Know How Much Each Channel Can Really Take

A media mix model might tell you to spend more on retargeting, but it has no idea how many people are actually in your retargeting pool. OptalX does. It starts with the real numbers in your ad accounts, adjusts them for your dates, and factors in auction competition, so every recommendation stays within what each placement can deliver.

Real numbers from your ad accounts

Your current retargeting pools, prospecting audience sizes, and search volume for the keywords you target.

Adjusted for your dates

A three-day campaign can’t reach your whole retargeting pool, since not everyone logs in or keeps their cookies. Planning months ahead? OptalX forecasts what those audiences will be by then.

Projected audience reach ratio

The share of each audience or search volume you can realistically reach, based on competition, bids, and historical performance in search, social, and programmatic auctions.

Realistic spend by placement

Campaign length
Retargeting pool todayRealFrom your ad account0
Available in your datesAdjusted0
Projected reachReach ratio0
Realistic spend ceiling$0

Illustrative numbers. In OptalX, these come from your ad accounts and auction data.

How it works

From Budget to Balanced Strategy in Minutes

OptalX turns your marketing objectives into a complete media mix strategy and budget allocation, then forecasts the outcome of every variation.

1Plan

Enter your budget

Set the budget for any initiative: an upcoming month, a sale, a launch, or an event.

2Plan

Balance your objectives

Allocate 100 points across reach, engagement, traffic, conversions, and qualitative impact.

3Plan

Add your channels

Add your channels. OptalX pulls in real audience sizes and search volume, plus 6,000+ benchmarks.

4Forecast

Run scenarios

Create as many variations of your strategy as you need and see what each one may gain or give up.

5Forecast

Compare outcomes

See direct-response and brand equity forecasts side by side, with time lags and long-term conversion lift.

6Optimize

Optimize every week

Make micro-optimizations as new data comes in, without losing sight of the big picture.

How intermix modeling forecasts impact

Your minimal history + your industry’s trend data = a fast, reliable forecast

3.5K3.1K2.7K2.3KTimeKPI lift Ad launched Untracked or unknown events
Your historical dataIndustry trend dataOptalX forecasted liftActual lift
The technology · Intermix modeling

Forecasts in Minutes, Not Months

Traditional media mix modeling needs a lot of historical data and a lot of patience. OptalX developed the world’s first intermix model (IMM), built by former engineers from Facebook, LinkedIn, and IBM. It pairs your first-party data with granular industry trend data from similar advertisers, so it can forecast with minimal history and keep pace with day-to-day decisions.

Your data plus industry trends

Blends your historical outcomes with trending performance from advertisers like you to fill the gaps.

Grounded in your real audiences

Uses the real audience sizes, search volume, and auction competition in your ad accounts to set realistic spend limits, by placement or down to the ad.

The world’s first intermix model

A proprietary method from former Facebook, LinkedIn, and IBM engineers that fills the gap between big-picture MMM and the decisions your team makes every week.

Use cases

One Platform for Every Planning Decision

From monthly plans to last-minute promotions, OptalX helps your team make faster, better-informed budget decisions.

Monthly planning

Plan a media mix for an upcoming month based on your historical data or trends from advertisers in your industry.

Scenario planning

Forecast what may be gained or sacrificed with each variation of your marketing strategy.

Weekly optimization

Make weekly micro-optimizations to your media mix based on live first-party or trending industry data.

Quick promotions

Decide how to allocate budget on the fly for an upcoming promotion, sale, release, or event.

How-high-is-up assessments

See the realistic spend ceiling for each channel, based on your audience sizes, search volume, and competition.

Brand benchmarking

Add custom data segments to your Benchmark Library to inform future planning at any level of granularity.

FAQs

Frequently Asked Questions

Everything you need to know about forecasting your media mix with OptalX.

01What does OptalX do?

OptalX is a media mix planning and forecasting platform. It turns your marketing objectives into a media mix strategy and budget allocation, then forecasts the short- and long-term outcome of every scenario across both direct-response and brand equity metrics.

02How is OptalX different from media mix modeling (MMM)?

Traditional MMM is built for big-picture, macro decisions. It typically needs large amounts of historical data and can take months to produce results. OptalX combines your first-party data with granular industry trend data, so it can forecast in minutes with minimal history and forecast at the channel and placement level, with the option to go as deep as individual ads, keywords, and audiences. OptalX also looks inside your ad accounts at real audience sizes and search volume, so it won’t recommend more retargeting spend than your retargeting pool can support. MMM is still important, and we encourage brands to use it. OptalX takes it several steps further for day-to-day decisions.

03What is the projected audience reach ratio?

It’s the share of an audience or search volume you can realistically reach. OptalX starts with the real numbers in your ad accounts, like your current retargeting pool or the search volume for your keywords. It then projects how much of that you can reach based on your dates, platform usage, auction competition, bids, and historical performance, and keeps forecasts and budget recommendations within those limits.

04How much historical data do I need?

Very little. Where your own benchmarks are thin or missing, OptalX fills the gaps with 6,000+ integrated benchmarks from advertisers in your industry. As you add your own data, forecasts become even more tailored to your brand.

05What are brand equity metrics?

Brand equity metrics capture the longer-term impact of your media: brand awareness lift, brand consideration lift, brand favorability lift, and branded search lift. OptalX forecasts each of these alongside your direct-response metrics, along with the cost per lift.

06What is Long-Term Conversion Lift?

Long-Term Conversion Lift translates your forecasted brand equity gains into the conversions they are expected to drive over time, for example, 90 days from now. It connects brand building to the sales outcomes leadership cares about.

07What is the Qualitative Impact objective?

Qualitative Impact is a custom objective for value that is hard to measure, like brand sentiment and brand association. It keeps channels such as billboards from being undervalued just because they don’t compete with social ads on conversion rate, and it lets you forecast the impact they deliver down the road.

08What are time lags, and why do they matter?

Every channel and placement takes a different amount of time to move from impression to awareness, consideration, and long-term conversions. OptalX forecasts those time lags so your team knows how patient to be before judging performance or optimizing a campaign.

09Which channels does OptalX support?

OptalX models paid search, paid social, programmatic display, video, CTV, and audio, broadcast radio, linear TV, and more. You can add custom channels and data segments to your Benchmark Library at any level of granularity.

10How do I get started?

Book a demo with our team. We’ll walk you through the platform and show you how different scenarios play out for your brand.

Still have a question? Schedule a demo →

See the Bigger Picture Before You Spend

Bring your next media plan. We’ll show you how different scenarios play out across brand and performance, in the short term and the long term.

Book a Demo →▶  Watch DemoBuilt by former engineers from Meta, LinkedIn, and IBM