Is Your CRM Strategy Ready for Black Friday?

The 5-Step CRM audit I’d do before planning another campaign

Paid partnership post with Omnisend

Quick answer: Is your CRM ready for Black Friday? Review last year’s customer behaviour, test your key automations, check whether your segments reflect BFCM buying patterns, assess deliverability, and find where customers drop out before planning more campaigns. AI can help surface the evidence faster, but your team should decide what to fix.

Every year, Black Friday/Cyber Monday planning seems to start in the same place: the campaign calendar.

• How many emails are we sending?
• When does early access start?
• What is the offer?
• What are VIPs getting?

Those questions matter, but they’re not the first questions I’d ask.

Before adding more activity, I want to know whether the CRM programme underneath is ready for the extra pressure.

• What worked last year?
• Where are customers dropping out?
• Which automations are doing their job, and which have simply been running in the background untouched?
• Are we using our data well enough to make the increased volume relevant?
• And, are there problems we should deal with before we increase frequency?

Black Friday has a habit of magnifying what is already happening in your CRM. Strong journeys get more opportunities to convert. Weak journeys get more people pushed through the same gaps.

So before asking “what are we going to send?”, I’d run a BFCM CRM readiness audit, and, use AI to help you do so…

1. Start with what customers actually did last year

I wouldn’t start by finding the email with the highest open rate. I’d start with customer behaviour:

• Which campaigns generated clicks, conversions and revenue?
• Which audiences responded?
• Which products or offers changed behaviour?
• What happened as frequency increased?
• Did unsubscribes or complaints rise?
• Which customers bought during BFCM and then bought again, and which disappeared as soon as the discount did?

The aim isn’t simply to identify last year’s winning campaign so you can recreate it. It’s to understand the customer decisions behind the numbers.

If one audience responded and another didn’t, why? If an offer drove a spike in first purchases but very little subsequent value, was it really as successful as the campaign report suggests?

That gives you something much more useful than a list of last year’s top-performing sends.
It gives you evidence for what to repeat, what to change and what not to assume this year.

Reminder: Don’t just rely on surface engagement metrics alone.

Omnisend’s 2026 Ecommerce Marketing Report found that click-to-conversion increased 53% year on year, from 5.9% to 9%, even as click rates declined.
Fewer people clicked, but those who did were much more likely to buy – that is exactly the kind of behavioural shift you want to understand before deciding what to repeat this BFCM.

2. Stress-test the journeys that will be doing the work in the background

BFCM isn’t only a campaign event. It creates more browsing, more sign-ups, more baskets and, hopefully, more customers entering your automated journeys.

That makes automation one of the first places I’d look.

• Review welcome, browse abandonment, basket abandonment, post-purchase and any other high-intent or high-volume journeys.
• Check the triggers, timing, exclusions and message sequence. Look at performance at message level, not just the journey total.
  • Are customers receiving conflicting communications?
  • Is one message doing most of the work while the rest add very little?
  • Where are people engaging but not progressing?

This matters because automation can do a disproportionate amount of the commercial work.

Omnisend’s data found that automated emails represented just 2% of email volume but drove 30% of email sales.

It also found that welcome, cart abandonment and browse abandonment accounted for 76% of automated orders and that each automated email generated 16x more revenue per send than a scheduled campaign ($2.87 versus $0.18). (Omnisend 2026 Ecommerce Marketing Report)

All of that makes reviewing the journeys sitting behind your BFCM campaigns commercially important, not just a housekeeping exercise – if your campaigns succeed in generating attention but the journeys behind them aren’t working properly, you can create more demand without capturing as much of its value as you should.

3. Review your segmentation before you increase frequency

One of the easiest BFCM traps is assuming more demand means everyone needs more email. They don’t.

A recent purchaser, a highly engaged prospect, a lapsed customer and a VIP customer are not making the same decision. Yet it’s very easy for them to end up receiving variations of the same campaign simply because Black Friday is important to the business.

Before finalising the send plan, look at the segments you can genuinely use.

• Think about purchase recency and frequency, category or product affinity, engagement, customer value, previous promotional behaviour and where someone is in their relationship with you.
• Then add another layer – look at the specific audience behaviour during the YoY BFCM period.
  • Who purchased during BFCM last year but hasn’t purchased since?
  • Who only purchases when you discount? Are you treating habitual promotional buyers differently from customers who regularly purchase at full price?
  • Who was highly engaged with BFCM campaigns last year but didn’t purchase?
  • Who purchased before BFCM last year versus waiting for the deepest discount?
  • Which existing customers stopped purchasing in the run-up to BFCM and then converted during the event? (This can help you understand whether your promotions are creating incremental demand or simply shifting the timing of an intended purchase.)
  • What did different customer groups buy? Did new customers, existing customers, VIPs or discount-led customers gravitate towards different products, categories, bundles or price points?
  • Did BFCM attract a materially different type of new customer? Compare their first-to-second purchase rate, subsequent engagement and value with customers acquired during normal trading periods.
  • Who bought gifts rather than products they would typically purchase for themselves?

There is good reason to look at peak behaviour separately, and in detail.

Omnisend’s report found that Q4 engagement was lower, but average order value nearly doubled compared with other quarters.

Customers can behave differently during peak, so your usual segmentation assumptions need testing against what they actually did during BFCM and the wider Holiday Season.

Overall, the useful question isn’t “how many segments can we create?” It’s “where does knowing something about this customer materially change what we should say, offer or ask them to do?”

That is where segmentation starts earning its keep.

4. Check deliverability before turning up the volume

BFCM is not the moment to discover that the health of your email programme has been quietly deteriorating.
Before increasing frequency, look at recent bounce rates, spam complaints, unsubscribes and engagement trends.

Review how inactive contacts are being treated, whether your suppression rules still make sense and whether there are segments you should be more cautious about mailing heavily.

Look at the trend as well as the headline number. A gradual deterioration can be easy to miss when campaigns are reviewed individually, but much more obvious when you step back and look across a longer period.

You’re about to ask more of your email programme. Make sure the signals underneath it suggest it can take the extra pressure, and that you warm up your domain(s) and IP(s) before you increase volume.

5. Find the revenue leaks before creating more activity

This is probably the area I’d spend the most time on: where are customers already showing intent but failing to progress?

It could be that you’re seeing silent Customer Drift™ or not purposefully building Customer Momentum™.

Look for the moments where somebody does something valuable and then stops:

• They browse repeatedly but don’t purchase.
• They add to basket but disappear.
• They subscribe but never make a first purchase.
• They buy once but never make the second purchase.
• Previously valuable customers become inactive.

Those are often more interesting opportunities than another campaign idea because the customer has already given you a signal. The job is to understand what may be stopping the next decision, and what CRM can do to help.

BFCM will bring more people into these journeys – fixing an existing leak before increasing the volume flowing through it can be considerably more valuable than simply adding another send to the calendar.

Use AI to shorten the analysis, not the thinking

The obvious problem with the audit I’ve just described is time.

CRM teams are already busy, and manually pulling reports, comparing campaigns and working through automations can take hours.

This is where I think AI is becoming genuinely useful for CRM teams, and it’s the part of Omnisend’s recent development that I find particularly interesting.

Omnisend can now connect with ChatGPT and Claude via MCP – that means the opportunity goes beyond using AI to write another subject line. You can use the conversation to work with information from the Omnisend account and accelerate parts of the audit, including reporting, segmentation and automation analysis.

For BFCM, that could mean asking it to compare last year’s campaign performance, identify possible lifecycle revenue leaks, review message-level automation performance, suggest segments from purchase and engagement data, or flag deliverability signals that deserve a closer look.

The important bit is what happens next. AI can help you get to the evidence faster, but I still want the CRM team making the decision. Why is this happening? What does it tell us about the customer? What should we change? What should we test?

Five questions I’d put to the data before BFCM

Rather than treating AI as a blank page and asking it to “optimise BFCM”, I’d give it a specific diagnostic job.

For example: “Act as a CRM, email marketing and data analysis expert and….

• Review recent campaign cadence, automation coverage and performance. What are the three areas I should investigate before BFCM, and what evidence points you to them?”
• Where are customers showing intent but failing to progress? Identify the three most significant lifecycle revenue leaks you can see and show me the evidence.”
• Review my highest-volume automations at message level. Where does performance weaken, and which journeys or messages deserve investigation before BFCM?”
• Using purchase history and engagement data, where would treating customers differently be most useful for BFCM? Suggest three segments and explain what is meaningfully different about each audience.”
• Review recent bounce rates, spam complaints, unsubscribes and engagement signals. What has changed, and what should I investigate before increasing send frequency?”

The wording matters.

You’re not asking AI to decide the BFCM strategy.

You’re asking it to help surface the evidence you need to make better decisions.
THEN build the campaign calendar

Once you understand what worked, where customers are dropping out, which automations need attention, which audiences should be treated differently and whether your deliverability is healthy, campaign planning becomes much more useful.

You may still decide to send more. You may create early access, VIP campaigns, promotional reminders and last-chance messages. The difference is that they’re now sitting on top of a CRM programme you’ve actually interrogated rather than one you’ve simply assumed is ready.

For me, BFCM CRM planning shouldn’t start with “what are we going to send?”.
It should start with “what do we need to understand or fix before we send it?”

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